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Exam Code: HPE2-CP04 Practice exam 2022 by team
HPE2-CP04 Implementing and Modernizing Virtualization

Exam ID : HPE2-CP04
Exam type : Web based
Exam duration : 1 hour 10 minutes
Examlength : 60 questions
Passing score : 60%
Delivery languages : English

This exam tests the candidates ability to explain and demonstrate relevant ISV and partner technologies used in implementing and modernizing HPE virtualization solutions. This exam assesses the candidates knowledge of the design, implementation, and support of HPEs virtualization solution technologies.

Complete the training and review all course materials and documents before you take the exam. Exam items are based on expected knowledge acquired from job experience, an expected level of industry standard knowledge, or other prerequisites (events, supplemental materials, etc.).
Successful completion of the course alone does not ensure you will pass the exam.
Read this HPE exam Preparation Guide and follow its recommendations.
Visit HPE Press for additional reference materials, study guides, practice tests, and HPE books.
What to Expect with Discrete Option Multiple Choice (DOMC) exams:
This exam uses the DOMC question format. It is quite different than traditional multiple choice exams. It is designed to increase exam fairness, to protect exam integrity, your exam scores and your time.
How is DOMC different? Instead of presenting all the answer options together at one time, DOMC questions present answer options one at a time, at random When an answer option is presented, you select either Yes or No to indicate if the option is correct or not. This process repeats until the question concludes
You may see more than one correct option You may receive as few as one option for each test question or several options Once you move forward, you may not go back and change your response to a previous option We created an HPE trial test to help you practice using this DOMC test format. During registration, you will be asked to confirm that you have completed the HPE DOMC trial test and understand how this exam will perform

20% Identify and describe software defined infrastructure technologies and requirements.
Identify and describe the common virtualization solution building blocksincluding VMware, Microsoft HyperV, Redhat Linux.
Identify and describe the common management and automation solution building blocksincluding, Security, Monitoring, Image Repository, Config Mgmt and automation, DevOps Tools, etc.

30% Describe the businesscasesfor modernizing virtualization.
Given a scenario, counselcustomer on identifying use casesfor virtualization based on their existing environment and industry trends.
Describe appropriate HPE solution offerings and articulate the value proposition.
Given a customer scenario, recommend and describe appropriate solutionsto modernize virtual infrastructure.
Differentiate between HPE and competitive solutions.
Identify and describe key enhancementsthe HPE infrastructure or bundling add to the solution.

35% Architect solutionsfor virtualizing server, storage and networking infrastructure to modernize HPE virtualization environments.
Articulate featuresin Blade, Synergy and Gen10 servers.
Use available HPE Reference Architecturesto architect a customer solution, combining elementsfrommultiple RAs and customizing each asrequired.
Describe the sizing and configuration tools associated with these solutionsfromHPE and Relevant 3rd parties.
Describe the integration between HPE infrastructure and ISV solutions.

15% Implement solutions optimized for performance and availability on HPE infrastructure leveraging HPE integration elements.
Articulate key optimizationsfromsolution and RA documentation that differentiate the HPE solution.
Implement integration components between HPE infrastructure and ISV solutions.

Implementing and Modernizing Virtualization
HP Virtualization teaching
Killexams : HP Virtualization teaching - BingNews Search results Killexams : HP Virtualization teaching - BingNews Killexams : What Is Workspace Virtualization? And Does Your Business Need It?
  • Workspace virtualization can increase efficiency and productivity by running all the tools and software an employee may need from a data center rather than a single PC. 
  • Businesses can virtualize all devices they use, such as virtualized desktops and VoIP phones. 
  • Workspace virtualization can reduce costs and increase the efficiency of IT departments by allowing for the standardization and easy deployment of data and applications to all employees across a company.  
  • This article is for business owners and managers who are curious about workspace virtualization and whether it fits their business needs. 

Are you meeting your employees’ tech needs? Workspace virtualization can help. Employees are demanding more from their devices, and IT staff are struggling to meet expectations. Workspace virtualization allows small businesses that want cutting-edge technology but have a limited budget to better fulfill users’ tech expectations while preventing IT staff from becoming overwhelmed.

Workspace virtualization can provide significant benefits to SMBs. Whether a business is looking for greater flexibility for its employees, reduced costs or better IT efficiency, workspace virtualization, if successfully deployed, can help. We’ve put together the following primer explaining how virtualization works and how businesses can benefit. 

What is workspace virtualization?

“Workspace virtualization is the ability to abstract a user’s workflow and untie it from the constraints of the physical desktop,” said Joe Stone, network engineer at, a networking and collaboration solutions provider. This means that employees get the same working experience, regardless of their device or location. “A user’s desktop, applications and data can be available to them anywhere because it is no longer dependent upon a single workstation or operating system.” 

One example is desktop virtualization, in which a user’s full Windows workstation can be run from the data center rather than from a single PC, Stone said. “The desktop experience can be accessed from almost any physical device,” he said.  Such is the case at a hospital or clinic, where a doctor can receive a patient’s record in their office, close their session and resume it from a tablet in an exam room, Stone noted. “The very same session that was started in the office can be picked back up right where it was left off, even though the location and device used to access it has changed,” he said. [Related article: Virtualization vs. Cloud Computing: What’s the Difference?]

Similarly, workspace virtualization can extend beyond desktops to all the devices that a small business uses.

“You could [virtualize the entire office space by] using laptops, high-speed Internet, video cameras and VoIP [Voice over Internet Protocol] phones,” said Michael Thompson, also a network engineer at “An employee could be sitting at their kitchen table but, through the use of technology, have access to everything that they would normally have access to in the office.” 

Workspace virtualization can also be used by employees outside the office. For instance, most engineers are in the field every day with just a laptop, cell phone and, when available, an internet connection, Thompson said. The tools they rely on include virtual private networks (VPNs); externally available email through Microsoft Exchange’s Outlook Anywhere protocol, which is accessible via Webmail, cell phones and Outlook; instant messaging client Jabber; and web conferencing, desktop sharing and online collaboration software Webex.

“These tools allow us to stay in contact with the main office, as well as other engineers [who] may be able to lend a helping hand,” Thompson said.

Key takeaway: With workspace virtualization, a business can host everything an employee needs for their work in a data center. This allows an employee to log in and access their desktop environment, along with all data and applications, from any physical device. 

What are the benefits of workspace virtualization?

Workspace virtualization offers several benefits, such as greater IT efficiency, reduced costs and a better employee experience. 

Greater IT efficiency

Workspace virtualization provides greater efficiency for IT administrators because it streamlines the management of devices while meeting employee expectations.

“Workspace virtualization centrally manages the key elements of a user’s computing experience,” said Sean Donahue, lead account director at Ivanti, an IT solutions provider. It ensures that users have the right mix of IT services based on key elements, such as their location and devices, he said.

It also simplifies IT management for all users so IT personnel don’t have to tend to individual machines. “By centrally managing the personalization, data and settings separately from the underlying operating systems, devices and delivery platforms, IT is able to reduce the complexity often associated with managing users,” Donahue said.

Workspace virtualization can have a major impact when it comes to changing operating systems (OSs). For instance, with Microsoft ending support for Windows XP, companies that have workspace virtualization in place have likely already migrated successfully, Donahue said. “That’s because one of the largest challenges of a migration is restoring a user’s personalization and settings, which, in many cases, must be manually reconfigured when changing OS or devices.” 

However, with workspace virtualization, when a user logs in to a new device or updated OS, all of their settings and customizations will be applied automatically, Donahue noted. “To a user, the migration is seamless, and because of that, the barrage of service-desk calls often associated with a major migration project [is] extremely limited because the experience is familiar and users can continue working as usual.” 

The same holds true for other infrastructure changes, thus making the process much faster and more cost-effective, Donahue said.

Did you know?Did you know?: Workspace virtualization allows IT personnel to test out system changes or updates on a test virtual machine before rolling it out to the wider company. After confirming an update doesn’t break anything, IT personnel can roll out the change to employee virtual machines easily without any employee interaction

Reduced costs

Workspace virtualization can also lower IT costs for small businesses. It offers not only a platform for centralized management of many resources, but also standardization of equipment and services. Thompson said this results in reduced IT personnel overhead, as they no longer have to support as many desktop or laptop machines, which can be taxing on a small IT staff.

Workspace virtualization also lets businesses have a mobile and agile workforce, which can reduce the cost of office space, Thompson added.

Better employee experience

Workspace virtualization also benefits small businesses because it improves employees’ satisfaction with the company’s technology, including the devices themselves and the benefits of anytime, anywhere access.

“Workspace virtualization allows your workforce to work more efficiently and in a manner that more closely resembles the way they use technology in their personal lives,” Stone said. “People have grown accustomed to instant access to data and applications from anywhere at any time, and can grow frustrated when they don’t have the same access when it comes to their jobs.”

How does a business know if it needs workspace virtualization?

Although workspace virtualization offers many benefits to small businesses, it’s not the right solution for every company. A small business’s decision whether to employ workspace virtualization depends on individual requirements, such as the number and type of users and IT capabilities. [Related article: The Pros and Cons of Virtualization

“Complexity is a major driver for implementing workspace virtualization technologies,” Donahue said. “In most cases, as a small business grows past a few hundred users, meeting those users’ expectations can grow more challenging.”

There is also the issue of remote workers, for whom businesses may be looking at desktop virtualization solutions that offer flexibility, he said. “In most cases, the added personalization and security benefits that workspace virtualization can offer for these deployments make the investment worthwhile.”

TipTip: If your business doesn’t have dedicated IT staff, or is seeking to free up personnel for other duties, an IT managed service provider (MSP) might be a good fit for you. An MSP can handle a variety of operations, including setting up workspace virtualization.

IT strategy is also increasingly being driven by the need to keep users satisfied and productive, Donahue said. Workspace virtualization can help businesses that fall into this category. “IT departments that are having trouble keeping up with the demand from users can use workspace virtualization as a springboard for improving how IT services are managed.”

This is especially the case for small businesses with limited IT staff and budget.

“Many smaller companies don’t have dedicated IT staff to deal with the daily issues of traditional physical desktop deployment,” Stone said. “There are many desktop or software-as-a-service options available to small businesses that remove the support burden from the organization and turn it into a predictable service fee that is easy to budget for. Small businesses that have a mobile workforce and little to no internal IT support are perfect candidates for these options.” [Related article: What Is SaaS (Software as a Service)?]

Jeremy Bender ​​contributed to the writing and reporting in this article. Source interviews were conducted for a previous version of this article.

Wed, 16 Nov 2022 10:01:00 -0600 en text/html
Killexams : How to enable virtualization on Windows 11 Windows 11 enable virtualization © Future Windows 11 enable virtualization

On Windows 11, virtualization enables you to run multiple instances of Windows 11, older versions, and operating systems from other platforms, such as Linux. In addition, the support allows you to enable other virtualization experiences like Windows Subsystem for Linux (WSL) and Windows Subsystem for Android (WSA).  

Although Windows 11 has virtualization support, it's something that, in most cases, you may have to enable manually in the Unified Extensible Firmware Interface (UEFI) firmware and on the operating system's settings.

This guide will walk you through the steps to enable all the features and components to support virtualization on Windows 11.

How to enable hardware virtualization on Windows 11

To enable hardware virtualization on Windows 11, use these steps:

  1. Open Settings.
  2. Click on System.
  3. Click the Recovery page on the right side.
  1. Under the "Recovery options" section, click the Restart now button for the "Advanced startup" setting.
  2. Click the Restart now button again.
  3. Click on Troubleshoot.
  4. Click on Advanced options.
  5. Click the UEFI Firmware Settings option.
  1. Click the Restart button.
  2. In the UEFI settings, open the AdvancedConfiguration, or Security page.
  • Quick note: If you need help finding the setting, you may have to check your hardware manufacturer to determine the location to enable the feature.
  1. Turn on virtualization. 
  • Quick note: The feature may have the "Virtualization Technology," "Intel Virtual Technology," or "SVM mode," but the name could be different on the motherboard.
  1. Save the settings.
  2. Restart computer.

Once you complete the steps, the computer will have support for virtualization features on Windows 11. 

How to enable software virtualization on Windows 11

After enabling the virtualization at the hardware level, you can enable the virtualization components available on Windows 11 or install other solutions, such as VMware. (VirtualBox from Oracle doesn't require hardware or software virtualization to be enabled before installation.)

To enable the software virtualization elements on Windows 11, use these steps:

  1. Open Settings.
  2. Click on Apps.
  3. Click the Optional features page on the right side.
  1. Under the "Related settings" section, click the "More Windows features" setting.
  1. Check the Hyper-V option to enable the Microsoft virtualization elements and the tools to create and run virtual machines on Windows 11.
  2. Check the Virtual Machine Platform option to enable the virtualization components to set up other virtualization solutions, such as Windows Subsystem for Linux (WSL), Windows Subsystem for Android (WSA), or another software that requires this technology.
  3. Check the Windows Hypervisor Platform option to add an extended user-mode API for third-party virtualization stacks and apps.
  • Quick note: It's uncommon for regular users to enable this feature. Usually, you will only need to enable this feature if you have to set up a solution that requires it.
  1. Click the OK button.
  2. Click the Restart now button.

After you complete the steps, you can create virtual machines with the Hyper-V manager. Depending on your selection, you can install other solutions like WSL, WSA, and other platforms.

More resources

For more helpful articles, coverage, and answers to common questions about Windows 10 and Windows 11, visit the following resources:

You May Be Also Interested in:

Wed, 09 Nov 2022 01:07:00 -0600 en-US text/html
Killexams : What Is Data Virtualization?

The vast amount of data that companies manage comes in many forms, including structured and unstructured. To be effective, enterprises must be able to view all of their data in one place, in real time. They must also be able to translate the data to glean actionable insights from it. Data virtualization is the solution.

Data virtualization is a method of data management that refers to the compiling of all enterprise data in one place, regardless of its source. This is completed via a virtual data layer that aggregates all data across disparate systems.

Also see: Understanding Database Virtualization: 5 Key Points

How Does Data Virtualization Work?

The process of data virtualization is quite simple. Data is accessed in its original form and source. Unlike typical “extract, transform, and load” (ETL) processes, virtualization doesn’t require data to be moved to a data warehouse or data lake first.

Data is aggregated in a single location, known as a virtual data layer. Using this layer, enterprises can develop simple, holistic, and customizable views (also known as dashboards) for accessing and making sense of data. 

Using these tools, users can also pull real-time reports, manipulate data, and perform advanced data processes such as predictive maintenance. Data is easily accessible via dashboards from anywhere.

The virtualization process is most commonly completed using data virtualization software. Many platforms exist, including those from industry leaders such as IBM, Oracle, and TIBCO.

The Benefits of Data Virtualization

The benefits of data virtualization for growing enterprises are many. Data virtualization enables IT teams to gain access to real-time data regardless of source to Improve decision-making, increase productivity, and reduce overall costs.

Combines Structured and Unstructured Data

The data held in various sources such as relational and non-relational databases will be both structured and unstructured. While structured data is typically numbers and other values, unstructured data is more complex and comes in the form of video files, IoT sensor data, and other examples.

Analyzing unstructured data can be a challenge. However, it’s an incredible source of insights.

The best way forward is to combine structured and unstructured data, a process that is made simple through data virtualization processes and software.

Eliminates Data Replication

Enterprises require real-time access to up-to-date data at all times. Unfortunately, traditional processes such as ETL require data to be replicated whenever updated data is requested. Data replication is expensive as it requires ever-growing levels of storage. It also results in duplicate and incorrect data that can skew datasets.

Data virtualization doesn’t require replication. Instead, data is kept in its original source yet viewed in a virtual layer. This means virtualization can result in higher-quality data faster and at a lower cost.

Improves Decision-Making

While data is critical to the decision-making process, not just any data will do. The data used must be accurate, up-to-date, and logical. It must also be displayed in a way that all stakeholders can understand, whether a user is a data scientist or a C-level executive.

Data virtualization enables stakeholders to access the specific data they need when they need it. Because data isn’t just a replication from any given time, all data is accurate to the minute. This results in full business visibility that enables stakeholders to pivot quickly with confidence.

When integrated with data visualization tools, virtualization software allows users to see real-time data in an easy-to-understand form. For example, data can be displayed in charts or graphs.

See also: Best Data Visualization Tools in 2022

Enhances Productivity

Data virtualization enhances productivity in many ways. First, virtualization improves data access. There’s no need for users to access multiple applications or serversall data is collected into a single resource. Users can get in, grab the data they need, and get back to work.

Data virtualization also simplifies the data analysis process. Virtualization software offers an easy-to-use interface that even those unfamiliar with data analysis can use. Stakeholders can quickly access the data they need to make quick business decisions. Plus, these self-service capabilities will reduce the workload for IT and data teams.

The enhanced productivity resulting from data virtualization enables enterprises to move quickly. Processes such as product development can also become more efficient. As a result, enterprises gain a competitive advantage within their industries.

Reduces Infrastructure Costs

Data virtualization requires fewer resources than traditional data integration methods. For example, due to the elimination of replication, enterprises can reduce the amount of data storage they must pay for. Virtualization also results in fewer data sources to manage, which saves teams time and effort.

Simplifies Data Security and Governance

Data security and governance strategies ensure data is protected and used appropriately. Unfortunately, as enterprises grow, data and its sources become increasingly complex. Security and governance quickly become impossible to manage.

Data virtualization simplifies data governance by delivering a single source of truth. All data sources are integrated into one, enabling IT teams to enforce centralized data security and governance policies. In addition, data virtualization platforms include features such as access control and the ability to integrate with other data security tools.

How Is Data Virtualization Used Today?

The increase in data volume and the need for real-time access are resulting in serious growth within the data virtualization market. Recent data shows that the global market is expected to reach $22.2 billion by 2031, growing at a CAGR of 21.7%.

Many enterprises across industries are utilizing data virtualization to Improve data access, reduce costs, and boost productivity.

  • In retail, data virtualization enables enterprises to view everything from inventory levels to customer behavior across stores in one centralized location. 
  • In manufacturing, data virtualization enables users to quickly pinpoint areas of improvement in production, resulting in improved manufacturing yield.
  • In healthcare, data virtualization enables stakeholders to access real-time patient data across sources to provide the highest quality care.
  • In telecommunications, data virtualization enables enterprises to use accessible data to quickly resolve support tickets and Improve the customer experience.

The Challenges of Data Virtualization

While it’s incredibly beneficial across industries, data virtualization does come with its own set of challenges. For example, just like any other digital transformation project, an upfront investment is required. Enterprises must invest in data virtualization software, staff training, and other components.

In addition to the investment, other challenges exist:

  • Virtualization is complex: Modernizing a data infrastructure isn’t easy. And data virtualization isn’t as simple as purchasing and implementing software. In many cases, data virtualization tools must be implemented in conjunction with other tools such as ETL. The virtualization process can quickly get complex.
  • Specific expertise is required: The virtualization of the data and its future management requires specific expertise that some enterprises may not have current access to. Companies may need to hire professionals specifically for virtualization or look for third-party assistance, which can drive up costs.
  • Data retrieval depends on source uptime: As data is gathered directly from the source in real time, data retrieval requires the source to be up and running when a query is made. If the source (such as a database or software) is experiencing downtime, data retrieval won’t occur.

Data Virtualization: Related Terms

The subject of data virtualization includes a wide range of terms, some of which are used interchangeably. To gain a solid understanding of data virtualization and management, it’s important to be clear on these terms. Some common, data-specific terms enterprises must be familiar with include:

  • Data management: Data management is the process of collecting, storing, and managing data. Data virtualization is a process included within the practice of data management.
  • Data consolidation: Data consolidation is the process of combining data from various sources into one. For example, all data may be consolidated into a data warehouse or lake. While data consolidation is similar to virtualization, consolidation is missing the virtual data layer that enables access to real-time data.
  • Data warehouse: A data warehouse is a large set of data gathered from various sources. Data inside the warehouse is structured and processed, ready for analytics.
  • Data lake: A data lake is a simple repository of data. Unlike the data warehouse, data inside the data lake is unstructured and raw.

See also: Top Data Analytics Tools & Software for 2022

Sun, 04 Dec 2022 00:14:00 -0600 en-US text/html
Killexams : Top Data Virtualization Tools

Data virtualization is the process of cleansing and integrating data from various sources so it can be more readily accessed and analyzed by business users. It eliminates redundancy, standardizes formats, and makes data accessible through a single source. It integrates business intelligence, data visualization, and databases to help users query and analyze data while keeping them secure.

What are Data Virtualization Tools

Data virtualization tools are used to uncover data insights using a combination of data discovery, data modeling, and virtual data integration. They provide access to information without requiring detailed knowledge of its source or structure.

Data virtualization tools simplify data integration processes using metadata to understand each data source’s structure, semantics, and usage. A data virtualization solution bridges the gap between isolated systems. It enables users with self-service capabilities to access various data sets from multiple sources within or outside an organization.

Also see: Best Data Analytics Tools 

Best Data Virtualization Tools

Many companies are looking for the best data virtualization tools to work with as they explore ways to increase their productivity and efficiency. To help them make an informed decision, we have compiled a list of the top data virtualization tools rated highly by experts and users.

These rankings were based on popularity, ease of use, and how much value each data virtualization tool provides its users. Implementing one of these technologies can reduce operational costs and Improve data quality.

Also see: Top Data Visualization Tools 


SAP logo

SAP HANA Cloud is a single database as a service (DBaaS) foundation for modern applications and analytics across all enterprise data. It’s a comprehensive, scalable and flexible in-memory database – with an elastic, on-demand pricing model that allows organizations to pay only for what they need. It also offers advanced data virtualization capabilities – Including data federation, integration and replication – to move data seamlessly among different sources and formats so users can query any data type or source without concern for underlying schema complexity.

With SAP HANA Cloud, customers can build modern applications that combine data from many sources and run them at scale without compromise. Customers can leverage big data capabilities like distributed processing and real-time event handling to create a new generation of apps that support today’s analytics, collaboration, machine learning and digital transformation needs.

Key features

  • Data, federation integration and replication.
  • Provides comprehensive business visibility with a real-time gateway to all your data across apps, data storage, multi-cloud, and hybrid environments.
  • This tool is capable of handling OLTP and OLAP workloads for a variety of transactional and analytical databases.
  • Perform commands, and automate and customize applications.
  • Predict IT upgrades’ performance and cost-effectiveness and secure your IT landscape during and after changes.
  • Configure, modify, and monitor database performance, and automate advanced processes.
  • Stores, processes, and analyzes geospatial, graph, JSON document, and other data.


  • Friendly user interface.
  • Integration with other SAP products.
  • Saves maintenance cost.
  • Feature-rich.


Denodo logo

Denodo is a leading data integration, management and delivery platform that helps enterprises manage their entire data infrastructure. It offers the widest range of capabilities for accessing, handling and delivering all types of data across clouds, databases and Big Data environments without moving it from its original repositories.

It also delivers a single version of truth for analytics across all sources and governance to ensure compliance with company standards. Denodo is built for both technical and business users, including CIOs, CDOs, CDAOs, enterprise architects, developers, data scientists, and cloud architects.

Key features

  • Denodo Platform can be licensed on AWS Cloud, Microsoft Azure, and Google Cloud Platform for faster deployment.
  • Connects to any data source, including databases, data warehouses, cloud applications, big data repositories, and Excel files.
  • Denodo is built to integrate, manage, and deliver data in complex, hybrid, multi-cloud systems while maintaining high performance, security, and governance.
  • Denodo platform enables self-service BI, data science, hybrid/multi-cloud data integration, and corporate data services.
  • Combine data from various sources, including structured, streaming, social, and flat files


  • Consolidate data from multiple sources.
  • User friendly.

TIBCO Data Virtualization

TIBCO logo

The TIBCO Data Virtualization solution delivers a complete, self-service data virtualization environment for business intelligence (BI), data warehousing and analytics. With the solution, users can consolidate all their enterprise data sources into one virtualized platform and easily build and manage new data connections to systems they need to access.

TIBCO data virtualization empowers IT departments by consolidating existing disparate toolsets so they can focus on managing how business information is accessed and used across the organization. It gives analysts immediate access to all data, which helps them develop actionable insights and act on them in real-time. Using a self-service directory of virtualized business data, users can search, select, and use BI or analytics tool to get results.

Key features

  • Its web UI is a self-service data provisioning and data catalog web user interface that lets users browse for accessible data and develop and publish their views for usage in third-party applications.
  • Integrated governance and security ensure the delivery of only sanctioned data, including visibility, traceability, provenance, control, authentication, authorization, and encryption.
  • Developers use the graphical modeling environment to model data, design data services, implement transformations, optimize searches, and manage resources.
  • Its centralized metadata management enables users to create and show detailed entity relationship diagrams and data models to meet new business needs.
  • Its advanced query engines let users query, federate, abstract, and deliver data.


  • Connects to multiple databases.
  • Fast data query.
  • Easy to use with minimal technical support.

Oracle Virtualization

Oracle logo

Oracle Virtualization is a flexible and easy-to-use tool that can be used with various platforms. It also includes high availability, load balancing, and virtual machine management. Built for security, efficiency and performance, Oracle Virtualization provides exceptional reliability. In addition, it’s an easily customizable platform that allows for smooth scalability and large data volumes.

Key features

  • Supports on-premise and cloud workload.
  • Enable security updates without rebooting.
  • Patches hypervisors automatically with zero downtime.


  • Easy to manage
  • Integration with other Oracle solutions

Red Hat jBoss Data Virtualization

Red Hat logo

Red Hat jBoss Data Virtualization enables enterprises to work more efficiently by providing data abstraction, federation, integration and transformation capabilities. It helps organizations reduce costs of development and deployment with the ability to combine data from one or multiple sources into reusable logical data models.

With JDBC (Java Database Connectivity) or ODBC (Open Database Connectivity) access, organizations can access the information with their existing applications. A rich set of web services APIs enables cross-platform connectivity to third-party systems, including other enterprise databases, NoSQL databases, SaaS, and flat files for agile data utilization.

Key features

  • Offers centralized access control, and auditing.
  • Simplifies data access to speed application development and integration.
  • Offers read/write access to heterogeneous data storage in real-time.
  • Integrate and transform data semantics per user needs.


  • Highly scalable and flexible.
  • Ease of use.
  • Comprehensive documentation.
  • Efficient support team.

Actifio GO

Actifio logo

Actifio GO is a data management platform that provides organizations with automated, self-service provisioning and refresh of enterprise workloads. Actifio enables enterprises to stay current with rapidly evolving IT needs while safeguarding their business-critical data and ensuring regulatory compliance. Additionally, Actifio integrates with Google Cloud Storage (GCS) via its Nearline storage service for backup and disaster recovery for GCP or hybrid environments.

Key features

  • Data encryption in transit and at rest.
  • Multi-region disaster recovery.
  • Self-service sign-up, simple deployment and central management for backup and recovery of VMs, SQL Server and SAP HANA databases inside Google Cloud and on-premises VMware VMs.
  • SLA-driven data management.


  • Data recovery.
  • Efficient customer support.
  • Multi-region disaster recovery.
  • Access data instantly, even after unsubscribing.


AtScale logo

AtScale is an enterprise-grade data virtualization platform that enables organizations to securely and rapidly access data from various sources. The semantic layer solution leverages the robust infrastructure of cloud data platforms such as Snowflake, Databricks, Microsoft Azure, Amazon Redshift and Google BigQuery to provide end-to-end support for analytics. It provides a platform for integration, analytics acceleration and orchestration of these engines via its Semantic Layer.

The tool allows data consumers to seamlessly connect with the analytics tools they already use, like Tableau, PowerBI, Excel, Jupyter and Looker. Companies can have their organization’s complete portfolio of business intelligence (BI) tools in one place while managing all data dependencies.

Key features

  • Data integration, blending and migration.
  • AtScale’s Insights models and workbooks provide multidimensional Cloud OLAP analysis without data prep or engineering.
  • Its virtual cube catalog enables easy, frictionless access to vast data.
  • Its design canvas visually and intuitively connects to any data.


  • SQL Server Analysis Services (SSAS) performance improvement.
  • Efficient support team.

IBM Cloud Pak for Data

IBM logo

IBM CloudPak for Data is a data and AI platform that delivers on-demand insights to business leaders. It provides instant access to all your company’s data and lets you run predictive analytics. IBM CloudPak for Data offers various deployment options, including an on-premises software version built on the Red Hat OpenShift container platform or a fully managed version built on the IBM Cloud.

The tool manages data spread across distributed stores and clouds by providing an intuitive user interface that makes all of it easily accessible. IBM CloudPak for Data also integrates with other IBM products to provide end-to-end data management and security features.

Key features

  • Utilize Netezza, a high-performance data warehouse, to enhance analytics.
  • Prepare, cleanse, and govern your data in the same tool.
  • End-to-end AI lifecycle.
  • Deliver a unified experience based on metadata and active policy management.


  • Intuitive user interface.
  • Multi-cloud storage option.
  • Feature-rich.

Informatica PowerCenter

Informatica logo

Informatica PowerCenter is a leading enterprise-class data integration platform that enables you to integrate and transform data to accelerate business insight. It provides out-of-the-box capabilities for unstructured data, enterprise applications, cloud and SaaS applications, predictive analytics and machine learning. PowerCenter supports analytics and data warehousing, application migration, consolidation, and data governance.

Key features

  • Users may use data transformation to parse JSON, PDF, XML, Microsoft Office, and IoT for non-relation data.
  • The product offers tools for analytics, data warehousing, data governance, consolidation, and application migration.
  • Cloud applications connectivity.
  • Rapid prototyping, profiling, and validation.
  • Script-free automated data validation testing.


  • Maintains data quality during the ingestion and integration process.
  • Supports public clouds such as Microsoft Azure and Amazon Web Services.
  • Automation.
  • Collaboration.

Stone Bond Enterprise Enabler

Stone Bond Technologies logo

Stone Bond Enterprise Enabler is a data and application integration that delivers a set of enterprise-ready components to create and deliver high-quality business information. It integrates data virtualization, extract, transform, load (ETL), enterprise application integration (EAI), service-oriented architecture (SOA) and master data services in a single platform.

It facilitates the delivery of valuable insights from disparate sources of information for decision-making purposes. Integrating data from heterogeneous databases into one uniform presentation with metadata about the underlying structure enables easy access to data for collaboration and visualization purposes.

Key features

  • Simple drag-and-drop to auto-generate virtual models in minutes or seconds for BI reports, web services, and apps.
  • Automatically develop and host queryable virtual models (ODBC, JDBC, SOAP, REST, oData, ADO.Net, and BDC or BCS).
  • Data masking and obfuscation.
  • Consolidate all EE features, including Enterprise Enabler Studio, self-service portal, web APIs, and documentation in one console.


  • Supports GDPR compliance, RLS, and CLS.
  • Data lineage.

SAS Federation Server

SAS logo

SAS Federation Server data virtualization software provides a business-centric view of all enterprise data, empowering organizations to find, use, and deliver the information they need to make better decisions.

With SAS Federation Server, you can centralize disparate data sources within your organization’s infrastructure, simplify connections to remote locations, and securely share access to the appropriate data sources with those who have been granted access permissions. The result is an easier-to-use environment that optimizes user productivity while reducing administration costs and complexity.

Key features

  • Improved performance with in-memory data caches and scheduling.
  • Defines a user or group’s catalog, schema, table, column, and row access permissions.
  • Apply data quality functions such as match-code generation, parsing and other tasks inside the view.
  • Advanced data masking and encryption.
  • SAS Federation Server accesses, manages, and shares SAS data with major relational databases such as DB2, Oracle, SAP, SQL Server, Teradata, and Greenplum.


  • Ease of use.
  • Interactive interface.
  • Improves efficiency.

K2View Dynamic Data Virtualization

K2View logo

K2View is a leading data virtualization software company. Their dynamic data virtualization platform ingests data from various sources. It unifies, transforms, and enriches it to be shared across users and systems to enable more insightful decision-making. K2View’s solution for data virtualization also handles data masking tools when required, ensuring the privacy of sensitive information throughout the process.

Key features

  • Enables access to live data through a logical abstraction layer.
  • The tool allows you to choose which data product data will be virtualized, unified, processed, orchestrated, and delivered from source to destination.
  • Implement reverse ETL.
  • Compliant with data privacy regulations such as GDPR, CCPA/CPRA, LGPD, HIPAA, and PCI DSS.


  • Centralized data management.
  • Integration on-prem, in the cloud, or hybrid.
  • High-scale data delivery.


Cdata logo

Cdata is a data connectivity and integration tool that offers customers a flexible approach to handling, transforming, and integrating large sets of diverse data sources. It can connect to various data sources, including cloud and SaaS applications, data warehousing, management, governance, AI, ML, BI and analytics and other enterprise application systems.

The solution integrates data from multiple systems and formats into a centralized repository where business users can leverage it, analytic models and advanced processes at both the transactional and deep insights levels.

Key features

  • Cdata drivers, adapters, and cloud connectivity solutions provide real-time data to Tableau, Power BI, Excel, Sisense QuickSight, DataStudio, and Spotfire.
  • Enterprise-level ETL may bring together the information stored in any large database or data warehouse so that it can be accessed whenever necessary by users, including analysts, data scientists, developers, AI, and decision-makers.
  • Cdata offers visual and secure application and data integration solutions based on an open architecture.


  • Easy to implement.
  • Supports multiple databases.
  • Automatically and continuously integrate data into Google BigQuery, Snowflake, Microsoft SQL Server, and Amazon Redshift.

Data Virtuality

Data Virtuality logo

Data Virtuality is a scalable data virtualization platform that combines data virtualization and ETL to provide data professionals with a data integration tool that enables them to extract any data from their legacy systems, transform it into a format suitable for use in modern applications, and distribute it across their environment. The tool offers self-service interfaces for business users and developers who need data connectivity without the involvement of IT experts.

Key features

  • Agile data management.
  • Offers over 200 data connectors.
  • Use metadata repositories to Improve master data management.


  • Self-service capabilities.
  • Supports several use cases, including data governance, data quality checks, self-service BI, and data preparation.
  • Flexible ETL/ELT model building.

Also see: Top Cloud Companies

Key Features of Data Virtualization Solutions

There are several features to consider when shopping for a data virtualization tool. They include:

Fully integrated

Data virtualization solutions integrate the data and processes of all aspects of your organization – from master data management to business intelligence. This means that information is always current, accurate, and seamlessly accessible across the enterprise.


A data virtualization solution provides a single point for accessing all data types, including transactional, analytic and structured/unstructured data sources. The ability to query by either metadata or content makes it easy to access just the suitable dataset without performing complex searches through multiple databases.

Centralized deployment of rules

Different departments within an organization may have different views on how data should be organized, processed and accessed. Data virtualization software gives you central control over these decisions so organizations can take advantage of data no matter where it resides in its raw form.

Business users don’t need training in specific programming languages; they can create custom data models, views, queries and reports with drag-and-drop simplicity. The fact that there is one version of the truth for all team members removes potential disagreements over data definitions and opportunities to work around IT rules by sending inquiries directly to individual databases.

Access controls

Data virtualization software offers flexible security options for controlling who has access to data. It also provides role-based controls (such as access privileges based on roles) to deliver users only the rights they require to perform their job functions.

Zero latency

Most data virtualization solutions offer zero latency querying, even when combining datasets stored in disparate systems. Allowing interactive, ad hoc exploration and analysis of datasets as they are being loaded dramatically reduces query timeframes and frees up scarce IT resources for other projects.

Easily consistent

Data virtualization software keeps creating, distributing and maintaining master data consistent and error-free because it supports integration between corporate applications such as CRM, ERP and OLAP tools.

Data transformation

With data transformation, you can quickly and automatically convert your data into the format required by any downstream system. This eliminates the need to manually reformat data whenever you want to use it in a different system.

Multidimensional analysis

Data virtualization software enables this analysis, which involves examining multiple perspectives on a set of data simultaneously. This allows analysts to explore and analyze trends and relationships in ways that would not otherwise be possible. As part of this capability, data virtualization also stores subsets of data from each dimension, allowing them to be combined and analyzed.

Also see: Real Time Data Management Trends

Benefits of Data Virtualization Software

Data virtualization software offers several benefits that can help companies Improve their data management and analysis. This includes easily accessing data from all sources, which is often difficult or impossible in the absence of data virtualization software.

It also provides an environment where different data types can be analyzed and queried relatively easily and simplifies storing, managing and accessing this information.

Data virtualization solutions can also eliminate many time-consuming tasks associated with maintaining complex databases and spreadsheets by centralizing disparate datasets. These features, combined with other benefits like mobility and scalability, make data virtualization software an invaluable asset for any company looking to simplify its processes.

This enables businesses to make better decisions by accessing more accurate and complete information. Other benefits include:

  • Ability to generate reports faster as the process does not require the same manual intervention as with traditional technologies.
  • Improve decision-making processes by merging disparate datasets.
  • It allows companies to meet compliance requirements for data reporting across organizational units or jurisdictions.
  • Flexible enough to adapt as new hardware or software becomes available.

Choosing the Right Data Virtualization Tool for your Enterprise

There are different types of data virtualization tools available, but not all tools are created equal.

Choosing the right data virtualization tool depends on understanding how much flexibility is required by your company’s business practices; however, there are some general guidelines to follow when shopping around for this type of solution.

  • Make sure that any data virtualization software can work with other critical enterprise applications such as ERP or CRM.
  • Choose a provider that offers multiple access levels to ensure everyone has the appropriate level for their job function.
  • Make sure you’re getting value for money because it can get expensive quickly when deploying large amounts of technology across an organization.
  • Be sure to check out customer reviews before making any final decisions. These reviews can help determine whether the product is worth the cost.
  • Find out about training and support options offered by each vendor before buying.
  • Ensure that training is included in the package price and that you’ll have 24/7 access to support staff after purchase. It’s also helpful if vendors provide templates or plug-ins that make it easier for new users to use the data virtualization tool without having extensive technical knowledge.

Finding the perfect data virtualization software for your enterprise can be challenging with so many factors involved. However, considering these five features can go a long way toward finding success in the data virtualization sector.

Wed, 30 Nov 2022 10:15:00 -0600 en-US text/html
Killexams : HP decimates staff

Decimation of company

The maker of expensive printer ink HP has decimated its staff claiming that is justified due to the Covid-19 pandemic.

While HP must have made a killing as businesses rushed to buy hardware so their staff could work from home, during the pandemic, it appears that Covid is now being used as the reason for PC sale's slumping.

The computing giant has revealed its 2022 fiscal year results, showing fourth quarter revenues down 14.8 per cent compared to the same period last year so the answer is getting rid of ten per cent of staff.

The mass layoffs come after HP expanded the workforce by around 10,000 workers compared to this time last year. 

In what it calls its “Fiscal year 2023 Future Ready transformation” and anyone else might call “a slew of cost-cutting measures”, HP claimed it would make savings across around “digital transformation, portfolio optimisation and operational efficiency.”  At some point, history will say that workers killed managers who used this sort of language, particularly when they come to announce job cuts, and humanity generally benefited. 

Wed, 23 Nov 2022 20:09:00 -0600 Nick Farrell en-gb text/html
Killexams : Teaching Advice for Grad Students

The first time Maria (a pseudonym) taught a college class as a graduate student, the experience was so demoralizing that after the semester ended, she no longer wanted to be a professor. She had been assigned an introductory anthropology course just three weeks before the start of the semester. Her department chair’s only advice had been to look at another instructor’s syllabus.

“No one talked to me about pedagogy, no one shared teaching or adult learning resources, and certainly no one taught me how to create a syllabus or structure the class toward specific learning outcomes,” she recalls. And no one taught her techniques for engaging her students.

When it didn’t go well, Maria blamed herself. She assumed that her students’ apathy meant that she just wasn’t good at teaching: “As someone who was struggling unawares with impostor syndrome, I internalized what I considered my inability to teach until it damaged my sense of self. At the time, I thought, ‘If I cannot teach the basic principles of my discipline, I have no business being a faculty member,’” she told us.

Teaching as a graduate student, even under the best of circumstances, is distinctly challenging. You’re not yet an expert in the field, you may be not much older than the undergraduates in front of you and you’re juggling all the challenges of beginning to teach along with the intense pressure of graduate studies. In addition, you may be getting messages from your program to put teaching last and prioritize your research. Even simple things like being added to the schedule at the last minute can feel like a signal that your teaching contributions are an afterthought.

Nonetheless, graduate students teach introductory courses that may determine an undergraduate student’s future success in college. You are often teaching the front-door courses that allow students to continue in their major or complete core requirements. Some evidence suggests that undergraduates may even be more likely to adopt a major when a graduate student rather than a faculty member leads their initial coursework.

So if you are a graduate student who will begin teaching next semester and you’ve received little (or no) instruction, how can you quickly prepare so that your experience is not as demoralizing as Maria’s?

We suggest you take an approach that centers on what we believe is the most important aspect of teaching (and, frankly, what decades of research supports): forming connections. Taking time to get to know your students, designing ways for them to connect to each other and thinking hard about how you’re going to help students make personal connections to the course material will deliver you the best chance at creating a course that you and your students look forward to.

Connecting to you. Let’s start with the first week. On day one—or module one of an online course—consider kicking things off with an overview of why you are excited about the course Topics or sharing a little bit about your educational journey and how it brought you to where you are now.

If you don’t have any experience teaching this course, you don’t need to share that. Instead, tell them about your knowledge of the material, the number of years you have been studying it and any fieldwork or professional experience you’ve had. If you feel comfortable, share some of the struggles you encountered as an undergraduate. The details of what you share are not as important as establishing a rapport with your students and communicating that you believe they can be successful in your course.

Connecting to other students. Once you’ve given your students a chance to get to know you and the course topics, use some time for an activity that allows students to get to know their classmates as well as addresses their expectations and concerns about the class. A surefire activity to accomplish both goals is to have students come to consensus around a set of expectations for your engagement and theirs. Think of it as co-constructing the goals of the course on the first day.

First, explain to the students that you’d like their input to establish a productive classroom learning community. Next, split students up into groups of four to five; this can be done face-to-face or online, in large lecture courses or small seminars. Ask them to generate a list of five expectations for classroom behavior, or, alternatively, suggestions for how you can best help them learn in the class. One of us, Aeron, often primes the pump by mentioning that past classes have asked that she return papers/tests within a certain period of time, or that students arrive on time and wait to enter the room if another student is presenting, etc.

Once student groups have generated their five suggestions, ask for a volunteer from each group to present the group’s suggestions while you record them. You can respond in real time to some of their suggestions. For example, if students request their papers returned within a week, you might let them know that because of your teaching load you won’t be able to get papers back within one week but pledge to get them back in two. Or you could collect all the groups’ suggestions, thank them and then use a few minutes of the next class to summarize their ideas and respond.

This activity can be done in online classes in a discussion board or Padlet with a group leader summarizing their group’s ideas. Such activities enable students to engage with each other in an authentic way as knowledgeable participants who have things to contribute to the shared learning of the course on day one. In conducting them, you signal to students that you are open to their input, and you also ask them to share in the responsibility for the success of the course. In that first engagement with students, you can help them better understand you and who you are as an instructor as well as who else is in the class with them.

Connecting to the material. Last, find time in your first week to allow students to make a personal connection to the course material. That could be an individual reflection where students share their previous experiences with the topic, express any fears or concerns they have about the course, or anticipate how the course will be of use to them in their lives.

In an introductory writing course, the other of us, Stephanie, often asked students to share a little about the most meaningful piece of writing they had ever written. Students described writing letters to loved ones, obituaries or essays that had earned them recognition. It helped ground the rest of the semester because students had already identified how meaningful a piece of writing could be.

Beyond the first week, the first time you teach a class you’ll likely be planning a week at a time, and that’s OK. Just keep asking yourself, “How can I help students connect to the course, to one another and to me as their instructor?”

If you are feeling uncertain, seek out resources. Ask to sit in on a class taught by an advanced graduate student, seek out your campus teaching and learning center (if you have one), or read one article about teaching in your discipline. Try to find a “teaching buddy”—a fellow graduate student with whom you can share strategies, failures and successes. That can be a rewarding and time-saving partnership if you decide to share materials and resources.

Keep the Connection Going

Finally, schedule a time during the semester when you will collect anonymous feedback from your students. We recommend somewhere between a third and halfway through the semester, but this can be done earlier. Consider asking your campus teaching center to conduct a midsemester feedback session with your students or creating an anonymous survey for them to complete online. After the feedback is collected, you’ll want to use time in the following class to address their feedback and explain any changes you plan to make in response to their feedback.

Asking your students for their feedback on your teaching when you are already anxious and uncertain may seem scary, but it can pay big dividends. If students are frustrated with an aspect of the course, discovering that early in the semester gives you an opportunity to address the issue and possibly change some things.

In addition to asking students what you are doing that is helping or not helping their learning, consider including questions that ask students to reflect on their own habits in the class, such as, “What are you doing in this course to help your learning?” Or “What could you start doing that would help you to be more successful in this course?” That encourages students to see the course as a joint enterprise with responsibility on both sides. Student feedback may also reassure you; students often deliver new instructors more grace than expected.

Finally, remember that even if your teaching this semester is imperfect, you belong here. No one is good at teaching right away. Teaching is a practice, and it will take practice to excel at it.

Wed, 30 Nov 2022 05:21:00 -0600 en text/html Killexams : HP Laptop 17 (2022) Review Mon, 28 Nov 2022 04:24:00 -0600 en text/html Killexams : Best HP printers of 2022: Portable, laser, all-in-one, inkjet and more


This month, we've compared the following list of HP printers across multiple aspects including their printing speed and quality to design and build. We've assessed how easy it's to set them up, their running costs, and connectivity options, among other things.

The best HP printers have been around since the company built its first desktop laser printer in 1984, known as the LaserJet. As one of the biggest names for printers, the company produces some of the best printers on the market.

No one model is necessarily the best for HP printers because they come in such a broad range. So, all sorts of users, from photographers, business owners, and home users, can find the most suitable printer for them.