CCA175 obtain - CCA Spark and Hadoop Developer Updated: 2023 | ||||||||
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Exam Code: CCA175 CCA Spark and Hadoop Developer obtain November 2023 by Killexams.com team | ||||||||
CCA175 CCA Spark and Hadoop Developer Exam Detail: The CCA175 (CCA Spark and Hadoop Developer) is a certification exam that validates the skills and knowledge of individuals in developing and deploying Spark and Hadoop applications. Here are the exam details for CCA175: - Number of Questions: The exam typically consists of multiple-choice and hands-on coding questions. The exact number of questions may vary, but typically, the exam includes around 8 to 12 tasks that require coding and data manipulation. - Time Limit: The time allocated to complete the exam is 120 minutes (2 hours). Course Outline: The CCA175 course covers various Topics related to Apache Spark, Hadoop, and data processing. The course outline typically includes the following topics: 1. Introduction to Big Data and Hadoop: - Overview of Big Data concepts and challenges. - Introduction to Hadoop and its ecosystem components. 2. Hadoop File System (HDFS): - Understanding Hadoop Distributed File System (HDFS). - Managing and manipulating data in HDFS. - Performing file system operations using Hadoop commands. 3. Apache Spark Fundamentals: - Introduction to Apache Spark and its features. - Understanding Spark architecture and execution model. - Writing and running Spark applications using Spark Shell. 4. Spark Data Processing: - Transforming and manipulating data using Spark RDDs (Resilient Distributed Datasets). - Applying transformations and actions to RDDs. - Working with Spark DataFrames and Datasets. 5. Spark SQL and Data Analysis: - Querying and analyzing data using Spark SQL. - Performing data aggregation, filtering, and sorting operations. - Working with structured and semi-structured data. 6. Spark Streaming and Data Integration: - Processing real-time data using Spark Streaming. - Integrating Spark with external data sources and systems. - Handling data ingestion and data integration challenges. Exam Objectives: The objectives of the CCA175 exam are as follows: - Evaluating candidates' knowledge of Hadoop ecosystem components and their usage. - Assessing candidates' proficiency in coding Spark applications using Scala or Python. - Testing candidates' ability to manipulate and process data using Spark RDDs, DataFrames, and Spark SQL. - Assessing candidates' understanding of data integration and streaming concepts in Spark. Exam Syllabus: The specific exam syllabus for the CCA175 exam covers the following areas: 1. Data Ingestion: Ingesting data into Hadoop using various techniques (e.g., Sqoop, Flume). 2. Transforming Data with Apache Spark: Transforming and manipulating data using Spark RDDs, DataFrames, and Spark SQL. 3. Loading Data into Hadoop: Loading data into Hadoop using various techniques (e.g., Sqoop, Flume). 4. Querying Data with Apache Hive: Querying data stored in Hadoop using Apache Hive. 5. Data Analysis with Apache Spark: Analyzing and processing data using Spark RDDs, DataFrames, and Spark SQL. 6. Writing Spark Applications: Writing and executing Spark applications using Scala or Python. | ||||||||
CCA Spark and Hadoop Developer Cloudera Developer download | ||||||||
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CCA175 Dumps CCA175 Braindumps CCA175 Real Questions CCA175 Practice Test CCA175 dumps free Cloudera CCA175 CCA Spark and Hadoop Developer http://killexams.com/pass4sure/exam-detail/CCA175 Question: 94 Now import the data from following directory into departments_export table, /user/cloudera/departments new Answer: Solution: Step 1: Login to musql db mysql –user=retail_dba -password=cloudera show databases; use retail_db; show tables; step 2: Create a table as given in problem statement. CREATE table departments_export (departmentjd int(11), department_name varchar(45), created_date T1MESTAMP DEFAULT NOW()); show tables; Step 3: Export data from /user/cloudera/departmentsnew to new table departments_export sqoop export -connect jdbc:mysql://quickstart:3306/retail_db -username retaildba –password cloudera –table departments_export -export-dir /user/cloudera/departments_new -batch Step 4: Now check the export is correctly done or not. mysql -user*retail_dba -password=cloudera show databases; use retail _db; show tables; select’ from departments_export; Question: 95 Data should be written as text to hdfs Answer: Solution: Step 1: Create directory mkdir /tmp/spooldir2 Step 2: Create flume configuration file, with below configuration for source, sink and channel and save it in flume8.conf. agent1 .sources = source1 agent1.sinks = sink1a sink1b agent1.channels = channel1a channel1b agent1.sources.source1.channels = channel1a channel1b agent1.sources.source1.selector.type = replicating agent1.sources.source1.selector.optional = channel1b agent1.sinks.sink1a.channel = channel1a agent1 .sinks.sink1b.channel = channel1b agent1.sources.source1.type = spooldir agent1 .sources.sourcel.spoolDir = /tmp/spooldir2 agent1.sinks.sink1a.type = hdfs agent1 .sinks, sink1a.hdfs. path = /tmp/flume/primary agent1 .sinks.sink1a.hdfs.tilePrefix = events agent1 .sinks.sink1a.hdfs.fileSuffix = .log agent1 .sinks.sink1a.hdfs.fileType = Data Stream agent1 . sinks.sink1b.type = hdfs agent1 . sinks.sink1b.hdfs.path = /tmp/flume/secondary agent1 .sinks.sink1b.hdfs.filePrefix = events agent1.sinks.sink1b.hdfs.fileSuffix = .log agent1 .sinks.sink1b.hdfs.fileType = Data Stream agent1.channels.channel1a.type = file agent1.channels.channel1b.type = memory step 4: Run below command which will use this configuration file and append data in hdfs. Start flume service: flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/flumeconf/flume8.conf –name age Step 5: Open another terminal and create a file in /tmp/spooldir2/ echo "IBM, 100, 20160104" » /tmp/spooldir2/.bb.txt echo "IBM, 103, 20160105" » /tmp/spooldir2/.bb.txt mv /tmp/spooldir2/.bb.txt /tmp/spooldir2/bb.txt After few mins echo "IBM.100.2, 20160104" »/tmp/spooldir2/.dr.txt echo "IBM, 103.1, 20160105" » /tmp/spooldir2/.dr.txt mv /tmp/spooldir2/.dr.txt /tmp/spooldir2/dr.txt Question: 96 Data should be written as text to hdfs Answer: Solution: Step 1: Create directory mkdir /tmp/spooldir/bb mkdir /tmp/spooldir/dr Step 2: Create flume configuration file, with below configuration for agent1.sources = source1 source2 agent1 .sinks = sink1 agent1.channels = channel1 agent1 .sources.source1.channels = channel1 agentl .sources.source2.channels = channell agent1 .sinks.sinkl.channel = channell agent1 . sources.source1.type = spooldir agent1 .sources.sourcel.spoolDir = /tmp/spooldir/bb agent1 . sources.source2.type = spooldir agent1 .sources.source2.spoolDir = /tmp/spooldir/dr agent1 . sinks.sink1.type = hdfs agent1 .sinks.sink1.hdfs.path = /tmp/flume/finance agent1-sinks.sink1.hdfs.filePrefix = events agent1.sinks.sink1.hdfs.fileSuffix = .log agent1 .sinks.sink1.hdfs.inUsePrefix = _ agent1 .sinks.sink1.hdfs.fileType = Data Stream agent1.channels.channel1.type = file Step 4: Run below command which will use this configuration file and append data in hdfs. Start flume service: flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/fIumeconf/fIume7.conf –name agent1 Step 5: Open another terminal and create a file in /tmp/spooldir/ echo "IBM, 100, 20160104" » /tmp/spooldir/bb/.bb.txt echo "IBM, 103, 20160105" » /tmp/spooldir/bb/.bb.txt mv /tmp/spooldir/bb/.bb.txt /tmp/spooldir/bb/bb.txt After few mins echo "IBM, 100.2, 20160104" » /tmp/spooldir/dr/.dr.txt echo "IBM, 103.1, 20160105" »/tmp/spooldir/dr/.dr.txt mv /tmp/spooldir/dr/.dr.txt /tmp/spooldir/dr/dr.txt Question: 97 Data should be written as text to hdfs Answer: Solution: Step 1: Create directory mkdir /tmp/spooldir2 Step 2: Create flume configuration file, with below configuration for source, sink and channel and save it in flume8.conf. agent1 .sources = source1 agent1.sinks = sink1a sink1b agent1.channels = channel1a channel1b agent1.sources.source1.channels = channel1a channel1b agent1.sources.source1.selector.type = replicating agent1.sources.source1.selector.optional = channel1b agent1.sinks.sink1a.channel = channel1a agent1 .sinks.sink1b.channel = channel1b agent1.sources.source1.type = spooldir agent1 .sources.sourcel.spoolDir = /tmp/spooldir2 agent1.sinks.sink1a.type = hdfs agent1 .sinks, sink1a.hdfs. path = /tmp/flume/primary agent1 .sinks.sink1a.hdfs.tilePrefix = events agent1 .sinks.sink1a.hdfs.fileSuffix = .log agent1 .sinks.sink1a.hdfs.fileType = Data Stream agent1 . sinks.sink1b.type = hdfs agent1 . sinks.sink1b.hdfs.path = /tmp/flume/secondary agent1 .sinks.sink1b.hdfs.filePrefix = events agent1.sinks.sink1b.hdfs.fileSuffix = .log agent1 .sinks.sink1b.hdfs.fileType = Data Stream agent1.channels.channel1a.type = file agent1.channels.channel1b.type = memory step 4: Run below command which will use this configuration file and append data in hdfs. Start flume service: flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/flumeconf/flume8.conf –name age Step 5: Open another terminal and create a file in /tmp/spooldir2/ echo "IBM, 100, 20160104" » /tmp/spooldir2/.bb.txt echo "IBM, 103, 20160105" » /tmp/spooldir2/.bb.txt mv /tmp/spooldir2/.bb.txt /tmp/spooldir2/bb.txt After few mins echo "IBM.100.2, 20160104" »/tmp/spooldir2/.dr.txt echo "IBM, 103.1, 20160105" » /tmp/spooldir2/.dr.txt mv /tmp/spooldir2/.dr.txt /tmp/spooldir2/dr.txt Question: 98 Data should be written as text to hdfs Answer: Solution: Step 1: Create directory mkdir /tmp/nrtcontent Step 2: Create flume configuration file, with below configuration for source, sink and channel and save it in flume6.conf. agent1 .sources = source1 agent1 .sinks = sink1 agent1.channels = channel1 agent1 .sources.source1.channels = channel1 agent1 .sinks.sink1.channel = channel1 agent1 . sources.source1.type = spooldir agent1 .sources.source1.spoolDir = /tmp/nrtcontent agent1 .sinks.sink1 .type = hdfs agent1 . sinks.sink1.hdfs .path = /tmp/flume agent1.sinks.sink1.hdfs.filePrefix = events agent1.sinks.sink1.hdfs.fileSuffix = .log agent1 .sinks.sink1.hdfs.inUsePrefix = _ agent1 .sinks.sink1.hdfs.fileType = Data Stream Step 4: Run below command which will use this configuration file and append data in hdfs. Start flume service: flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/fIumeconf/fIume6.conf –name agent1 Step 5: Open another terminal and create a file in /tmp/nrtcontent echo "I am preparing for CCA175 from ABCTech m.com " > /tmp/nrtcontent/.he1.txt mv /tmp/nrtcontent/.he1.txt /tmp/nrtcontent/he1.txt After few mins echo "I am preparing for CCA175 from TopTech .com " > /tmp/nrtcontent/.qt1.txt mv /tmp/nrtcontent/.qt1.txt /tmp/nrtcontent/qt1.txt Question: 99 Problem Scenario 4: You have been given MySQL DB with following details. user=retail_dba password=cloudera database=retail_db table=retail_db.categories jdbc URL = jdbc:mysql://quickstart:3306/retail_db Please accomplish following activities. Import Single table categories (Subset data} to hive managed table, where category_id between 1 and 22 Answer: Solution: Step 1: Import Single table (Subset data) sqoop import –connect jdbc:mysql://quickstart:3306/retail_db -username=retail_dba -password=cloudera - table=categories -where " ’ category_id ’ between 1 and 22" –hive-import –m 1 Note: Here the ‘ is the same you find on ~ key This command will create a managed table and content will be created in the following directory. /user/hive/warehouse/categories Step 2: Check whether table is created or not (In Hive) show tables; select * from categories; Question: 100 Data should be written as text to hdfs Answer: Solution: Step 1: Create directory mkdir /tmp/spooldir/bb mkdir /tmp/spooldir/dr Step 2: Create flume configuration file, with below configuration for agent1.sources = source1 source2 agent1 .sinks = sink1 agent1.channels = channel1 agent1 .sources.source1.channels = channel1 agentl .sources.source2.channels = channell agent1 .sinks.sinkl.channel = channell agent1 . sources.source1.type = spooldir agent1 .sources.sourcel.spoolDir = /tmp/spooldir/bb agent1 . sources.source2.type = spooldir agent1 .sources.source2.spoolDir = /tmp/spooldir/dr agent1 . sinks.sink1.type = hdfs agent1 .sinks.sink1.hdfs.path = /tmp/flume/finance agent1-sinks.sink1.hdfs.filePrefix = events agent1.sinks.sink1.hdfs.fileSuffix = .log agent1 .sinks.sink1.hdfs.inUsePrefix = _ agent1 .sinks.sink1.hdfs.fileType = Data Stream agent1.channels.channel1.type = file Step 4: Run below command which will use this configuration file and append data in hdfs. Start flume service: flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/fIumeconf/fIume7.conf –name agent1 Step 5: Open another terminal and create a file in /tmp/spooldir/ echo "IBM, 100, 20160104" » /tmp/spooldir/bb/.bb.txt echo "IBM, 103, 20160105" » /tmp/spooldir/bb/.bb.txt mv /tmp/spooldir/bb/.bb.txt /tmp/spooldir/bb/bb.txt After few mins echo "IBM, 100.2, 20160104" » /tmp/spooldir/dr/.dr.txt echo "IBM, 103.1, 20160105" »/tmp/spooldir/dr/.dr.txt mv /tmp/spooldir/dr/.dr.txt /tmp/spooldir/dr/dr.txt Question: 101 Problem Scenario 21: You have been given log generating service as below. startjogs (It will generate continuous logs) tailjogs (You can check, what logs are being generated) stopjogs (It will stop the log service) Path where logs are generated using above service: /opt/gen_logs/logs/access.log Now write a flume configuration file named flumel.conf, using that configuration file dumps logs in HDFS file system in a directory called flumel. Flume channel should have following property as well. After every 100 message it should be committed, use non-durable/faster channel and it should be able to hold maximum 1000 events Answer: Solution: Step 1: Create flume configuration file, with below configuration for source, sink and channel. #Define source, sink, channel and agent, agent1. sources = source1 agent1 .sinks = sink1 agent1.channels = channel1 # Describe/configure source1 agent1 . sources.source1.type = exec agent1.sources.source1.command = tail -F /opt/gen logs/logs/access.log ## Describe sinkl agentl .sinks.sinkl.channel = memory-channel agentl .sinks.sinkl .type = hdfs agentl . sinks.sink1.hdfs.path = flumel agentl .sinks.sinkl.hdfs.fileType = Data Stream # Now we need to define channell property. agent1.channels.channel1.type = memory agent1.channels.channell.capacity = 1000 agent1.channels.channell.transactionCapacity = 100 # Bind the source and sink to the channel agent1.sources.source1.channels = channel1 agent1.sinks.sink1.channel = channel1 Step 2: Run below command which will use this configuration file and append data in hdfs. Start log service using: startjogs Start flume service: flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/flumeconf/flumel.conf- Dflume.root.logger=DEBUG, INFO, console Wait for few mins and than stop log service. Stop_logs Question: 102 Problem Scenario 23: You have been given log generating service as below. Start_logs (It will generate continuous logs) Tail_logs (You can check, what logs are being generated) Stop_logs (It will stop the log service) Path where logs are generated using above service: /opt/gen_logs/logs/access.log Now write a flume configuration file named flume3.conf, using that configuration file dumps logs in HDFS file system in a directory called flumeflume3/%Y/%m/%d/%H/%M Means every minute new directory should be created). Please us the interceptors to provide timestamp information, if message header does not have header info. And also note that you have to preserve existing timestamp, if message contains it. Flume channel should have following property as well. After every 100 message it should be committed, use non-durable/faster channel and it should be able to hold maximum 1000 events. Answer: Solution: Step 1: Create flume configuration file, with below configuration for source, sink and channel. #Define source, sink, channel and agent, agent1 .sources = source1 agent1 .sinks = sink1 agent1.channels = channel1 # Describe/configure source1 agent1 . sources.source1.type = exec agentl.sources.source1.command = tail -F /opt/gen logs/logs/access.log #Define interceptors agent1 .sources.source1.interceptors=i1 agent1 .sources.source1.interceptors.i1.type=timestamp agent1 .sources.source1.interceptors.i1.preserveExisting=true ## Describe sink1 agent1 .sinks.sink1.channel = memory-channel agent1 . sinks.sink1.type = hdfs agent1 . sinks.sink1.hdfs.path = flume3/%Y/%m/%d/%H/%M agent1 .sinks.sjnkl.hdfs.fileType = Data Stream # Now we need to define channel1 property. agent1.channels.channel1.type = memory agent1.channels.channel1.capacity = 1000 agent1.channels.channel1.transactionCapacity = 100 # Bind the source and sink to the channel Agent1.sources.source1.channels = channel1 agent1.sinks.sink1.channel = channel1 Step 2: Run below command which will use this configuration file and append data in hdfs. Start log service using: start_logs Start flume service: flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/flumeconf/flume3.conf - DfIume.root.logger=DEBUG, INFO, console Cname agent1 Wait for few mins and than stop log service. stop logs Question: 103 Problem Scenario 21: You have been given log generating service as below. startjogs (It will generate continuous logs) tailjogs (You can check, what logs are being generated) stopjogs (It will stop the log service) Path where logs are generated using above service: /opt/gen_logs/logs/access.log Now write a flume configuration file named flumel.conf, using that configuration file dumps logs in HDFS file system in a directory called flumel. Flume channel should have following property as well. After every 100 message it should be committed, use non-durable/faster channel and it should be able to hold maximum 1000 events Answer: Solution: Step 1: Create flume configuration file, with below configuration for source, sink and channel. #Define source, sink, channel and agent, agent1. sources = source1 agent1 .sinks = sink1 agent1.channels = channel1 # Describe/configure source1 agent1 . sources.source1.type = exec agent1.sources.source1.command = tail -F /opt/gen logs/logs/access.log ## Describe sinkl agentl .sinks.sinkl.channel = memory-channel agentl .sinks.sinkl .type = hdfs agentl . sinks.sink1.hdfs.path = flumel agentl .sinks.sinkl.hdfs.fileType = Data Stream # Now we need to define channell property. agent1.channels.channel1.type = memory agent1.channels.channell.capacity = 1000 agent1.channels.channell.transactionCapacity = 100 # Bind the source and sink to the channel agent1.sources.source1.channels = channel1 agent1.sinks.sink1.channel = channel1 Step 2: Run below command which will use this configuration file and append data in hdfs. Start log service using: startjogs Start flume service: flume-ng agent -conf /home/cloudera/flumeconf -conf-file /home/cloudera/flumeconf/flumel.conf- Dflume.root.logger=DEBUG, INFO, console Wait for few mins and than stop log service. Stop_logs Question: 104 Now import data from mysql table departments to this hive table. Please make sure that data should be visible using below hive command, select" from departments_hive Answer: Solution: Step 1: Create hive table as said. hive show tables; create table departments_hive(department_id int, department_name string); Step 2: The important here is, when we create a table without delimiter fields. Then default delimiter for hive is ^A (01). Hence, while importing data we have to provide proper delimiter. sqoop import -connect jdbc:mysql://quickstart:3306/retail_db ~username=retail_dba -password=cloudera –table departments –hive-home /user/hive/warehouse -hive-import -hive-overwrite –hive-table departments_hive –fields-terminated-by ‘01’ Step 3: Check-the data in directory. hdfs dfs -Is /user/hive/warehouse/departments_hive hdfs dfs -cat/user/hive/warehouse/departmentshive/part’ Check data in hive table. Select * from departments_hive; Question: 105 Import departments table as a text file in /user/cloudera/departments. Answer: Solution: Step 1: List tables using sqoop sqoop list-tables –connect jdbc:mysql://quickstart:330G/retail_db –username retail dba -password cloudera Step 2: Eval command, just run a count query on one of the table. sqoop eval –connect jdbc:mysql://quickstart:3306/retail_db -username retail_dba -password cloudera –query "select count(1) from ordeMtems" Step 3: Import all the tables as avro file. sqoop import-all-tables -connect jdbc:mysql://quickstart:3306/retail_db -username=retail_dba -password=cloudera -as-avrodatafile -warehouse-dir=/user/hive/warehouse/retail stage.db -ml Step 4: Import departments table as a text file in /user/cloudera/departments sqoop import -connect jdbc:mysql://quickstart:3306/retail_db -username=retail_dba -password=cloudera -table departments -as-textfile -target-dir=/user/cloudera/departments Step 5: Verify the imported data. hdfs dfs -Is /user/cloudera/departments hdfs dfs -Is /user/hive/warehouse/retailstage.db hdfs dfs -Is /user/hive/warehouse/retail_stage.db/products Question: 106 Problem Scenario 2: There is a parent organization called "ABC Group Inc", which has two child companies named Tech Inc and MPTech. Both companies employee information is given in two separate text file as below. Please do the following activity for employee details. Tech Inc.txt Answer: Solution: Step 1: Check All Available command hdfs dfs Step 2: Get help on Individual command hdfs dfs -help get Step 3: Create a directory in HDFS using named Employee and create a Dummy file in it called e.g. Techinc.txt hdfs dfs -mkdir Employee Now create an emplty file in Employee directory using Hue. Step 4: Create a directory on Local file System and then Create two files, with the given data in problems. Step 5: Now we have an existing directory with content in it, now using HDFS command line, overrid this existing Employee directory. While copying these files from local file System to HDFS. cd /home/cloudera/Desktop/ hdfs dfs - put -f Employee Step 6: Check All files in directory copied successfully hdfs dfs -Is Employee Step 7: Now merge all the files in Employee directory, hdfs dfs -getmerge -nl Employee MergedEmployee.txt Step 8: Check the content of the file. cat MergedEmployee.txt Step 9: Copy merged file in Employeed directory from local file ssytem to HDFS. hdfs dfs -put MergedEmployee.txt Employee/ Step 10: Check file copied or not. hdfs dfs -Is Employee Step 11: Change the permission of the merged file on HDFS hdfs dfs -chmpd 664 Employee/MergedEmployee.txt Step 12: Get the file from HDFS to local file system, hdfs dfs -get Employee Employee_hdfs Question: 107 Problem Scenario 30: You have been given three csv files in hdfs as below. EmployeeName.csv with the field (id, name) EmployeeManager.csv (id, manager Name) EmployeeSalary.csv (id, Salary) Using Spark and its API you have to generate a joined output as below and save as a text tile (Separated by comma) for final distribution and output must be sorted by id. ld, name, salary, managerName EmployeeManager.csv E01, Vishnu E02, Satyam E03, Shiv E04, Sundar E05, John E06, Pallavi E07, Tanvir E08, Shekhar E09, Vinod E10, Jitendra EmployeeName.csv E01, Lokesh E02, Bhupesh E03, Amit E04, Ratan E05, Dinesh E06, Pavan E07, Tejas E08, Sheela E09, Kumar E10, Venkat EmployeeSalary.csv E01, 50000 E02, 50000 E03, 45000 E04, 45000 E05, 50000 E06, 45000 E07, 50000 E08, 10000 E09, 10000 E10, 10000 Answer: Solution: Step 1: Create all three files in hdfs in directory called sparkl (We will do using Hue}. However, you can first create in local filesystem and then Step 2: Load EmployeeManager.csv file from hdfs and create PairRDDs val manager = sc.textFile("spark1/EmployeeManager.csv") val managerPairRDD = manager.map(x=> (x.split(", ")(0), x.split(", ")(1))) Step 3: Load EmployeeName.csv file from hdfs and create PairRDDs val name = sc.textFile("spark1/EmployeeName.csv") val namePairRDD = name.map(x=> (x.split(", ")(0), x.split(‘")(1))) Step 4: Load EmployeeSalary.csv file from hdfs and create PairRDDs val salary = sc.textFile("spark1/EmployeeSalary.csv") val salaryPairRDD = salary.map(x=> (x.split(", ")(0), x.split(", ")(1))) Step 4: Join all pairRDDS val joined = namePairRDD.join(salaryPairRDD}.join(managerPairRDD} Step 5: Now sort the joined results, val joinedData = joined.sortByKey() Step 6: Now generate comma separated data. val finalData = joinedData.map(v=> (v._1, v._2._1._1, v._2._1._2, v._2._2)) Step 7: Save this output in hdfs as text file. finalData.saveAsTextFile("spark1/result.txt") For More exams visit https://killexams.com/vendors-exam-list Kill your exam at First Attempt....Guaranteed! | ||||||||
In this article, we will be talking about how you can download fonts from websites in Chrome or Edge browser using Developer Tools. Both Chrome and Edge come with built-in web developer and authoring tools used to inspect websites directly in the browser. You can do a lot of things with the Developer Tools. For example, it enables you to identify fonts on a website, search within the source file, use a built-in beautifier, emulate sensors and geographical location, and more. Now, you can also download fonts from a website using Developer Tools. To obtain a font from a website, you will need to go through some options and try a trick. Let’s check out the procedure in detail. In this post, we are going to show you the steps to obtain a font from a website in Google Chrome. You can use the same steps to obtain a website font in your Microsoft Edge browser. Here are the steps to do that:
Let us check out these steps in detail! Firstly, open Google Chrome and go to the website from where you need to obtain a font. Next, go to the three-bar menu and click on the More Tools > Developer Tools option. Alternately, you can also press the Ctrl + Shift + I key combination to quickly open up the Developer Tools panel. Now, in the opened Developer Tools section, click on the double arrow button and then select and open the Network tab from the top menu bar. After that, reload the website you are on. Next, click on the Font category and you will see a list of the embedded fonts with respective font names present on the website. You can select a font from the list and you will see its preview in the dedicated panel as shown in the below screenshot. Now, how to identify the font format? Well, just hover the mouse over the font and see the file extension at the end. Refer to the below screenshot. After that, simply right-click on the font, and then from the context menu, click on the Copy > Copy Response option. Next, add a new tab in your Chrome browser and paste the copied response to the address bar in the tab and then press the Enter button. As you do that, a file will be downloaded. Now, go to your Downloads folder where the above font file is downloaded. You now have to rename this file with the font file extension. For that, first, go to the View tab in the File Explorer and then make sure to enable the File name extensions option. Now, select the downloaded font file and click on the Rename option. Add the identified font file extension (e.g., .woff2) and press the Enter button. Voila, this is how you obtain a font file from a website. Since Microsoft Edge is now based on Chromium, like Chrome, you can obtain a font file in the Edge browser following the same steps as above. Hope this article helped you learn how to obtain fonts from a website in Chrome or Edge browser using Developer Tools. TIP: There are many more Chrome Development Tools Tips and Tricks that you can learn. Now read: Use Developer Tools to clear Site Data for a particular website in Chrome or Edge. ![]() Apple released macOS Sonoma on September 26, 2023, so everyone can now run the latest macOS version on compatible Macs, but not every promised feature was available at launch. Apple will continue to work on macOS14 Sonoma into the summer of 2024 (at which point it will start work on macOS 15). If you are a member of Apple’s beta testing program you will be able to try out the new features before they arrive on everyone else’s Macs. The developer beta of macOS 14 Sonoma has been available to obtain since June 5, 2023. This year the developer beta isn’t just available to developers who have paid to join Apple’s Developer Program (which costs $99/£79), Apple has opened it up to anyone who is a registered developer. We explain how to get a free developer account below. The slightly more stable public beta version is also available for anyone who has signed up for the public beta program. In this article, we’ll run through what you need to do to get your hands on the beta of the next version of the Mac operating system, how to install it, and what you should bear in mind if you don’t want to end up in a pickle. If you have not updated to the latest official release of macOS Sonoma here’s how to update macOS on your Mac. Update October 26, 2023: The macOS Sonoma 14.2 beta is now available. macOS Sonoma beta latest versionThe first version of the developer beta of Sonoma arrived after the WWDC keynote on June 5, 2023 as expected. On July 12, Apple released the first public beta. Following the release of macOS Sonoma 14.1 to the public on October 25, 2023, Apple is now working on the development of macOS 14.2.
![]() Foundry macOS Sonoma public beta vs developer betaApple has made the Developer Beta available to anyone who had registered as a developer, even if they aren’t a paid-up member of Apple’s Developer Program. As a result, people with a basic free developer account were able to obtain the macOS Sonoma developer beta after the keynote on June 5 (we show you how to register below). Whether you should obtain the developer beta if you aren’t a developer is another question. We don’t recommend you install the developer beta if you aren’t a developer. Instead, our recommendation was to wait for the public beta, which is here now. There are a few differences between the public and developer betas. The public beta is not the same as the beta that is released through the developer program. Developers get updates to their beta first, and possibly more frequently. But you should keep in mind that betas are by nature not stable, and because the public beta comes after the developer beta it could be a little safer to install. The most significant difference is probably the motive of the testers: Developers usually have the aim of ensuring their apps work when the updated macOS is released to the general public, while public beta testers are essentially helping Apple detect bugs and offering feedback on the features. Because of this developers may get to test new features not available in the public beta. If you want to get the public beta the first thing you need to do, if you haven’t already, is join Apple’s beta programs read this for more information: How to become an Apple beta tester. ![]() Apple How to get a free developer accountIf you just want a free Apple Developer account so you can access the beta you can get this via Xcode or the Apple Developer app in iOS. Here’s how to do it via the Apple Developer app on an iPhone:
If you wish to actually publish applications to the App Store or receive support, you’ll need to pay $99/£79 per year for a paid account. You can compare the free and paid accounts here. How to get the macOS Sonoma betaThe Sonoma developer beta should show up on your Mac if you are running macOS Ventura 13.4 or later, have paid $99/£79 to enroll in Apple’s Developer program (here) or if you have a free developer account (follow the instructions above). Now the Public Beta becomes available it will also show up on your Mac in macOS Ventura 13.4, as long as you have signed up for the Public Beta program on Apple’s beta webpage, signed the NDA, and enrolled your Mac. Before you obtain a few warnings:
If you are running macOS Ventura 13.4 or later:
![]() Foundry If you are running macOS Ventura 13.3 or earlier: Apple changed the way it delivers betas in Ventura 13.4. If you aren’t yet running that version of macOS you will need to obtain the macOS Developer Beta Access Utility or macOS Public Beta Access Utility. If you were already running an earlier macOS Public Beta you’ll find the new macOS beta as an upgrade via Software Update. Just click on Upgrade Now. You may have to update to the latest version of your current beta before you can do so, if not follow the steps below to get the beta access utility.
![]() How to update macOS beta versionsOnce you are running the beta the updates will come through to your Mac automatically, you just need to click to install.
![]() Everything else you need to know about beta testingThat covers how to get the betas, but once you have them what can you do, and what should you do? We’ll cover that below. Is the macOS beta stable?By its nature, a beta has the potential to be unstable. Therefore it’s not advised that you install it on a Mac that you rely on. If you have a second Mac that isn’t mission-critical then install it there. We strongly recommend that you don’t risk all by putting the macOS beta on your primary macOS, especially not in the early days of the beta development. If you don’t have a second Mac there are a couple of ways you could run macOS beta on your Mac without running the risk of losing data or finding your Mac stops working: We discuss the safety of the macOS beta and the risks you might be taking in more detail in a separate article. If the stability of the beta worries you then you are probably better off waiting until the final version is out, or at least waiting until testing has been happening for a few months before getting the beta. How to prepare your Mac for the betaUpdate your software: We recommend you have the latest full version of macOS installed, although Apple says that the macOS Developer Beta Access Utility requires macOS 10.8 or later. Make space: We’d recommend at least 15GB of available space because the macOS betas tend to be very large. If you end up requiring more space read: How to free up space on Mac. Note that we always recommend that you have at least 10% space free on your Mac at any time, so if you don’t have that expect problems! Back up: Before you install a beta on your Mac you should make a backup of your data and files. You can find out how to use Time Machine to back up your Mac. We also have a round-up of suitable backup solutions. How to send feedback to AppleShould you come across an error or a bug you should use the Feedback Assistant app to provide feedback to Apple. Launch the app and follow the appropriate steps, selecting the area about which you’re providing feedback and then any specific sub-area. Then describe your issue in a single sentence, before providing a more detailed description, including any specific steps that reproduce the issue. You’ll also be able to attach other files. You’ll also have to deliver permission for the Feedback Assistant app to collect diagnostic information from your Mac. ![]() It won’t always be obvious whether something is a bug or just not as easy to use as you might have hoped. Either way, if your feedback is that something appears to work in an illogical way, Apple will want to know that. If you are having trouble with a third-party app you can let Apple know by reporting it through the 3rd-party Application Compatibility category in the Feedback Assistant. However, we’d suggest that you also provide feedback to the app’s developer who will no doubt be grateful. Will I be able to update from macOS beta to the final version?Beta users will be able to install the final build of the OS on release day without needing to reformat or reinstall. Can I talk about the beta publicly?According to Apple and the license agreement all beta testers must agree to, the beta is “Apple confidential information”. By accepting those terms, you agree not to discuss your use of the software with anyone who isn’t also in the Beta Software Program. That means you can’t “blog, post screenshots, tweet, or publicly post information about the public beta software.” However, you can discuss any information that Apple has publicly disclosed; the company says that information is no longer considered confidential. How to downgrade from the macOS betaYou can always revert to an earlier version of macOS, though depending on how you back up, it’s not necessarily a painless process. Start by making sure the data on your drive is backed up, then erase the drive and install the latest public version of macOS. When you first startup your Mac you can use the Migration Assistant to import your data from the backup. Here’s a more detailed tutorial on downgrading from the macOS beta we also have a tutorial on downgrading to an older version of the Mac OS. NEW YORK, Nov. 3, 2023 — Cloudera, Inc., a data company for trusted enterprise artificial intelligence (AI), and Pinecone, a vector database company providing long-term memory for AI, are thrilled to announce a strategic partnership that integrates Pinecone’s AI vector database expertise into Cloudera’s open data platform, aimed at transforming the way organizations harness the power of AI to streamline operations and Excellerate customer experiences.
The partnership will see Cloudera integrate Pinecone’s best-in-class vector database into Cloudera Data Platform (CDP), enabling organizations to more easily build and deploy highly scalable, real-time, AI-powered applications on Cloudera. This includes the release of a new Applied ML Prototype (AMP) that will allow developers to more quickly create and augment new knowledge bases from data on their own website, as well as pre-built connectors that will enable customers to more quickly set up ingest pipelines in AI applications. In the AMP, Pinceone’s vector database uses these knowledge bases to imbue context into chatbot responses, helping to ensure useful outputs. Customers can use this same architecture to set up or Excellerate support chatbots or internal support search systems. This enables them to reduce operational costs by decreasing expensive human case-handling efforts and improving the customer experience with faster resolution times. More information on this AMP and how vector databases add context to AI applications can be found in our blog post here. “Cloudera’s extensive expertise in data management combined with Pinecone’s cutting-edge vector database creates a formidable partnership. A lot of our customers already manage their data with Cloudera. Now it will be easier than ever for them to build AI applications using their embeddings stored with us and data stored with Cloudera. Together we will enable organizations to deliver unparalleled personalized experiences, drive user engagement, and achieve business success,” Elan Dekel, Vice President of Product, Pinecone. “We are excited to bring the power of Pinecone vector database and semantic search capabilities to our public cloud customers to accelerate generative AI use cases, and significantly Excellerate the developer experience at scale.” Abhas Ricky, Chief Strategy Officer, Cloudera. “Integration of Pinecone with CDP adds a very critical new functionality that will help clients build generative AI applications,” said Sanjeev Mohan, founder of SanjMo and former Gartner analyst. “In addition, the planned integration between the open source Apache NiFi-based Cloudera Data Flow (CDF) and Pinecone further bolsters CDP’s emphasis on universal data distribution for AI. CDP customers can bring AI to where their data resides – on-premises, in the cloud or on the edge.” About Cloudera Cloudera believes data can make what is impossible today, possible tomorrow. We empower people to transform their data into trusted enterprise AI so they can reduce costs and risks, increase productivity, and accelerate business performance. Our open data lakehouse enables secure data management and portable cloud-native data analytics helping organizations manage and analyze data of all types, on any cloud, public or private. With as much data under management as the hyperscalers, we’re a data partner for the top companies in almost every industry. Cloudera has guided the world on the value and future of data, and continues to lead a vibrant ecosystem powered by the relentless innovation of the open source community. About Pinecone Pinecone created the vector database, which acts as the long-term memory for AI models and is a core infrastructure component for AI-powered applications. The managed service lets engineers build fast and scalable applications that use embeddings from AI models, and get them into production sooner. Pinecone recently raised $100M in Series B funding at a $750M valuation. The funding round was led by Andreessen Horowitz, with participation from ICONIQ Growth and previous investors Menlo Ventures and Wing Venture Capital. Pinecone operates in San Francisco, New York, and Tel Aviv. Source: Cloudera When Apple released the first iOS 17 beta to developers, for the first time it gave non-developers the opportunity to obtain beta software updates on their iPhones for free. Keep practicing to learn how it's done.
In an unexpected change for 2023, anyone who signs in to Apple's developer account website with their Apple ID gets access to developer beta releases as well, even if they are not a paying member of Apple's Developer Program. This means anyone with an Apple ID can obtain and install the iOS 17, iPadOS 17, and macOS Sonoma betas without waiting for the public betas to launch. Is My iPhone Compatible With iOS 17?Note that iOS 17 is compatible with the iPhone XS and newer, meaning that support has been dropped for the iPhone 8, iPhone 8 Plus, and iPhone X. For a full list, iOS 17 supports the following iPhone models:
Should I Install iOS 17 Developer Beta?Before downloading the update, it's worth noting that Apple does not recommend installing iOS 17 beta updates on your main iPhone, so if you have a secondary device, use that. This is beta software, which means there are often bugs and issues that pop up that can prevent software from working properly or cause other problems. Make an Archived Backup of Your Device FirstBefore installing the beta, make sure to back up your iOS device before installing the software using the following method, otherwise you won't be able to revert back to iOS 16 if things go wrong.
When the backup is finished, you can find the date and time of the last backup in the General tab, just above the Manage Backups button. Remember that this backup will not be overwritten when you manually or automatically back up your iPhone in the future, so you can restore it at any time by using the Restore Backup... option in the same Finder screen. How to obtain iOS 17 Developer BetasAs of writing, the option to obtain and install the iOS 17 Developer Beta is also available for users who have previously enrolled on Apple's Beta Software Program, and yet the program is officially only supposed to be for Public Betas. This suggests the option is a bug and Apple will likely remove it. But until that happens, if you're currently enrolled to receive Public Betas, you can skip to step 6.
iOS 17 Features‌iOS 17‌ is a major update that introduces a customized look for each person that calls, with the person who places the call able to customize their look. With StandBy, an iPhone placed horizontally turns into a little home hub that displays information like the calendar, time, home controls, and more, and Live Activities can be displayed in full screen too. Widgets on the Home Screen are interactive, so you can do things like check off an item on a to-do list or turn off the lights without having to open an app. AirDrop has been improved and there's a NameDrop function for sharing contacts quickly, plus you can hold two iPhones together to start a SharePlay session. SharePlay also now works with CarPlay so passengers can play their music in the car too. Other new features include a journaling app coming later this year, AirPlay in select hotel rooms, improvements to AirPods Pro 2 thanks to a new Adaptive Audio feature, offline Maps, Siri that does not require the "Hey" activation, and improvements to search and spotlight. Apple today released the first developer beta of iOS 17.2, only a day after the launch of iOS 17.1 to the general public. As long as you're enrolled in the Apple Developer Program, which now offers a free tier, you can obtain iOS 17.2 beta 1 to your compatible device, starting with the second-generation iPhone SE and all the way to the new iPhone 15 series. iOS 17.2 beta 1 finally introduces the Journal app, which Apple first mentioned at WWDC back in June. This early version of Journal is a digital diary that allows you to record your daily thoughts and activities with words, photos, music and even workouts. The new iOS beta also brings collaborations to Apple Music playlists, a translation feature to the Action button and a few enhancements to Messages. Typically, you have to pay $99 to officially obtain and install any Apple developer beta software, but this year the company is letting anyone get a crack at iOS 17, as long as you join the Apple Developer Program. Note: If you've already tested out any of the iOS 17 developer betas, you can just go into your settings and you should see iOS 17.2 available to obtain and install. Read more: You Need to Know About These 3 New Features on the iPhone 15 Pro and 15 Pro Max Before you go on and install iOS 17.2, you should know that developer beta versions like this aren't intended for general use, especially because they may have unfinished features and issues that can make the iPhone difficult to use. These early beta releases are, instead, for developers, to help them keep their apps up to date and get early access to the upcoming features. In short, you probably shouldn't install the developer beta on your primary iPhone. If you really want to get iOS 17.2 right now, try to find a spare iPhone that's new enough to work with the latest software. Read more: NameDrop Finally Hits Apple Watch: Here's Everything You Need to Know For folks who still want to dive in, we'll show you how to install the iOS 17.2 developer version on your iPhone, as well as what to do in case you want to revert to a stable version of iOS 17.1. Want to learn more? Here's what you need to know about Vision Pro, Apple's new augmented reality headset. And here's everything new with MacOS Sonoma. What to know before you obtain the iOS 17.2 developer betaBecause the iOS 17.2 developer beta is an early prerelease version, the software could have bugs and other issues. Again, if you're thinking about downloading iOS 17.2, do it on a backup or secondary phone, if available. The iOS 17.2 developer beta's issues could cripple your iPhone and make it difficult to use, disabling phone calls or text messages or making it extremely laggy. However, if you only have your main phone or tablet available, make sure to back up your iPhone on iOS 17.1 (the latest version of iOS 17) before updating to iOS 17.2. That way you have the option to return to iOS 17.1 if there are too many issues on the new OS. Also, you must have an iPhone XS or later to run iOS 17.2. And most importantly, to obtain the iOS 17,2 developer beta, you must be enrolled in the Apple Developer Program. The full membership is $99 a year, but as mentioned above, Apple is now offering a free membership option, with limited tools and resources, that allows pretty much anyone to obtain and install the iOS 17,2 developer beta for free. You can also wait to join the Apple Beta Software program next month, which will provide a more stable iOS 17.2 upgrade than the developer version. You can obtain iOS 17.2 on the iPhone XS and later. How to enroll in the Apple Developer Program, for freeIf you're only interested in testing out the iOS 17.2 developer beta for fun, you don't need to pay for an Apple Developer Program membership. You can easily use your existing Apple ID to sign up for the developer program and obtain developer software onto your iPhone. 1. Go to Apple's Developer website, tap the three-dash menu in the top-right and hit Account. 2. Sign in with your existing Apple ID. 3. Read through the Apple Developer Agreement, check the boxes at the bottom and then hit Submit. You now have a free Apple Developer Program account. You can skip the next step to obtain and install the iOS 17.2 developer beta on your iPhone. You can then scroll to Software Downloads to check out everything you can install, including the iOS 17.2 developer beta. How to enroll in the paid Apple Developer ProgramIf you're a developer, and want full access to development tools and the ability to distribute apps on the App Store, then you'll want to pay for the Apple Developer Program. On your iPhone, here's how you can enroll: 1. obtain the Apple Developer app from the App Store, launch the app, go to Account and tap Enroll Now. 2. Sign in with your Apple ID credentials, read through the various benefits and instructions, enter your personal information and scan your ID to verify your identity. 3. Once this information is submitted, you must choose your entity (individual for most people) and agree to the program license agreement. 4. Finally, pay the Apple Developer membership fee (with Apple Pay), which is $99 (about £80 or AU$140) a year. After you successfully make the payment, you'll be redirected to your Account page in the Apple Developer app. Here you can verify that you're now enrolled, and you can also check out the date of your membership's expiration next year. The Apple Developer app is free to obtain from the App Store. You can install iOS 17.2 with an over-the-air update on your iPhoneThe easiest way to obtain the iOS 17.2 developer beta is with an over-the-air update -- the way you would update to any other new software release on your device. Once you're a member of the Apple Developer Program, free or paid, you'll automatically have the option to install iOS 17.2 from your settings. Here's how: 1. On your iPhone or iPad, go to the Settings > General > Software Update. 2. Next, go into Beta Updates and tap iOS 17.2 Developer Beta. 3. Go back and tap Download and Install under the new "iOS 17.2 Developer Beta option" that appears. You'll need to then enter your passcode, agree to the terms and conditions and wait for the update to be installed. The process takes about 10 to 15 minutes, depending on your internet connection. Once your phone reboots, you should have access to the iOS 17.2 developer beta. All subsequent iOS 17.2 developer beta updates will appear as over-the-air updates here on your iPhone. Or obtain the iOS 17.2 developer beta using your MacOver-the-air updates require a certain amount of storage, and if you don't have that available, your computer is really the only way to update to iOS 17.2 beta without manually clearing out space. 1. On your Mac, go to the Apple Developer Program download page, find "iOS 17.2 beta," click Download Restore Images and download the iOS beta software restore image for your specific device. 2. Connect your device to your computer and enter your device passcode or hit Trust This Computer if prompted. 3. Next, open Finder, click your device in the sidebar under Locations. 4. Hold down the Option key, click Check for Update and choose the iOS 17.2 beta software restore image you just downloaded from the Apple Developer page. The iOS 17.2 developer beta software will install on your device. Wait for a few minutes and when your phone reboots, you should have access. If you don't have space on your iPhone, obtain and install the iOS 17.2 developer beta from your Mac. While you're here, check out the best iPhone model you can get in 2023. And if you're looking for a new computer, check out these laptops you might be interested in. Copyright © 2023 NBA Media Ventures, LLC. All rights reserved. If you are having difficulty accessing any content on this website, please visit our Accessibility page. NBA.com is part of Warner Media, LLC’s Turner Sports & Entertainment Digital Network SANTA CLARA, Calif., Nov. 2, 2023 — New research from Cloudera, the data company for trusted enterprise artificial intelligence (AI), has revealed that more than half of the organizations in the US (53%) currently use Generative AI technology and an additional 36% are in the early stages of exploring AI for potential implementation in the next year.
“Generative AI has taken center stage in boardroom discussions – Whilst analytical AI products have been worked on for decades, ChatGPT has accelerated Gen AI innovation and the road to human level performance has shortened across every industry,” said Abhas, Chief Strategy Officer at Cloudera. “Yet there are concerns regarding trust, compliance, authorization, and intellectual property. Organizations are apprehensive about the potential exposure of training models using publicly available data and/or receiving erroneous responses from AI models that have NOT been trained with relevant enterprise context. Our survey results confirm our understanding that data moats are real and organizations who have been successful in creating trusted and secure data sources will have an advantage in producing higher fidelity outputs with Generative AI applications.” The survey polled 500 IT decision makers (ITDMs) and data scientists in the US regarding their organisation’s status and plans for Generative AI. The results of the study “2023 Evolving Trends: Data, Analytics & AI” were published at the data conference Evolve New York on November 2. Chatbots Most Relevant Use Case for Generative AI Enhancement of customer communication with chatbots or other tools (55%), support for product development (44%), and concept development (44%) are cited as the main benefits generative AI offers organizations. Also named are support for data analysis (34%), software development (32%) or the automation of activities and processes (28%). “The success of these initial use cases, such as chat Q&A, text summarization, and co-pilot productivity enhancements, relies on bringing the models to the data, at the point of its creation and origination, and not the data to the models! For example, a large financial institution is currently making 4 million decisions a day by processing all data through their trusted AI Lakehouse,” said Abhas. Research Methodology Conducted by Coleman Parkes Research, Cloudera’s survey evaluated the opinions of 500 ITDMs and data analysts in the US. Respondents came from organisations with more than 1,000 employees within the following industries: finance, banking, insurance, manufacturing, telecommunications, retail and e-commerce, government and public sector, healthcare and life sciences, technology and software, energy and utilities, education, media and entertainment.  The research was conducted between June and August 2023. About Cloudera Cloudera believes data can make what is impossible today, possible tomorrow. We empower people to transform their data into trusted enterprise AI so they can reduce costs and risks, increase productivity, and accelerate business performance. Our open data lakehouse enables secure data management and portable cloud-native data analytics helping organizations manage and analyze data of all types, on any cloud, public or private. With as much data under management as the hyperscalers, we’re a data partner for the top companies in almost every industry. Cloudera has guided the world on the value and future of data, and continues to lead a vibrant ecosystem powered by the relentless innovation of the open source community. Learn more at Cloudera.com. Source: Cloudera 2023.10 platform release includes powerful new capabilities with Specialised AI and Generative AI, new developer productivity tools, and UiPath Automation Cloud™ improvements COMPANY NEWS: UiPath (NYSE: PATH), a leading enterprise automation software company, today announced its latest platform features that help customers gain real value by transforming millions of tasks and thousands of processes across the enterprise with AI and automation, creating capacity for new ideas and unleashing worker productivity. A recent report by UiPath and Bain & Co. revealed AI is accelerating business change, with 70% of respondents asserting that AI-driven automation is either “very important” or “critical” in fulfilling their organisation’s strategic objectives and 74% stating they anticipate a positive return on investment from their automation endeavors. Still, some leaders and organisations are struggling to adopt AI across their enterprises. According to a report from McKinsey, almost half of organisations (45%) have no AI at scale. New innovations from UiPath lower the barrier between vision and reality for organisations by using AI to uncover automation opportunities, expand what can be automated, and make automation faster, easier, and more accessible to all. Visit the UiPath blog for in-depth information about new platform updates Solving real-world business problems with AI at work The foundation of developer productivity | ||||||||
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