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Here are some highlights from the month of September on the Cloudera Community. Community Activity: 253 new support questions 11 new community articles 840+ new members Top Label Views: Apache Hive Apache NiFi Apache Hadoop Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of September to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @stevenmatison 11 #1 @GangWar 14 #2 @PVVK 4 #2 @Mike in Austin 3 #3 @Yuriy_but 2 #3 @PabitraDas 1 #4 @SagarKanani 1 #4 @Scharan 1 #5 @bingo 1 #5 @rblough 1 Most Viewed Community Articles Rank Topic Author
We are pleased to announce the release of Cloudera JDBC 2.6.11 driver for Apache Hive The release has the following fixes and enhancements: Enhancements and New FeaturesThe driver now supports CDP 7.0 Resolved Issues [00222028][HIVEJ-610] Queries with a UNION clause are replaced with a UNION ALL clause. Known Issues The following are known issues that you may encounter due to limitations in the data source, the driver, or an application. [HIVEJ-577] The JDBC 4.0 version of the driver fails to connect to servers that require encryption using TLS 1.1 or later. When you attempt to connect to the server, the connection fails and the driver returns an SSL handshake exception. This issue occurs only when you run the driver using Java Runtime Environment (JRE) 6.0. As a workaround, run the driver using JRE 7.0 or 8.0. Workflow ChangesSee the Release Notes for the full list of upcoming workflow changes that may disrupt the established
Summary:With the recent launch of CDP Private Cloud for on-premises deployments, we have renamed CDP Data Center to CDP Private Cloud Base (‘CDP PvC Base’). Additionally, we’ve released two minor updates, versions 7.1.2 and 7.1.3. Let’s talk through these changes. Details:CDP Private Cloud consists of CDP PvC Base and CDP PvC Experiences, which host the decoupled storage and compute layers respectively. Additionally, CDP PvC Base also hosts Data Hub services for traditional workloads. CDP PvC Base continues to be the unified platform for CDH and HDP customers to migrate their on-premises workloads to CDP. Learn more about CDP Private Cloud here. Key features and improvements available with CDP PvC Base 7.1.3 include:General availability of Ozone Object Store. This introduces vastly improved storage scaling capabilities over HDFS, addressing performance degradation and fsimage corruption issues, enhanced compatibility, and suppor
We are happy to announce General Availability of CDS 3.0 Powered By Apache Spark 3.0.1. You can download the parcel and apply it directly to provisioned clusters without disrupting your currently running Spark workloads, while taking advantage of all new features and benefits that come with Spark 3.0. This component is generally available and is supported on CDP Private Cloud Base clusters running version 7.1.3 and above. What's New in CDS 3.0? Support of JDK11, Scala 2.12, Python 3.4+ (Python 2.7+ deprecated)Adaptive execution of Spark SQLDynamic Partition PruningBinary files data sourceDataSource V2 Improvements (Pluggable catalog integration)Structured Streaming UIAuto discover and schedule tasks on nodes with GPUs on a YARN clusterKafka connector delegation token (0.10+) See documentation for details and installation. --------------Want to become a pro Spark user? Sign up for Apache Spark Training.
We are pleased to announce the release of Cloudera JDBC 2.6.18 driver for Apache Impala. The release has the following enhancements and fixes: Enhancements and New Features [IMPJ-561] The driver now supports Java 11. [IMPJ-566][IMPJ-580] Updated third-party libraries The JDBC 4.2 driver has been updated to use the following libraries: - log4j 2.13.3 - slf4j 1.7.30The JDBC 4.0 and 4.1 versions of the driver continue to use the previous versions of these libraries.[00221973][IMPJ-569] The driver now supports the values set via the Statement.setFetchSize API call. Resolved Issues[00195066][IMPJ-562] The driver converts UPSERT-SELECT to INSERT-SELECT.[00200861][IMPJ-568] When Impala analytic functions are used, the driver does not honor upper-case column aliases.[00206440][IMPJ-576][IMPJ-574] The driver logs incorrect socket timeout values.[00206060][IMPJ-578] When the UseNativeQuery property is set to 1 and there is a space between "com
Here are some highlights from the month of August on the Cloudera Community. Community Activity: 253 new support questions 13 new community articles 730+ new members Top Tag Views: Hive Data Ingestion & Streaming Data Processing Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of August to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @stevenmatison 7 #1 @GangWar@GangWar 4 #2 @SagarKanani 4 #2 @DennisJaheruddi 3 #3 @ashish_inamdar 2 #3 @paras 3 #4 @TR7_BRYLE 2 #4 @asish 1 #5 @Shelton 2 #5 @DigitalPlumber 2 Most Viewed Community Articles Rank Topic Author #1 How
Cloudera Data Engineering is an integrated, purpose-built experience for data engineers. It delivers a streamlined service for scheduling, monitoring, debugging, and promoting data pipelines quickly & securely across the enterprise at scale. The key to the experience is a centralized interface that simplifies the job management life cycle from scheduling, deploying, monitoring, debugging, and promotion which alleviate many of the challenges with running Spark jobs in production at scale. Similar to CML and CDW, CDE is cloud native leveraging Kubernetes where Platform admins can quickly provision virtual compute clusters with strong isolation, capacity auto-scaling and quotas for cost management. For Platform Admins: Managed Spark Service running on Kubernetes with mixed-version spark deployments accelerating DE workflows with zero setup. One click provisioning of new workloads with guardrails for CPU and Memory. Data Governance and management throu
We are pleased to announce the release of the Cloudera ODBC 2.6.9 Driver for Apache Hive. The release has the following resolved issue. Enhancements and New Features[00211293][HAR-1156] Updated HiveServer2 connection The driver now supports the Active Passive HS2 Interactive HA mode. For more information, see the Installation and Configuration Guide. [HAR-1080] macOS X notarization The driver now supports notarization on macOS versions 10.14.6 and later.[HAR-1144] CDH 6.3 support The driver now supports CDH 6.3. [HAR-1154] CDP 7.0 support The driver now supports CDP 7.0.Resolved Issues[00147018][HAR-1053] On AIX, when using a different OpenSSL version, the driver terminates unexpectedly. [00220828][HAR-1158] When the SQLBindCol property is called with a NULL pointer, the driver throws an error. [HAR-1045] In some cases, when attempting to continue an interrupted fetch operation after losing contact with the server, the driver might return result sets with missi
We are pleased to announce the release of Cloudera ODBC 2.6.11 driver for Apache Impala. The release has the following enhancements and fixes: Enhancements and New Features[IMP-659][00143882] Support for DML result set count The driver now reports the correct row count for DML results in server versions that return the correct row count information. Previously, the driver returned "-1". [IMP-783] Server-side properties configuration You can now configure server-side properties as driver-wide properties via the registry or the.impalaodbc.ini file. [IMP-786] Support for CDP 7.0 The driver now supports CDP 7.0. Resolved Issues [IMP-662] [00173663] When an incorrect user ID or password is entered in SASL, the driver returns the error message "Error from the Impala Thrift API: No more data to read." This issue has been resolved. The driver now returns a more detailed error message. [IMP-691][00146553] The driver returns string data untruncated regardless
Here are some highlights from the month of July on the Cloudera Community. Community Activity: 332 new support questions 18 new community articles 890+ new members Top Label Views: Apache Hive Apache NiFi Apache Hadoop Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of July to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @Shelton 6 #1 @GangWar 6 #2 @SagarKanani 5 #2 @MattWho 6 #3 @Stephbat 2 #3 @aakulov 4 #4 @getschwifty 2 #4 @paras 4 #5 @EagerBeaver 2 #5 @StevenOD 2 Most Viewed Community Articles Rank Topic Author #1 How to choos
Greetings All, Cloudera has a new tutorial out now showing how to build a data flow using Apache NiFi to extract data from an external relational database, store that data in a cloud vendor object storage service and then move the data into Hive tables in a Cloudera Data Warehouse, all on Cloudera Data Platform - Public Cloud. Along the way, readers will learn how to configure a secured data hub cluster to communicate with an Enterprise Database Management Server. Here's the link.
Here are some highlights from the month of June on the Cloudera Community. Community Activity: 399 new support questions 9 new community articles 950+ new members Top Tag Views: Hive Data Ingestion & Streaming Data Processing Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of June to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @stevenmatison 19 #1 @paras 3 #2 @hegdemahendra 7 #2 @GangWar 3 #3 @PVVK 2 #3 @aakulov 3 #4 @matagyula 2 #4 @dyadav1 3 #5 @Heri 2 #5 @satz 2 Most Viewed Community Articles Rank Topic Author #
Here are some highlights from the month of May on the Cloudera Community. Community Activity: 376 new support questions 22 new community articles 1000+ new members Top Label Views: Apache Hive Apache NiFi Apache Spark Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of May to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @stevenmatison 12 #1 @paras 7 #2 @rachid-berkane 4 #2 @Tim Armstrong 3 #3 @Gophalr 2 #3 @StevenOD 3 #4 @Mondi 1 #4 @amekala 2 #5 @vincentD 1 #5 @EricL 2 Most Viewed Community Articles Rank Topic Author #1 How-to: Conne
The 2020 Data Impact Award Nominations – Open Now! We are accepting nominations for The 2020 Data Impact Award. This annual program recognizes the best of the best organizations: leaders of industry and creators of innovative solutions leveraging the Cloudera platform. We showcase the impact our customers projects have within their organization, on their business’ bottom line, and on the world. The 2020 Data Impact Awards recognize organizations’ achievements with the Cloudera platform across seven categories. The winning organizations implementations demonstrate outstanding objectives in their mission, technical advancements and overall impact. Showcase your success with data and nominate now! The winners for the Data Impact Awards are determined by a panel of thought leaders in the data management and analytics space. Cloudera does not select or influence the selection of winners. Nominees must be on the Cloudera platform running in a production env
We're pleased to announce the release of Cloudera Data Center (DC) 7.1. CDH and HDP customers are encouraged to upgrade to CDP DC 7.1 for improved enterprise data management capabilities and new platform innovations. This release offers both CDH and HDP customers an upgrade path to CDP DC (and to CDP Private Cloud when available) and brings Cloudera Runtime 7.1, the best of CDH and HDP to our on-premise customer base. Key features and improvements available in DC 7.1 include: Streams Messaging: Complete and comprehensive Kafka streaming experience improving operational efficiency, business continuity and scalability. Data Engineering: Improved performance and interoperability for Apache Spark and management of data engineering workflows and pipeline creation. Data Warehouse: Faster SQL analytics on larger data sets, deeper understanding from unstructured data sources, and easier visualizations of business insights. Machine Learning: Dat
Here are some highlights from the month of April on the Cloudera Community. Community Activity: 474 new support questions 16 new community articles 1200+ new members Top Tag Views: Hive Data Processing Data Ingestion & Streaming Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of April to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @stevenmatison 14 #1 @Bender 7 #2 @murali2425 2 #2 @StevenOD 7 #3 @bhara 1 #3 @jsensharma 7 #4 @akv31 1 #4 @MattWho 6 #5 @ForrestGump 1 #5 @aakulov 5 Most Viewed Community Articles Rank Topic Author #1 Kub
We are pleased to announce the release of Cloudera JDBC 2.6.17 driver for Apache Impala. The release has the following enhancements and fixes: Enhancements and New Features[IMPJ-547] The driver now supports CDH versions 5.11 through 5.16 and 6.0 through 6.3.[IMPJ-493] The driver now uses version 2.10.1 of the Jackson library. Previously, the driver used Jackson version 2.9.9. Resolved Issues[00147825][IMPJ-516] The driver does not generate the correct syntax for character parameters in prepared statements if the length of the parameter value is greater than 510.[00147114][IMPJ-512] getParameterMetaData() returns VARCHAR for all parameters.[00147464][IMPJ-514] When you use the com.cloudera.impala.jdbc.DataSource class to connect with the JDBC 4.1 or 4.2 version of the driver, the driver returns a class cast exception.[IMPJ-520] The JDBC 4.1 version of the driver fails to connect to servers that require encryption using TLS 1.2. This issue has been resolved. However
Here are some highlights from the month of March on the Cloudera Community. Community Activity: 488 new support questions 10 new community articles 1200+ new members Top Label Views: Apache Hive Apache Spark Apache NiFi Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of March to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @stevenmatison 9 #1 @MattWho 17 #2 @SwasBigData 3 #2 @StevenOD 11 #3 @HadoopHelp 2 #3 @venkatsambath 10 #4 @Gubbi 2 #4 @GangWar 6 #5 @advincenting 2 #5 @jsensharma 3 Most Viewed Community Articles Rank Topic Author #1 Manually resetting offset for a Kafka to
We are pleased to announce the release of Cloudera JDBC 2.6.10 driver for Apache Hive The release has the following fixes and enhancements: Enhancements and New Features[00176863][HIVEJ-584] Updated Thrift library The JDBC 4.2 version of the driver now uses version 0.13.0 of the Thrift library. Previously, this version of the driver used Thrift version 0.12.0. The JDBC 4.0 and 4.1 versions of the driver continue to use Thrift version 0.12.0. [HIVEJ-575] Updated Jackson library The driver now uses version 2.10.1 of the Jackson library. Previously, the driver used Jackson version 2.9.9. Resolved Issues[HIVEJ-577] The JDBC 4.1 version of the driver fails to connect to servers that require encryption using TLS 1.2. [HIVEJ-578] When you invoke the JDBC 4.2 driver with the Datasource class, an exception occurs. [00176503][HIVEJ-583] When you use the driver with the Denodo application, it returns the following error: "Could not initialize Class". [HIVEJ-596
Here are some highlights from the month of February on the Cloudera Community. Community activity: 457 new support questions 4 new community articles 1200+ new members Top Tag Views: Hive Data Processing Data Ingestion & Streaming Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of February to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @thewayofthinkin 3 #1 @MattWho 14 #2 @stevenmatison 3 #2 @jsensharma 13 #3 @Seaport 2 #3 @venkatsambath 6 #4 @gdr 2 #4 @StevenOD 5 #5 @JTT 2 #5 @DennisJaheruddi 3 Most Viewed Community Articles
Greetings All, As of Monday, March 23 the following Cloudera certification exams will be available to schedule/attempt: CCA AdministratorCCA HDP AdministratorCCA Spark and Hadoop DeveloperCCA Data Analyst We've added a free video to help individuals acquaint themselves with the new exam environment. Additional information on what to expect in the exams is located on the individual test landing pages (provided above). This leaves CCP Data Engineer as the last of the legacy exams we need to release. We believe this will be released in the very near future. We understand the delay in relaunching our certification program may have impacted those who have been preparing for the exam. We regret the inconvenience caused. For those in possession of a certification voucher prior to October 18, 2019, we have extended the vouchers’s expiration date by six months. Candidates who attempt the exam and woul
Just Released: Cloudera AI Workbench With Support for CDP Data Center CDSW 1.7.2 is now available, bringing support for CLoudera Data Platform Data Center Edition 7.0 (CDP-DC) and improved usability for experiments and model deployment. CDSW on CDP-DC enables an improved best of breed data science platform experience for your data science teams on our latest enterprise data platform. Whether you’ve already begun to migrate to CDP Data Center or are just starting your journey to the cloud, CDSW on CDP-DC enables continuity in your data science experience and a more frictionless path to Cloudera Machine Learning (CML) — Our enterprise cloud-native data science and machine learning platform for CDP Private Cloud and Public Cloud. Support for virtual clusters in CDP Data Center Customers using CDP-DC as a stepping stone in their journey to Private Cloud can now reduce impact to other workflows and noisy neighbors by leveraging CDSW in isolated virtual clusters with assigned r
We are pleased to announce the release of Cloudera ODBC 2.6.9 driver for Apache Impala. The release has the following fixes and enhancements: Enhancements and New Features [IMP-704][00174819] Improved performance with multiple concurrent connections. The driver now retrieves data much faster in scenarios that involve multiple concurrent connections to the data store. This improves performance when working with applications such as Power BI. [IMP-696][IMP-708][IMP-722] Updated third-party libraries. The driver has been updated to use the following libraries: Boost 1.64.0 (previously 1.57.0) libcurl 7.66.0 (previously 7.60.0) Expat 2.2.9 (previously 2.2.0) OpenSSL 1.1.1d (previously 1.1.0j) Resolved Issues [IMP-699][00173163] In some cases, when the driver submits a query that contains a Boolean value expression, the driver returns an "Unsupported query" error. [IMP-724] The driver terminates unexpectedly when both of the following occur: Multiple d
Here are some highlights from the month of January on the Cloudera Community. Community activity: 406 new support questions 10 new community articles 977 new members Top Label views: Apache Hive Apache Spark Apache NiFi Top Solution Authors Links to the Top Solution Authors leaderboard as well as others can be found on our Leaderboards and Badges page. We would like to recognize the below community members and employees for their efforts over the month of January to provide community solutions. Rank Community Member Solutions Rank Employee Solutions #1 @Shelton 10 #1 @MattWho 7 #1 @stevenmatison 10 #2 @jsensharma 6 #2 @Manus 2 #3 @EricL 5 #3 @goga 2 #4 @DennisJaheruddi 3 #4 @svasi 1 #5 @StevenOD 2 Most Viewed Community Articles Rank Topic Author #1 Manually resettin
Announcing Cloudera Enterprise 6.3.3 We are pleased to announce the release of Cloudera Enterprise 6.3.3, the world’s leading data platform for machine learning and analytics, optimized for the cloud. This maintenance release includes all the features and capabilities of the previous minor release (Cloudera Enterprise 6.3) with the addition of numerous important bug fixes. Also note the current list of known issues with Cloudera Enterprise 6. We also encourage you to review the new Upgrade Guide that now includes the ability to create customized upgrade instructions based on your specific environment and upgrade path. New Features & Capabilities Cloudera Enterprise 6.3.3 now supports running on RedHat Enterprise Linux 7.7 and CentOS 7.7Cloudera Manager provides new tuning options to increase the scalability of monitoring services for large CDH deployments Important Note About Installation Beginning with Cloudera Manager 6.3.3 and CDH
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