Qlik Data Integration April 2020 Product Release

We are excited to announce our first synchronized release of Qlik’s Data Integration Platform products – all branded under the Qlik Data Integration Platform. This release includes many new enhancements that continue to streamline the process of providing analytics-ready data for faster business insights.

To begin, we have released the former Attunity Product Suite Version 6.6, now labeled the Qlik Data Integration Platform April 2020 product release. Included in this release is:

Kicking off the updates ring, Qlik Enterprise Manager April 2020 (formerly Attunity Enterprise Manager – AEM version 6.6) introduces support for Windows Server 2019 – which delivers high-value options for our customers based on industry standards. Also, we have added the convenience of SAML Single Sign-On authentication, which has been tested with both OKTA and Azure AD.

Qlik Replicate April 2020 (formerly Attunity Replicate version 6.6) brings a host of new features sure to extend the value of your investment in Qlik’s Data Integration Platform (or bring new reasons to expand deployment). This release delivers different methods of authentication to support the matrix alignment with industry standards and customer demands, providing further confidence that their data is secure, which is critical in providing DataOps for analytics. Examples of this are new authentication types for Kafka and Confluent Cloud targets, and connectivity via a proxy and authentication via Azure AD account on Windows. Also, we have added updates to further support operating system source and target endpoint versions to align with industry and customer demand. Examples of these new endpoints are SQL Server 2019, Oracle 19 and PostgreSQL as well as version updates for AWS RDS Oracle and Cloudera. Take Qlik Replicate for a test drive!

We have also made significant enhancements to existing endpoints such as Snowflake, MS SQL, SAP HANA, Google Big Query, and mainframes. Beyond that, we added many new high demand endpoints, such as Databricks on AWS, Oracle Cloud Autonomous DW target, DB2 LUW pure Scale source, and AWS Aurora PostgreSQL source

Qlik Compose for Data Lakes April 2020 (formerly Attunity Compose for Data Lakes version 6.6) delivers new ease-of-use and streamlined processes for eliminating the need to validate the configuration design at every step, further accelerating the pipeline design and setup phase, while improving performance. This release also includes new and updated certifications for existing platforms including Databricks 6.3, Dataproc 1.4, and Amazon EMR 5.29. With the new certification for Amazon EMR, we now provide customers the flexibility to either use Hive Metastore or AWS Glue Data Catalog to store metadata. Finally, this release is also available on Windows Server 2019.

We don’t stop there, as Qlik Compose for Data Warehouses April 2020 (formerly Attunity Compose for Data Warehouses version 6.6) contains several new capabilities around CSV support and certified platforms. Now Qlik Compose for Data Warehouses can export/import mappings from CSV files which provides more flexibility, productivity, and usability when working on projects. For example, when applying bulk changes to a project, such as adding a new column to multiple tables, mappings can be imported from a file instead of being manually defined via the GUI. Also, we have added new version certifications for new data warehouse platform targets, such as Oracle 19, SQL Server 2019, and Azure Synapse. And finally, the Qlik Compose for Data Warehouses is now certified on Windows Server 2019.

The Qlik Data Catalyst April 2020 release includes new high-value capabilities including expanded interaction with the Qlik Analytics Platform. Qlik Data Catalyst already had the ability to onboard QVD files into its searchable catalog with the ability to profile and tag data elements within a QVD file. Now, Qlik Data Catalyst includes the ability to take any dataset and publish it as a new QVD file. This capability means that any Qlik Sense or QlikView customer now has an additional method to create QVD files. Also, supporting the recent announcement around Qlik’s Analytics Modernization Program, Qlik Data Catalyst can now migrate on-premise QVD files and other data files to the Qlik’ cloud environment. This can help QlikView customers accelerate their migration to the Qlik Sense Enterprise SaaS offering. This release also includes other enhancements like improved XML Processing, ADLS support, and table meter support for subscription compliance needs. These are significant advancements for bridging Qlik’s Data Integration Platform with Qlik’s Analytics offering, delivering high-value capabilities to help accelerate business value from raw data to important business insights.

Learn more and join the Qlik Data Integration Product Forums in Qlik Community!

Learn about the first synchronized release of Qlik’s #DataIntegration Platform products. Read @danpottertweets latest blog post.

 

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