July 9, 2019 By Kiran Guduguntla < 1 min read

We’d like to inform you about the deprecation of IBM Analytics Engine (AE) v1.1. The AE 1.1 software packages will be retired on Aug 30, 2019.

IBM Analytics Engine, built on separate integration points and compute and storage architecture, incorporates Hortonworks Data Platform and Apache Spark. The latest version of Analytics Engine v1.2—which is built on Hortonworks Data Platform v3.1 (HDP)—was released on May 15, 2019. With this new version, almost all the components of HDP have been upgraded.

Here’s what you need to know

Service Changes Announce Date: July 9, 2019

 

Deprecation Date for Analytics Engine 1.1: August 30, 2019

  • Starting August 30, 2019, new clusters with AE 1.1 packages cannot be provisioned.
  • New nodes cannot be added to existing AE 1.1 clusters.
  • However, existing AE 1.1 instances will continue to be supported until December 31, 2019.

End of Support Date for Analytics Engine 1.1: December 31, 2019

  • Any instance of AE 1.1 still provisioned as of the End of Support Date will be deleted.
  • Please delete your AE 1.1 service instances before the End of Support Date (i.e., Dec 31, 2019).

We strongly recommend that you move your applications to the latest version of IBM Analytics Engine 1.2 in order to get access to the latest versions of Apache Spark and Apache Hadoop ecosystem components.

More from Analytics

IBM acquires StreamSets, a leading real-time data integration company

3 min read - We are thrilled to announce that IBM has acquired StreamSets, a real-time data integration company specializing in streaming structured, unstructured and semistructured data across hybrid multicloud environments. Acquired from Software AG along with webMethods, this strategic acquisition expands IBM's already robust data integration capabilities, helping to solidify our position as a leader in the data integration market and enhancing IBM Data Fabric’s delivery of secure, high-quality data for artificial intelligence (AI).  According to a Forrester study conducted on behalf of…

Fine-tune your data lineage tracking with descriptive lineage

4 min read - Data lineage is the discipline of understanding how data flows through your organization: where it comes from, where it goes, and what happens to it along the way. Often used in support of regulatory compliance, data governance and technical impact analysis, data lineage answers these questions and more.  Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to…

Reimagine data sharing with IBM Data Product Hub

3 min read - We are excited to announce the launch of IBM® Data Product Hub, a modern data sharing solution designed to accelerate data-driven outcomes across your organization. Today, we're making this product generally available to our clients across the world, following its announcement at the IBM Think conference in May 2024. Data sharing has become the lifeblood of modern organizations, fueling growth and driving innovation. But traditional approaches to data sharing can often be a bottleneck constricting the seamless sharing of data.…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters