Data Engineering Integration : 2019 : October Skip navigation

What are we announcing?

Informatica 10.2.2 HotFix 1 Service Pack 2


Who would benefit from this release?

This release is for all Big Data customers and prospects who want to take advantage of updated Hadoop distribution support as well as fixes to the core platform, connectivity, and other functionality. You can apply this service pack after you install or upgrade to Informatica 10.2.2 HotFix 1. If you are already on 10.2.2 HotFix1 Service Pack 1, this 10.2.2 HotFix 1 Service Pack 2 can be installed directly.


What’s in this release?

Big Data PAM

Distribution Support:

  • Cloudera CDH: 6.2, 6.1, 5.16, 5.15, 5.14, 5.13
  • Hortonworks HDP: 2.6.x, 3.1.x
  • MapR: 6.0.1 with MEP 5.0, 6.1 with MEP 6.0
  • Azure HDInsight: 3.6.x WASB, ADLS Gen1, ADLS Gen2
  • Amazon EMR: 5.16.x, 5.20
  • Google Cloud Dataproc 1.3
  • Databricks 5.1, 5.3
  • WANdisco enabled CDH 5.16 and HDP 2.6.5 on RH7

Big Data Streaming

  • Support for latest Cloudera, Hortonworks, MapR, HDInsight and EMR versions
  • Bug fixes and improvements

Enterprise Data Catalog

  • This update provides bug fixes for functional and performance improvements. Informatica recommends that Enterprise Data Catalog customers on 10.2.2 HotFix 1 / 10.2.2 HotFix 1 Service Pack 1 apply this service pack.

Enterprise Data Preparation

  • Functional and performance improvements
  • EDP now supports WANdisco enabled HDP 2.6.5 on RH


Release Notes & Product Availability Matrix (PAM)

The Informatica Global Customer Support Team is excited to announce an all-new technical webinar and demo series – Meet the Experts, in partnership with our technical product experts and Product management. These technical sessions are designed to encourage interaction and knowledge gathering around some of our latest innovations and capabilities across Data Integration, Data Quality, Big Data and so on. In these sessions, we will strive to provide you with as many technical details as possible, including new features and functionalities, and where relevant, show you a demo or product walk-through as well.


Topic and Agenda


  • Topic: Meet the Experts Webinar - "End-to-End Data Engineering for AI & Analytics on Microsoft Azure"
  • Date: Wednesday, 23 October 2019
  • Time: 9:00 AM Pacific Daylight Time (PDT)
  • Duration: 1 Hour
  • Webinar Registration Link: Webinars – Webcasts | Informatica Talks | Informatica
  • Speakers:
    • Sumeet Agrawal, Product Management, Informatica 
    • Vamshi Sriperumbudur, Product Marketing, Informatica


Successful next-generation AI and analytics projects require you to ingest, process, and govern all types of data at all latencies. It can be a challenge—but it doesn't have to be.


Our complimentary webinar, "End-to-End Data Engineering for AI & Analytics on Microsoft Azure," shows you how Informatica's Data Engineering portfolio can help you ingest all types of data into the Azure Data Lake Store (ADLS), batched or in real-time. You will learn about:


  • Building data pipelines to feed ADLS with data engineering integration in a Spark serverless mode
  • Leveraging Spark Structured Streaming for real-time analytics that extend to the edge
  • Finding, preparing, and operationalizing trusted data with Informatica Enterprise Data Preparation
  • Performing powerful search, data lineage, and impact analysis with Enterprise Data Catalog


Whether you've just started to consider Azure for analytics and AI or you're already using it, you won't want to miss this webinar and demo.

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