Data Engineering Integration (Big Data Management) delivers high-throughput data ingestion and data integration processing so business analysts can get the data they need quickly. Hundreds of prebuilt, high-performance connectors, data integration transformations, and parsers enable virtually any type of data to be quickly ingested and processed on big data infrastructures, such as Apache Hadoop, NoSQL, and MPP appliances. Beyond prebuilt components and automation, Informatica provides dynamic mappings, dynamic schema support, and parameterization for programmatic and templatized automation of data integration processes.
The Beginner Level of learning path will enable you to understand DEI fundamentals. It constitutes of videos, webinars, and other documents on introduction to DEI, DEI architecture, Blaze architecture, use cases on Azure, Amazon cloud and many other ecosystems, integration with AWS and many more.
After you have successfully completed finish all the three levels of DEI product learning, you will earn an Informatica Badge for Data Engineering Integration (Big Data Management). So start your product learning right away and earn your badge!
This module covered an introduction to DEI, which consisted of a short overview of Big Data Management and getting started with DEI and discussed various functionalities of Big Data.
This module also discussed how to redeploy PowerCenter applications and mappings into the Big Data world, setting up and configuring the Spark Engine, Blaze configuration, how to collect logs and what are the locations for the blazed log, common issues and how to troubleshoot them, offering advanced Spark functionality, solution overview, themes, drivers and new use cases for BDS 10.2.2, Stream processing and analytics.
You also explored how to handle DEI on Microsoft Azure, DEI on Amazon Cloud, DEI on Cloudera Altus, DEI on MapR. You also got an insight of operational insights and goals, workspaces, Informatica Azure Databricks Support, how to create ClusterConfigObject (CCO), Cluster provisioning Configuration, Databricks Connection and DEI's capabilities to integrate with AWS ecosystem.
Now move on to the next "Intermediate level" for your DEI onboarding and get to know more about the product.