Using the Blaze Engine to Run Profiles and Scorecards

Using the Blaze Engine to Run Profiles and Scorecards

Blaze Engine Overview

Blaze Engine Overview

You can use the Blaze engine to run profiles or scorecards on data sources with large volume of data, on a variety of data sources, and on Big data. The Blaze engine increases performance and scalability of the Hadoop cluster.
The Blaze engine is a part of Informatica Big Data Management. After you download and install Informatica Big Data Management, you can use the Blaze engine to run profiles and scorecards in Informatica Developer and Informatica Analyst.
The Blaze engine is built using a memory-based data exchange framework which runs natively on YARN without the dependence of MapReduce or Hive. The Blaze distributed processing engine has the ability to scale and perform high-speed data processing of large complex batch workloads using a natively-embedded Informatica data transformation engine on Hadoop. The profiles and scorecards are processed faster and the results are retrieved quickly from the cluster.
To run a profile or scorecard on the Blaze engine, the Data Integration Service submits jobs to the Blaze engine executor. The Blaze engine executor is a software component that enables communication between the Data Integration Service and the Blaze engine components on the Hadoop cluster. You can create the Hadoop connections using the Developer tool, Administrator tool, and infacmd.
You can use the Blaze engine to run column profiles and enterprise discovery profiles in the Developer tool. You can use the Blaze engine to run column profiles, enterprise discovery profiles, and scorecards in the Analyst tool.

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