This guide is intended for Hadoop IT administrators, Hadoop data developers, and ETL data engineers and data architects who are responsible for loading source data into Big Data Discovery.
The guide assumes that you are familiar with the Spark and Hadoop environment and services, and that you have already installed Big Data Discovery and used Studio for basic data exploration and analysis.
This guide is specifically targeted for Hadoop developers and administrators who want to know more about data processing steps in Big Data Discovery, and to understand what changes take place when these processes run in Spark.
The guide covers all aspects of data processing, from initial data discovery, sampling and data enrichments, to data transformations that can be launched at later stages of data analysis in BDD.