In today's time, data with value is branched off into numerous databases across multiple companies. The challenge is bringing the data together. Integrating Hadoop shows how Hadoop is used to collect and load the data on physical devices and the cloud.

The book begins with an introduction of Hadoop and the types of data fit for it. Next, it focuses on assembling the integration team and gives an overview of workloads in the organization. You will also identify data sources for Hadoop, such as No SQL Databases and Legacy/Relational Databases, distinguish between ETL and ELT, and learn how to load and unload data into Hadoop. You will also practice managing big data using methods such as Upserts and Use HBase, and discover the advantages of real-time computing and the basic structure of streaming data architecture. Finally, you will interact with the master data of an organization and learn the top 10 mistakes people commit while integrating Hadoop data and how to avoid them.

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