Hadoop application architecture

by Mark Grover

Hadoop application architectureBuilding a comprehensive data management solution with Apache Hadoop This book provides expert advice on building a comprehensive data management solution with Apache Hadoop. It explains how to use various sources of the various elements of the Hadoop ecosystem and examines the architectural requirements to be considered in order to harmoniously integrate the elements into the finished application from the individual situation of the reader. At the same time. A wealth of examples of the most commonly used architectures in Hadoop applications are presented. If you are planning to design a Hadoop application or plan to integrate Hadoop into your existing data infrastructure, it would be a good idea to follow the technical guidance in this book, which consists Modeling Considerations Data Processing Framework including Maple Deuce, Spark, and Hive - Duplicate Record Removal, Windowing Analysis Workflow orchestration and scheduling tools such as Apache Wojcie Workflow orchestration and scheduling tools like Apache Wojcie - Real-time stream processing using Apache plume - Clickstream analysis, fraud detection, data warehouse Architecture example of a house

Paperback

Published May 30, 2016