Re-architect relational applications to NoSQL integrate relational database management systems
with the Hadoop ecosystem and transform and migrate relational data to and from Hadoop
components. This book covers the best-practice design approaches to re-architecting your
relational applications and transforming your relational data to optimize concurrency security
denormalization and performance. Winner of IBM's 2012 Gerstner Award for his implementation of
big data and data warehouse initiatives and author of Practical Hadoop Security author Bhushan
Lakhe walks you through the entire transition process. First he lays out the criteria for
deciding what blend of re-architecting migration and integration between RDBMS and HDFS best
meets your transition objectives. Then he demonstrates how to design your transition model.
Lakhe proceeds to cover the selection criteria for ETL tools the implementation steps for
migration with SQOOP- and Flume-based data transfers and transition optimization techniques
for tuning partitions scheduling aggregations and redesigning ETL. Finally he assesses the
pros and cons of data lakes and Lambda architecture as integrative solutions and illustrates
their implementation with real-world case studies. Hadoop NoSQL solutions do not offer by
default certain relational technology features such as role-based access control locking for
concurrent updates and various tools for measuring and enhancing performance. Practical Hadoop
Migration shows how to use open-source tools to emulate such relational functionalities in
Hadoop ecosystem components. What You'll Learn Decide whether you should migrate your
relational applications to big data technologies or integrate them Transition your relational
applications to Hadoop NoSQL platforms in terms of logical design andphysical implementation
Discover RDBMS-to-HDFS integration data transformation and optimization techniques Consider
when to use Lambda architecture and data lake solutions Select and implement Hadoop-based
components and applications to speed transition optimize integrated performance and emulate
relational functionalities Who This Book Is For Database developers database administrators
enterprise architects Hadoop NoSQL developers and IT leaders. Its secondary readership is
project and program managers and advanced students of database and management information
systems.
