Practical Hadoop Migration : How to Integrate Your RDBMS with the Hadoop Ecosystem and Re Architect Relational Applications to NoSQL 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 Youll 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 and physical 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. Chapter 1: RDBMS Meets Hadoop: Integrating Re Architecting and Transitioning Part I: Relational Database Management Systems: A Review of Design Principles Models and Best Practices Chapter 2: Understanding RDBMS Design Principles Chapter 3: Using SSADM for Relational Design Chapter 4: RDBMS Design and Implementation Tools. Part II: Hadoop: A Review of the Hadoop Ecosystem NoSQL Design Principles and Best Practices Chapter 5: The Hadoop Ecosystem Chapter 6: Re Architecting for NoSQL Design Principles Models and Best Practices. Part III: Integrating Relational Database Management Systems with the Hadoop Distributed File System Chapter 7: Data Lake Integration Design Principles Chapter 8: Implementing SQOOP and Flume based Data Transfers. Part IV: Transitioning from Relational to NoSQL Design Models Chapter 9: Lambda Architecture for Real time Hadoop Applications Chapter 10: Implementing and Optimizing the Transition Part V: Case Study for Designing and Implementing a Hadoop based Solution Chapter 11: Case Study: Implementing Lambda Architecture.