Build reliable, robust, and high-performance big data applications using the Cascading application development efficiently
This book is intended for software developers, system architects and analysts, big data project managers, and data scientists who wish to deploy big data solutions using the Cascading framework. You must have a basic understanding of the big data paradigm and should be familiar with Java development techniques.
Cascading is open source software that is used to create and execute complex data processing workflows on big data clusters. The book starts by explaining how Cascading relates to core big data technologies such as Hadoop MapReduce. Having instilled an understanding of the technology, the book provides a comprehensive introduction to the Cascading paradigm and its components using code examples. You will not only learn more advanced Cascading features, you will also write code to utilize them. Furthermore, you will gain in-depth knowledge of how to efficiently optimize a Cascading application. To deepen your knowledge and experience with Cascading, you will work through a real-life case study using Natural Language Processing to perform text analysis and search on large volumes of unstructured text. Throughout the book, you will receive expert advice on how to use the portions of the product that are undocumented or have limited documentation. By the end of the book, you will be able to build practical Cascading applications.
Chapter 1. The Big Data Core Technology Stack
Chapter 2. Cascading Basics in Detail
Chapter 3. Understanding Custom Operations
Chapter 4. Creating Custom Operations
Chapter 5. Code Reuse and Integration
Chapter 6. Testing a Cascading Application
Chapter 7. Optimizing the Performance of a Cascading Application
Chapter 8. Creating a Real-world Application in Cascading
Chapter 9. Planning for Future Growth
