Szczegóły ebooka

Learning Spark SQL. Architect streaming analytics and machine learning solutions

Learning Spark SQL. Architect streaming analytics and machine learning solutions

Aurobindo Sarkar

Ebook
In the past year, Apache Spark has been increasingly adopted for the development of distributed applications. Spark SQL APIs provide an optimized interface that helps developers build such applications quickly and easily. However, designing web-scale production applications using Spark SQL APIs can be a complex task. Hence, understanding the design and implementation best practices before you start your project will help you avoid these problems.
This book gives an insight into the engineering practices used to design and build real-world, Spark-based applications. The book's hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL.
It starts by familiarizing you with data exploration and data munging tasks using Spark SQL and Scala. Extensive code examples will help you understand the methods used to implement typical use-cases for various types of applications. You will get a walkthrough of the key concepts and terms that are common to streaming, machine learning, and graph applications. You will also learn key performance-tuning details including Cost Based Optimization (Spark 2.2) in Spark SQL applications. Finally, you will move on to learning how such systems are architected and deployed for a successful delivery of your project.
  • 1. Getting started with Spark SQL
  • 2. Using Spark SQL for Processing Structured and Semi-Structured Data
  • 3. Using Spark SQL for Data Exploration
  • 4. Using Spark SQL for Data Munging
  • 5. Using Spark SQL in Streaming Applications
  • 6. Using Spark SQL in Machine Learning Applications
  • 7. Using Spark SQL in Graph Applications
  • 8. Using Spark SQL with SparkR
  • 9. Developing Applications with Spark SQL
  • 10. Using Spark SQL in Deep Learning Applications
  • 11. Tuning Spark SQL Components for performance
  • 12. Spark SQL in Large-Scale Application Architectures
  • Tytuł: Learning Spark SQL. Architect streaming analytics and machine learning solutions
  • Autor: Aurobindo Sarkar
  • Tytuł oryginału: Learning Spark SQL. Architect streaming analytics and machine learning solutions
  • ISBN: 9781785887352, 9781785887352
  • Data wydania: 2017-09-07
  • Format: Ebook
  • Identyfikator pozycji: e_15p5
  • Wydawca: Packt Publishing