Book

Learning Spark SQL

In the past year, Apache Spark has been increasingly adopted for development of distributed applications. Spark SQL APIs provides 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. Understanding the design and implementation best practices for Spark SQL API based applications before you start your project will help you avoid these problems and ensure that your project is a success. Learning Spark SQL gives an insight into the engineering practices used to design and build real-world Spark-based applications. The hands-on examples will give you the required confidence to work on any future projects you encounter in Spark SQL.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
15h4m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 15h4m total length

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

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