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Learning Spark SQL

You're reading from  Learning Spark SQL

Product type Book
Published in Sep 2017
Publisher Packt
ISBN-13 9781785888359
Pages 452 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Aurobindo Sarkar Aurobindo Sarkar
Profile icon Aurobindo Sarkar
LinkedIn
See other products by Aurobindo Sarkar

Table of Contents (19) Chapters

Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Getting Started with Spark SQL 2. Using Spark SQL for Processing Structured and Semistructured 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

Understanding the Lambda architecture

The Lambda architectural pattern attempts to combine the best of worlds--batch processing and stream processing. This pattern consists of several layers: Batch Layer (ingests and processes data on persistent storage such as HDFS and S3), Speed Layer (ingests processes streaming data that has not been processed by the Batch Layer yet), and the Serving Layer (combines outputs from the Batch and Speed Layers to present merged results). This is a popular architecture in Spark environments because it can support both the Batch and Speed Layer implementations with minimal code differences between the two.

The given figure depicts the Lambda architecture as a combination of batch processing and stream processing:

The next figure an implementation the Lambda architecture AWS services (Amazon Kinesis, Amazon S3 Storage, Amazon EMR, Amazon DynamoDB, and so on) and Spark:

Note

For more details on the AWS implementation Lambda architecture, refer to https:/...

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Authors (1)

Profile icon Aurobindo Sarkar
LinkedIn
See other products by Aurobindo Sarkar

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