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Learning Apache Spark 2

You're reading from Learning Apache Spark 2 A beginner's guide to real-time Big Data processing using the Apache Spark framework

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781785885136

Length 356 pages

Edition 1st Edition

Languages

Python

Tools

Apache Spark

Concepts

Big Data

Author (1):

Abbasi

View More author details

Table of Contents (18) Chapters

Learning Apache Spark 2

Credits

About the Author

About the Reviewers

www.packtpub.com

Customer Feedback

Preface

1. Architecture and Installation FREE CHAPTER

2. Transformations and Actions with Spark RDDs

3. ETL with Spark

4. Spark SQL

5. Spark Streaming

6. Machine Learning with Spark

7. GraphX

8. Operating in Clustered Mode

9. Building a Recommendation System

10. Customer Churn Prediction

1. Theres More with Spark

Structured Data sources and Databases

Spark works with a variety of structured data sources including, but not limited to, the following:

Parquet Files: Apache Parquet is a columnar storage format. More details about the structure of Parquet and how spark makes use of it is available in the Spark SQL chapter.
Hive tables.
JDBC: Spark allows the use of JDBC to connect to a wide variety of databases. Of course the data access via JDBC is relatively slow compared to native database utilities.

We'll cover most of the structured sources in Chapter 4, Spark SQL later in this book.

Working with NoSQL Databases

A NoSQL (originally referring to non SQL, non relational or not only SQL) database provides a mechanism for storage (https://en.wikipedia.org/wiki/Computer_data_storage) and retrieval (https://en.wikipedia.org/wiki/Data_retrieval) of data which is modeled in means other than the tabular relations used in Relational databases (https://en.wikipedia.org/wiki/Relational_database). NoSQL is a relatively...

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Authors (1)

Abbasi

Abbasi

Muhammad Asif Abbasi has worked in the industry for over 15 years in a variety of roles from engineering solutions to selling solutions and everything in between. Asif is currently working with SAS a market leader in Analytic Solutions as a Principal Business Solutions Manager for the Global Technologies Practice. Based in London, Asif has vast experience in consulting for major organizations and industries across the globe, and running proof-of-concepts across various industries including but not limited to telecommunications, manufacturing, retail, finance, services, utilities and government. Asif is an Oracle Certified Java EE 5 Enterprise architect, Teradata Certified Master, PMP, Hortonworks Hadoop Certified developer, and administrator. Asif also holds a Master's degree in Computer Science and Business Administration.

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