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Big Data Analytics

You're reading from Big Data Analytics Real time analytics using Apache Spark and Hadoop

Product type Paperback

Published in Sep 2016

Publisher Packt

ISBN-13 9781785884696

Length 326 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Big Data

Author (1):

Venkat Ankam

View More author details

Table of Contents (12) Chapters

Preface

1. Big Data Analytics at a 10,000-Foot View

2. Getting Started with Apache Hadoop and Apache Spark FREE CHAPTER

3. Deep Dive into Apache Spark

4. Big Data Analytics with Spark SQL, DataFrames, and Datasets

5. Real-Time Analytics with Spark Streaming and Structured Streaming

6. Notebooks and Dataflows with Spark and Hadoop

7. Machine Learning with Spark and Hadoop

8. Building Recommendation Systems with Spark and Mahout

9. Graph Analytics with GraphX

10. Interactive Analytics with SparkR

Index

Chapter 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets

As per the Spark Summit presentation by Matei Zaharia, creator of Apache Spark (http://www.slideshare.net/databricks/spark-summit-eu-2015-matei-zaharia-keynote), Spark SQL and DataFrames are the most used components of an entire Spark ecosystem. This indicates Spark SQL is one of the key components used for Big Data Analytics by companies.

Users of Spark have three different APIs to interact with distributed collections of data:

RDD API allows users to work with objects of their choice and express transformations as lambda functions
DataFrames API provides high-level relational operations and an optimized runtime, at the expense of type-safety
Dataset API that combines the worlds of RDD and DataFrames

We have learned how to use RDD API in Chapter 3, Deep Dive into Apache Spark. In this chapter, let's understand the in-depth concepts of Spark SQL including exploring the Data Sources API, the DataFrame API, the...

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Authors (1)

Venkat Ankam

Venkat Ankam

Venkat Ankam has over 18 years of IT experience and over 5 years in big data technologies, working with customers to design and develop scalable big data applications. Having worked with multiple clients globally, he has tremendous experience in big data analytics using Hadoop and Spark. He is a Cloudera Certified Hadoop Developer and Administrator and also a Databricks Certified Spark Developer. He is the founder and presenter of a few Hadoop and Spark meetup groups globally and loves to share knowledge with the community. Venkat has delivered hundreds of trainings, presentations, and white papers in the big data sphere. While this is his first attempt at writing a book, many more books are in the pipeline.

See other products by Venkat Ankam

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