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You're reading from  Apache Spark Quick Start Guide

Product typeBook
Published inJan 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789349108
Edition1st Edition
Languages
Scala
Tools
Apache Spark
Concepts
Data Analysis
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Authors (2):
Shrey Mehrotra
Shrey Mehrotra
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Shrey Mehrotra

Shrey Mehrotra has over 8 years of IT experience and, for the past 6 years, has been designing the architecture of cloud and big-data solutions for the finance, media, and governance sectors. Having worked on research and development with big-data labs and been part of Risk Technologies, he has gained insights into Hadoop, with a focus on Spark, HBase, and Hive. His technical strengths also include Elasticsearch, Kafka, Java, YARN, Sqoop, and Flume. He likes spending time performing research and development on different big-data technologies. He is the coauthor of the books Learning YARN and Hive Cookbook, a certified Hadoop developer, and he has also written various technical papers.
Read more about Shrey Mehrotra

Akash Grade
Akash Grade
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Akash Grade

Akash Grade is a data engineer living in New Delhi, India. Akash graduated with a BSc in computer science from the University of Delhi in 2011, and later earned an MSc in software engineering from BITS Pilani. He spends most of his time designing highly scalable data pipeline using big-data solutions such as Apache Spark, Hive, and Kafka. Akash is also a Databricks-certified Spark developer. He has been working on Apache Spark for the last five years, and enjoys writing applications in Python, Go, and SQL.
Read more about Akash Grade

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Spark SQL

In our previous chapter, we learned about DataFrames and datasets and how we can use or write custom encoders to have type-safe operations on datasets. This chapter explains the SQL component of Spark, which helps developers working on Hive or familiar with RDBMS SQL to use a similar style in Spark.

We will be covering the following topics in this chapter:

  • Spark metastore
  • SQL language manual
  • SQL database using Java Database Connectivity (JDBC)
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Apache Spark Quick Start Guide
Published in: Jan 2019Publisher: PacktISBN-13: 9781789349108
© 2019 Packt Publishing Limited All Rights Reserved

Authors (2)

author image
Shrey Mehrotra

Shrey Mehrotra has over 8 years of IT experience and, for the past 6 years, has been designing the architecture of cloud and big-data solutions for the finance, media, and governance sectors. Having worked on research and development with big-data labs and been part of Risk Technologies, he has gained insights into Hadoop, with a focus on Spark, HBase, and Hive. His technical strengths also include Elasticsearch, Kafka, Java, YARN, Sqoop, and Flume. He likes spending time performing research and development on different big-data technologies. He is the coauthor of the books Learning YARN and Hive Cookbook, a certified Hadoop developer, and he has also written various technical papers.
Read more about Shrey Mehrotra

author image
Akash Grade

Akash Grade is a data engineer living in New Delhi, India. Akash graduated with a BSc in computer science from the University of Delhi in 2011, and later earned an MSc in software engineering from BITS Pilani. He spends most of his time designing highly scalable data pipeline using big-data solutions such as Apache Spark, Hive, and Kafka. Akash is also a Databricks-certified Spark developer. He has been working on Apache Spark for the last five years, and enjoys writing applications in Python, Go, and SQL.
Read more about Akash Grade

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