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You're reading from  Azure Data Engineer Associate Certification Guide

Product typeBook
Published inFeb 2022
PublisherPackt
ISBN-139781801816069
Edition1st Edition
Tools
Azure
Concepts
Big Data
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Author (1)
Newton Alex
Newton Alex
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Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex

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Transforming data by using Apache Spark

Apache Spark supports transformations with three different Application Programming Interfaces (APIs): Resilient Distributed Datasets (RDDs), DataFrames, and Datasets. We will learn about RDDs and DataFrame transformations in this chapter. Datasets are just extensions of DataFrames, with additional features like being type-safe (where the compiler will strictly check for data types) and providing an object-oriented (OO) interface.

The information in this section applies to all flavors of Spark available on Azure: Synapse Spark, Azure Databricks Spark, and HDInsight Spark.

What are RDDs?

RDDs are an immutable fault-tolerant collection of data objects that can be operated on in parallel by Spark. These are the most fundamental data structures that Spark operates on. RDDs support a wide variety of data formats such as JSON, comma-separated values (CSV), Parquet, and so on.

Creating RDDs

There are many ways to create an RDD. Here is...

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Azure Data Engineer Associate Certification Guide
Published in: Feb 2022Publisher: PacktISBN-13: 9781801816069
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Newton Alex

Newton Alex leads several Azure Data Analytics teams in Microsoft, India. His team contributes to technologies including Azure Synapse, Azure Databricks, Azure HDInsight, and many open source technologies, including Apache YARN, Apache Spark, and Apache Hive. He started using Hadoop while at Yahoo, USA, where he helped build the first batch processing pipelines for Yahoo's ad serving team. After Yahoo, he became the leader of the big data team at Pivotal Inc., USA, where he was responsible for the entire open source stack of Pivotal Inc. He later moved to Microsoft and started the Azure Data team in India. He has worked with several Fortune 500 companies to help build their data systems on Azure.
Read more about Newton Alex

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