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You're reading from  Distributed Data Systems with Azure Databricks

Product typeBook
Published inMay 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781838647216
Edition1st Edition
Languages
Python
Tools
Azure Functions
Concepts
Data Science
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Author (1)
Alan Bernardo Palacio
Alan Bernardo Palacio
author image
Alan Bernardo Palacio

Alan Bernardo Palacio is a data scientist and an engineer with vast experience in different engineering fields. His focus has been the development and application of state-of-the-art data products and algorithms in several industries. He has worked for companies such as Ernst and Young, Globant, and now holds a data engineer position at Ebiquity Media helping the company to create a scalable data pipeline. Alan graduated with a Mechanical Engineering degree from the National University of Tucuman in 2015, participated as the founder in startups, and later on earned a Master's degree from the faculty of Mathematics in the Autonomous University of Barcelona in 2017. Originally from Argentina, he now works and resides in the Netherlands.
Read more about Alan Bernardo Palacio

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Using the Structured Streaming API

Structured Streaming is integrated into the PySpark API and embedded in the Spark DataFrame API. It provides ease of use when working with streaming data and, in most cases, it requires very small changes to migrate from a computation on static data to a streaming computation. It provides features to perform windowed aggregation and for setting the parameters of the execution model.

As we have discussed in previous chapters, in Azure Databricks, streams of data are represented as Spark dataframes. We can verify that the data frame is a stream of data by checking that the isStreaming property of the data frame is set as true. In order to operate with Structured Streaming, we can summarize the steps as read, process, and write, as exemplified here:

  1. We can read streams of data that are being dumped in, for example, an S3 bucket. The following example code shows how we can use the readStream method, specifying that we are reading a comma-separated...
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Distributed Data Systems with Azure Databricks
Published in: May 2021Publisher: PacktISBN-13: 9781838647216
© 2021 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Alan Bernardo Palacio

Alan Bernardo Palacio is a data scientist and an engineer with vast experience in different engineering fields. His focus has been the development and application of state-of-the-art data products and algorithms in several industries. He has worked for companies such as Ernst and Young, Globant, and now holds a data engineer position at Ebiquity Media helping the company to create a scalable data pipeline. Alan graduated with a Mechanical Engineering degree from the National University of Tucuman in 2015, participated as the founder in startups, and later on earned a Master's degree from the faculty of Mathematics in the Autonomous University of Barcelona in 2017. Originally from Argentina, he now works and resides in the Netherlands.
Read more about Alan Bernardo Palacio

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