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Product typeBook
Published inMay 2021
Reading LevelBeginner
PublisherPackt
ISBN-139781838647216
Edition1st Edition
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Alan Bernardo Palacio
Alan Bernardo Palacio
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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.
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Example on Structured Streaming

In this example, we will be looking at how we can leverage knowledge we have acquired on Structured Streaming throughout the previous sections. We will simulate an incoming stream of data by using one of the example datasets in which we have small JSON files that, in real scenarios, could be the incoming stream of data that we want to process. We will use these files in order to compute metrics such as counts and windowed counts on a stream of timestamped actions. Let's take a look at the contents of the structured-streaming example dataset, as follows:

%fs ls /databricks-datasets/structured-streaming/events/

You will find that there are about 50 JSON files in the directory. You can see some of these in the following screenshot:

Figure 6.3 – The structured-streaming dataset's JSON files

We can see what one of these JSON files contains by using the fs head option, as follows:

%fs head /databricks-datasets...
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Distributed Data Systems with Azure Databricks
Published in: May 2021Publisher: PacktISBN-13: 9781838647216

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