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

Author (1)

Alan Bernardo Palacio

Section 2: Data Pipelines with Databricks

This section will help you work with data and learn how to manage different sources of data, transform it, and use it in the interactions of the different options that Azure has in order to create entire ETL pipelines.

This section contains the following chapters:

Chapter 3, Creating ETL Operations with Azure Databricks
Chapter 4, Delta Lake with Azure Databricks
Chapter 5, Introducing Delta Engine
Chapter 6, Introducing Structured Streaming

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Distributed Data Systems with Azure Databricks

Published in: May 2021Publisher: PacktISBN-13: 9781838647216

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Author (1)

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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