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Distributed Data Systems with Azure Databricks

You're reading from  Distributed Data Systems with Azure Databricks

Product type Book
Published in May 2021
Publisher Packt
ISBN-13 9781838647216
Pages 414 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Alan Bernardo Palacio Alan Bernardo Palacio
Profile icon Alan Bernardo Palacio
LinkedIn
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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Table of Contents (17) Chapters

Preface Section 1: Introducing Databricks
Chapter 1: Introduction to Azure Databricks Chapter 2: Creating an Azure Databricks Workspace Section 2: Data Pipelines with Databricks
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 Section 3: Machine and Deep Learning with Databricks
Chapter 7: Using Python Libraries in Azure Databricks Chapter 8: Databricks Runtime for Machine Learning Chapter 9: Databricks Runtime for Deep Learning Chapter 10: Model Tracking and Tuning in Azure Databricks Chapter 11: Managing and Serving Models with MLflow and MLeap Chapter 12: Distributed Deep Learning in Azure Databricks Other Books You May Enjoy

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Authors (1)

Profile icon Alan Bernardo Palacio
LinkedIn
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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