Distributed data systems with Azure Databricks - Info and Reading Options
By Alan Bernardo Palacio
"Distributed data systems with Azure Databricks" was published by Packt publishing in 2021 - Birmingham UK and it has 414 pages.
“Distributed data systems with Azure Databricks” Metadata:
- Title: ➤ Distributed data systems with Azure Databricks
- Author: Alan Bernardo Palacio
- Number of Pages: 414
- Publisher: Packt publishing
- Publish Date: 2021
- Publish Location: Birmingham UK
“Distributed data systems with Azure Databricks” Subjects and Themes:
- Subjects: Data Warehousing - Microsoft Azure - Computer platforms
Edition Identifiers:
- The Open Library ID: OL35309248M - OL26161313W
- ISBN-13: 9781838642693 - 9781838647216
- All ISBNs: 9781838642693 - 9781838647216
AI-generated Review of “Distributed data systems with Azure Databricks”:
"Distributed data systems with Azure Databricks" Table Of Contents:
- 1- Introduction to Azure Data Bricks
- 2- Creating an Azure Data Bricks Workspace
- 3- Creating ETL Operations with Azure Data Bricks
- 4- Delta Lake with Azure Data Bricks
- 5- Introducing Delta Engine
- 6- Introducing Structured Streaming
- 7- Using Python Libraries in Azure Data Bricks
- 8- Data Bricks Runtime for Machine Learning
- 9- Data Bricks Runtime for Deep Learning
- 10- Model Tracking and Tuning in Azure Data Bricks
- 11- Managing and Serving Models with MLflow and MLeap
- 12- Distributed Deep Learning in Azure Data bricks
"Distributed data systems with Azure Databricks" Description:
Open Data:
This book helps you to learn how to extract, transform, and orchestrate massive amounts of data to develop robust data pipelines. You'll perform complex machine learning tasks using advanced Azure Databricks features, and also explore model tuning, deployment, and control using Databricks functionalities such as AutoML and Delta Lake with
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