Book

Distributed Data Systems with Azure Databricks

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 TensorFlow.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
13h48m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 13h48m total length

1. Introduction to Azure Databricks core concepts
2. Creating an Azure Databricks workspace
3. Creating an ETL with Databricks
4. Delta Lake with Databricks
5. Introducing Delta Engine
6. Structured Streaming
7. Azure Databricks integration with Popular Python Libraries
8. Databricks Runtime for Machine Learning
9. Databricks Runtime for Deep Learning
10. Model tuning, deployment and control Using DataBricks AutoML
11. MLFlow on Azure Databricks
12. Distributed Deep Learning with Horovod

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