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|a Palacio, Alan Bernardo,
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|a Distributed data systems with Azure databricks :
|b create, deploy, and manage enterprise data pipelines /
|c Alan Bernardo Palacio.
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|a Includes index.
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|a 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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505 |
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|a Table of Contents Introduction to Azure Databricks core concepts Creating an Azure Databricks workspace Creating an ETL with Databricks Delta Lake with Databricks Introducing Delta Engine Structured Streaming Azure Databricks integration with Popular Python Libraries Databricks Runtime for Machine Learning Databricks Runtime for Deep Learning Model tuning, deployment and control Using DataBricks AutoML MLFlow on Azure Databricks Distributed Deep Learning with Horovod.
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|a Palacio, Alan Bernardo.
|t Distributed data systems with Azure Databricks
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|z 9781838647216
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