Alan Bernardo Palacio
Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines
Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines
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Excellent- More about Distributed Data Systems with Azure Databricks: Create, deploy, and manage enterprise data pipelines
Microsoft Azure Databricks is a powerful tool for building and deploying massive data pipelines and improving productivity. It provides distributed training and deployment of machine learning and deep learning models, integrated ETL with Azure Data Factory and Delta Lake, and deep learning and machine learning models in a distributed computing infrastructure. This book provides a hands-on approach to implementing Azure Databricks and its associated methodologies, with detailed explanations of essential concepts, practical examples, and self-assessment questions. It is for software engineers, machine learning engineers, data scientists, and data engineers who are new to Azure Databricks and want to build high-quality data pipelines without worrying about infrastructure.
Format: Paperback / softback
Length: 414 pages
Publication date: 25 May 2021
Publisher: Packt Publishing Limited
Key Features
Get to grips with the distributed training and deployment of machine learning and deep learning models
Learn how ETLs are integrated with Azure Data Factory and Delta Lake
Explore deep learning and machine learning models in a distributed computing infrastructure
Book Description
Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models.
Databricks advanced features enable developers to process, transform, and explore data.
Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines.
The Book Provides
A hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time.
Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you'll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib.
As you advance, you'll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks.
Finally, you'll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines.
By the end of this MS Azure book, you'll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.
Weight: 772g
Dimension: 191 x 237 x 26 (mm)
ISBN-13: 9781838647216
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