Cloud Scale Analytics with Azure Data Services

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Cloud Scale Analytics with Azure Data Services

Cloud Scale Analytics with Azure Data Services


This eBook includes

Formats : PDF (Read Only)

Pages : 520

ISBN : 9781800562141

Language : English

About the Book

Book description

A practical guide to implementing a scalable and fast state-of-the-art analytical data estate

Key Features

  • Store and analyze data with enterprise-grade security and auditing
  • Perform batch, streaming, and interactive analytics to optimize your big data solutions with ease
  • Develop and run parallel data processing programs using real-world enterprise scenarios

Book Description

Azure Data Lake, the modern data warehouse architecture, and related data services on Azure enable organizations to build their own customized analytical platform to fit any analytical requirements in terms of volume, speed, and quality.

This book is your guide to learning all the features and capabilities of Azure data services for storing, processing, and analyzing data (structured, unstructured, and semi-structured) of any size. You will explore key techniques for ingesting and storing data and perform batch, streaming, and interactive analytics. The book also shows you how to overcome various challenges and complexities relating to productivity and scaling. Next, you will be able to develop and run massive data workloads to perform different actions. Using a cloud-based big data-modern data warehouse-analytics setup, you will also be able to build secure, scalable data estates for enterprises. Finally, you will not only learn how to develop a data warehouse but also understand how to create enterprise-grade security and auditing big data programs.

By the end of this Azure book, you will have learned how to develop a powerful and efficient analytical platform to meet enterprise needs.

What you will learn

  • Implement data governance with Azure services
  • Use integrated monitoring in the Azure Portal and integrate Azure Data Lake Storage into the Azure Monitor
  • Explore the serverless feature for ad-hoc data discovery, logical data warehousing, and data wrangling
  • Implement networking with Synapse Analytics and Spark pools
  • Create and run Spark jobs with Databricks clusters
  • Implement streaming using Azure Functions, a serverless runtime environment on Azure
  • Explore the predefined ML services in Azure and use them in your app

Who this book is for

This book is for data architects, ETL developers, or anyone who wants to get well-versed with Azure data services to implement an analytical data estate for their enterprise. The book will also appeal to data scientists and data analysts who want to explore all the capabilities of Azure data services, which can be used to store, process, and analyze any kind of data. A beginner-level understanding of data analysis and streaming will be required.

Cloud Scale Analytics with Azure Data Services

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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