Scalable Data Analytics with Azure Data Explorer

person icon Packt Publishing

Scalable Data Analytics with Azure Data Explorer

Scalable Data Analytics with Azure Data Explorer

person icon Jason Myerscough

ebook icon Packt Publishing

language icon Language - English

updated on icon Updated on Jan, 2023

architecture icon Microsoft Azure,Databases,Data Analysis


This eBook includes

Formats : PDF (Read Only)

Pages : 364

ISBN : 9781801079426

Language : English

About the Book

Book description

Write efficient and powerful KQL queries to query and visualize your data and implement best practices to improve KQL execution performance

Key Features

  • Apply Azure Data Explorer best practices to manage your data at scale and reduce KQL execution time
  • Discover how to query and visualize your data using the powerful KQL
  • Manage cluster performance and monthly costs by understanding how to size your ADX cluster correctly

Book Description

Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you rapidly explore and query your data at scale and secure your ADX clusters.

The book begins by introducing you to ADX, its architecture, core features, and benefits. You'll learn how to securely deploy ADX instances and navigate through the ADX Web UI, cover data ingestion, and discover how to query and visualize your data using the powerful Kusto Query Language (KQL). Next, you'll get to grips with KQL operators and functions to efficiently query and explore your data, as well as perform time series analysis and search for anomalies and trends in your data. As you progress through the chapters, you'll explore advanced ADX topics, including deploying your ADX instances using Infrastructure as Code (IaC). The book also shows you how to manage your cluster performance and monthly ADX costs by handling cluster scaling and data retention periods. Finally, you'll understand how to secure your ADX environment by restricting access with best practices for improving your KQL query performance.

By the end of this Azure book, you'll be able to securely deploy your own ADX instance, ingest data from multiple sources, rapidly query your data, and produce reports with KQL and Power BI.

What you will learn

  • Become well-versed with the core features of the Azure Data Explorer architecture
  • Discover how ADX can help manage your data at scale on Azure
  • Get to grips with deploying your ADX environment and ingesting and analyzing your data
  • Explore KQL and learn how to query your data
  • Query and visualize your data using the ADX UI and Power BI
  • Ingest structured and unstructured data types from an array of sources
  • Understand how to deploy, scale, secure, and manage ADX

Who this book is for

This book is for data analysts, data engineers, and data scientists who are responsible for analyzing and querying their team's large volumes of data on Azure. SRE and DevOps engineers who deploy, maintain, and secure infrastructure will also find this book useful. Prior knowledge of Azure and basic data querying will help you to get the most out of this book.

Scalable Data Analytics with Azure Data Explorer

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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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