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Scalable Data Analytics with Azure Data Explorer

Modern ways to query, analyze, and perform real-time data analysis on large volumes of data

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Paperback / softback
17 March 2022
$109.11
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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.

You Can Find This Book In

    Book Details
    ISBN-13
    9781801078542
    Author
    Jason Myerscough
    Publisher
    Packt Publishing
    Published
    17 March 2022
    Format
    Paperback / softback

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    $109.11
    Ships in 3-5 business days
    Hurry up! Current stock:

    Scalable Data Analytics with Azure Data Explorer

    $109.11

    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.

    You Can Find This Book In

      Book Details

      ISBN-13
      9781801078542
      Author
      Jason Myerscough
      Publisher
      Packt Publishing
      Published
      17 March 2022
      Format
      Paperback / softback

      This Book Is Categorised As