Scalable Data Analytics with Azure Data Explorer

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

By: Jason Myerscough, Arunee Singhchawla

Write A Review

eText | 17 March 2022 | Edition Number 1

At a Glance

Format
ePUB

eText

$64.89

or 4 interest-free payments of $16.22 with

Free with Kobo Plus Read

Start Free Trial *

Subscribe and read all you want.
$13.99 a month after free trial. Cancel Anytime. Learn more.

Instant online reading in your Booktopia eTextbook Library *

Read online on

Desktop

Tablet

Mobile

Not downloadable to your eReader or an app

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

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 improve KQL execution time
Discover how to query and visualize your data using the powerful KQL
Manage your cluster performance and monthly ADX costs by understanding how to size your ADX clusters correctly

Book Description

Azure Data Explorer (ADX) enables developers and data scientists to make data-driven business decisions. This book will help you gain insights rapidly from your applications by querying data at scale and implementing best practices to 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 KQL query language. 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

Understand the basics and core features of Azure Data Explorer architecture
Find out how Azure Data Explorer can help you to manage your data at scale on Azure
Deploy your ADX environments and learn how to ingest and start analyzing your data
Get well-versed with Kusto Query Language (KQL), the power query language for exploring your data and detecting patterns
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 your 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 Azure knowledge and basic data querying will be helpful in getting the most out of this book.