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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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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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 364 p.
  • 言語 ENG
  • 商品コード 9781801078542
  • DDC分類 006.312

Full 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 DescriptionAzure 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 forThis 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.

Contents

Table of Contents

Introducing Azure Data Explorer
Building Your Azure Data Explorer Environment
Exploring the Azure Data Explorer UI
Ingesting Data in Azure Data Explorer
Introducing the Kusto Query Language
Introducing Time Series Analysis
Identifying Patterns, Anomalies, and Trends in Your Data
Data Visualization with Azure Data Explorer and Power BI
Monitoring and Troubleshooting Azure Data Explorer
Azure Data Explorer Security
Performance Tuning in Azure Data Explorer
Cost Management in Azure Data Explorer

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