Wow! eBook
Scalable Data Analytics with Azure Data Explorer: Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
Author(s): Jason Myerscough (Author)
- Publisher: Packt Publishing
- Publication Date: 17 Mar. 2022
- Language: English
- Print length: 364 pages
- ISBN-10: 1801078548
- ISBN-13: 9781801078542
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 the Kusto Query Language and 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.
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
- 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
Editorial Reviews
Review
“I liked the completeness of this book. It covers all the critical factors to choose a data analytics platform. Being part of the extensive ADX testing for data analytics projects, I found this book to be really practical. It covers all the aspects starting from creation, ingestion, and querying through to monitoring, security, and even cost management for ADX clusters. Anyone looking for beginner to intermediate-level information will find the book helpful. It focuses on practical examples for each phase of data analytics and how ADX can be a great Azure service for each milestone in the journey. ADX is a beast which can crunch PBs of data and return query results very fast. You’ll discover that this book describes the advantages of ADX and inbuilt time series capabilities to help readers identify trends, detect anomalies, and build forecasts. ADX could be a great asset for analyzing telemetry, logs, clickstream, or user activity data, along with offering great data compression as it eventually stores data in the column store.”
—
Harsh Chawla, Azure Specialist – Data & AI
“Scalable Data Analytics with Azure Data Explorer is a great starter for new users working with real-time analytics with high query performance in the big data world. The author successfully explains the different steps and how to optimize the different Kusto workflows.”
—
Tzvia Gitlin Troyna, Principal PM (Program&Product) Manager at Microsoft
“This book gives an excellent introduction to Azure Data Explorer. The book contains step-by-step instructions on setting up Azure Data Explorer and starting to use it. Apart from covering the basics of Azure Data Explorer, it also helps you get to grips with some more advanced topics. I found the chapters on time series analysis and anomaly detection very informative.”
— Niels Berglund, Architect Lead Derivco, Durban, SA
“The book Scalable Data Analytics with Azure Data Explorer is a holistic guide to getting started with Azure Data Explorer. It also covers DevOps and DataOps topics as it relates to the Azure data service. I found this a very valuable read.”
—
Ralph Kemperdick, Digital Business Architect – Data at Microsoft
