Scalable Data Analytics with Azure Data Explorer: Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
Author: Jason Myerscough and Arunee Singhchawla
Publisher finelybook 出版社: Packt Publishing (March 17, 2022)
Language 语言: English
Print Length 页数: 364 pages
ISBN-10: 1801078548
ISBN-13: 9781801078542
Book Description
By finelybook
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 Author: understanding how to size your ADX cluster correctly
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 Author: 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 Author: handling cluster scaling and data retention periods. Finally, you’ll understand how to secure your ADX environment Author: restricting access with best practices for improving your KQL query performance.
Author: 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
