Book Image

Scalable Data Analytics with Azure Data Explorer

By : Jason Myerscough
Book Image

Scalable Data Analytics with Azure Data Explorer

By: Jason Myerscough

Overview of this book

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.
Table of Contents (18 chapters)
1
Section 1: Introduction to Azure Data Explorer
5
Section 2: Querying and Visualizing Your Data
11
Section 3: Advanced Azure Data Explorer Topics

Questions

Before moving on to the next chapter, test your knowledge by trying these exercises. The answers can be found at the back of the book:

  1. Modify adx-powershell.ps1 and try to deploy another cluster with doubleEncryption enabled. Hint: New-AzKustoCluster has an optional parameter called -EnableDoubleEncryption.
  2. Create a new parameter file and enable purging and doubleEncryption, then change the hot cache period to 10 days and the soft delete period to 100 days.
  3. In the Azure portal, create a second ADX database and set the hot cache to 10 days and soft delete to 50 days.
  4. Modify adx-powershell.ps1 and deploy your ADX cluster to an Azure region that is close to you.
  5. What is the difference between the hot cache and soft delete retention periods?
  6. What shells are supported by Cloud Shell?
  7. How do you open the code editor in Cloud Shell?