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

Introducing virtual networking and subnet delegation

As we saw in the previous section, identity management is a good method for restricting access to ADX clusters. We can control access at both the management and data plane levels, but our cluster is still available on the public internet. Anyone who knows the name of our cluster could potentially connect by guessing usernames and passwords.

Like a lot of Azure resources, such as storage accounts and Azure SQL, they are accessible on the internet by default. The problem with this default deployment is that we cannot restrict inbound and outbound traffic. Azure supports advanced deployments that allow us to deploy resources within a virtual network. Virtual networks let us create private networks on Azure to isolate and restrict access to our resources, such as virtual machines, ADX clusters, and so on.

Deploying our ADX cluster in a virtual network gives us more control over inbound and outbound traffic. We can use NSGs to...