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

Chapter 4

  1. Which of the following is the preferred ingestion method: streaming ingestion or batch ingestion?

Answer: Batch ingestion is the preferred ingestion method and is designed for high ingestion throughput.

  1. Try to import the StormEvents CSV file using the one-click ingestion method. We will use the StormEvents table in the next chapter.

Answer:

  1. Log in to the ADX Web UI by going to https://dataexplorer.azure.com/.
  2. Click Add Cluster and then enter the URL of your ADX cluster. For instance, my ADX instance is called https://myerscoughadx.westeurope.kusto.windows.net. Then, click Add to connect to the instance.
  3. From the left-hand side menu, click Data. Ensure you have expanded your cluster and have clicked your database. This is to ensure you are at the correct scope level, otherwise, the one-click Ingestion method will not work.
  4. Under Ingest new data, click Ingest.
  5. For the Cluster option, select your ADX cluster.
  6. For the Database...