Search icon
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Scalable Data Analytics with Azure Data Explorer

You're reading from  Scalable Data Analytics with Azure Data Explorer

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781801078542
Pages 364 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Jason Myerscough Jason Myerscough
Profile icon Jason Myerscough

Table of Contents (18) Chapters

Preface Section 1: Introduction to Azure Data Explorer
Chapter 1: Introducing Azure Data Explorer Chapter 2: Building Your Azure Data Explorer Environment Chapter 3: Exploring the Azure Data Explorer UI Section 2: Querying and Visualizing Your Data
Chapter 4: Ingesting Data in Azure Data Explorer Chapter 5: Introducing the Kusto Query Language Chapter 6: Introducing Time Series Analysis Chapter 7: Identifying Patterns, Anomalies, and Trends in your Data Chapter 8: Data Visualization with Azure Data Explorer and Power BI Section 3: Advanced Azure Data Explorer Topics
Chapter 9: Monitoring and Troubleshooting Azure Data Explorer Chapter 10: Azure Data Explorer Security Chapter 11: Performance Tuning in Azure Data Explorer Chapter 12: Cost Management in Azure Data Explorer Chapter 13: Assessment Other Books You May Enjoy

Understanding data ingestion

Before learning how data ingestion works with ADX, let's revisit the different types of data:

  • Structured data: When we think of structured data, we think of relational databases that are made up of tables consisting of rows and columns. Each column has a data type such as an integer or string, and it sometimes includes additional constraints such as fixed-length strings and strings with specific formats such as a postcode.
  • Semi-structured: When we think of semi-structured data, we think of JSON and XML. They have a structure defined with tags, but the format is typically less rigid than relational databases.
  • Unstructured data: Unstructured data is data that has no constraints, such as SMS messages, text files, and emails, and social media such as status posts, messages, and images.

As shown in Figure 4.1, ADX supports four categories of services that enable data ingestion:

Figure 4.1 – Data analysis pipeline

Figure 4.1 – Data...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $15.99/month. Cancel anytime}