Search icon
Subscription
0
Cart icon
Close icon
You have no products in your basket yet
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Azure Data Engineer Associate Certification Guide

You're reading from  Azure Data Engineer Associate Certification Guide

Product type Book
Published in Feb 2022
Publisher Packt
ISBN-13 9781801816069
Pages 574 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Newton Alex Newton Alex
Profile icon Newton Alex

Table of Contents (23) Chapters

Preface 1. Part 1: Azure Basics
2. Chapter 1: Introducing Azure Basics 3. Part 2: Data Storage
4. Chapter 2: Designing a Data Storage Structure 5. Chapter 3: Designing a Partition Strategy 6. Chapter 4: Designing the Serving Layer 7. Chapter 5: Implementing Physical Data Storage Structures 8. Chapter 6: Implementing Logical Data Structures 9. Chapter 7: Implementing the Serving Layer 10. Part 3: Design and Develop Data Processing (25-30%)
11. Chapter 8: Ingesting and Transforming Data 12. Chapter 9: Designing and Developing a Batch Processing Solution 13. Chapter 10: Designing and Developing a Stream Processing Solution 14. Chapter 11: Managing Batches and Pipelines 15. Part 4: Design and Implement Data Security (10-15%)
16. Chapter 12: Designing Security for Data Policies and Standards 17. Part 5: Monitor and Optimize Data Storage and Data Processing (10-15%)
18. Chapter 13: Monitoring Data Storage and Data Processing 19. Chapter 14: Optimizing and Troubleshooting Data Storage and Data Processing 20. Part 6: Practice Exercises
21. Chapter 15: Sample Questions with Solutions 22. Other Books You May Enjoy

Building external tables

External tables are similar to regular tables except that the data is stored in external storage locations such as Azure Data Lake, Azure Blob storage, and HDFS. With external tables, you don't need to copy data into internal tables for processing. They can directly read the data from external sources, which saves on the data transfer cost. In Synapse, both dedicated SQL and serverless SQL support external tables. We have to define the following three constructs to access data via external tables:

  • EXTERNAL DATA SOURCE

Here is an example of how we can create an external data source named users_iacstoreacct:

CREATE EXTERNAL DATA SOURCE [Dp203DataSource] 
	WITH ( LOCATION  = 'abfss://path/to/data')
  • EXTERNAL FILE FORMAT

Here is an example of how to create an external file format named SynapseParquetFormat:

CREATE EXTERNAL FILE FORMAT [Dp203ParquetFormat] 
	WITH ( FORMAT_TYPE = PARQUET )
  • EXTERNAL...
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}