You're reading from Microsoft 365 and SharePoint Online Cookbook Over 100 practical recipes to help you get the most out of Office 365 and SharePoint Online

Product type Paperback

Published in Jun 2020

Publisher Packt

ISBN-13 9781838646677

Length 810 pages

Edition 1st Edition

Tools

Office 365

Concepts

Project Management

Authors (2):

Gaurav Mahajan

Sudeep Ghatak

View More author details

Table of Contents (19) Chapters

Preface

1. Section 1: AWS Data Engineering Concepts and Trends

2. Chapter 1: An Introduction to Data Engineering FREE CHAPTER

3. Chapter 2: Data Management Architectures for Analytics

4. Chapter 3: The AWS Data Engineer's Toolkit

5. Chapter 4: Data Cataloging, Security, and Governance

6. Section 2: Architecting and Implementing Data Lakes and Data Lake Houses

7. Chapter 5: Architecting Data Engineering Pipelines

8. Chapter 6: Ingesting Batch and Streaming Data

9. Chapter 7: Transforming Data to Optimize for Analytics

10. Chapter 8: Identifying and Enabling Data Consumers

11. Chapter 9: Loading Data into a Data Mart

12. Chapter 10: Orchestrating the Data Pipeline

13. Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning

14. Chapter 11: Ad Hoc Queries with Amazon Athena

15. Chapter 12: Visualizing Data with Amazon QuickSight

16. Chapter 13: Enabling Artificial Intelligence and Machine Learning

17. Chapter 14: Wrapping Up the First Part of Your Learning Journey

18. Other Books You May Enjoy

Ingesting data from a relational database

A common source of data for analytical projects is data that comes from a relational database system such as MySQL, PostgreSQL, SQL Server, or an Oracle database. Organizations often have multiple siloed databases, and they want to bring the data from these varied databases into a central location for analytics.

It is common for these projects to include ingesting historical data that already exists in the database, as well as for syncing ongoing new and changed data from the database. There are a variety of tools that can be used to ingest from database sources, as we will discuss in this section.

AWS Database Migration Service (DMS)

The primary AWS service for ingesting data from a database is AWS Database Migration Service (DMS), though there are other ways to ingest data from a database source. As a data engineer, you need to evaluate both the source and the target to determine which ingestion tool will be best suited.

AWS DMS...