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

AWS services for ingesting data

The first step in building big data analytic solutions is to ingest data from a variety of sources into AWS. In this section, we introduce some of the core AWS services designed to help with this; however, this should not be considered a comprehensive review of every possible way to ingest data into AWS.

Don't feel overwhelmed by the number of services we cover in this section! We will explore approaches for deciding on the right service for your specific use case in later chapters, but it is important to have a good understanding of the available tools upfront.

Overview of Amazon Database Migration Service (DMS)

One of the most common ingestion use cases is to sync data from a traditional database system into an analytic pipeline, either landing the data in an Amazon S3-based data lake, or in a data warehousing system such as Amazon Redshift.

Amazon DMS is a versatile tool that can be used to migrate existing database systems to a new...