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

Hands-on – ingesting streaming data

Earlier in this chapter, we looked at two options for ingesting streaming data into AWS, namely Amazon Kinesis and Amazon MSK. In this section, we will use the serverless Amazon Kinesis service to ingest streaming data. To generate streaming data, we will use the open source Amazon Kinesis Data Generator (KDG) In this section:

Configure Amazon Kinesis Data Firehose to ingest streaming data, and write the data out to Amazon S3.
Configure Amazon KDG to create a fake source of streaming data.

To get started, let's configure a new Kinesis Data Firehose to ingest streaming data and write it out to our Amazon S3 data lake.

Configuring Kinesis Data Firehose for streaming delivery to Amazon S3

Kinesis Data Firehose is designed to enable you to easily ingest data from streaming sources, and then write that data out to a supported target (such as Amazon S3, which we will do in this exercise). Let's get started:

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