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Microsoft 365 and SharePoint Online Cookbook

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

Summary

In this chapter, we reviewed several ways to ingest common data types into AWS. We reviewed how AWS DMS can be used to replicate a relational database to S3, and how Amazon Kinesis and Amazon MSK can be used to ingest streaming data.

In the hands-on section of this chapter, we used both the AWS DMS and Amazon Kinesis services to ingest data and then used AWS Glue to add the newly ingested data to the data catalog and query the data with Amazon Athena.

In the next chapter, Chapter 7, Transforming Data to Optimize for Analytics, we will review how we can transform the ingested data to optimize it for analytics, a core task for data engineers.

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Authors (2)

Mahajan

Mahajan

Ajay Mahajan is a distinguished member of technical staff (DMTS) at Wipro Technologies and currently is in the role of chief technologist of the retail vertical. In his current role, he helps customers adopt cloud-native and digital architecture for next-generation retail applications. He worked with retail and banking clients in Europe and the USA on large-scale mission-critical systems. He has seen the evolution of enterprise Java from the Netscape Application Server to servlets/JSP, JEE, Spring, and now the cloud and microservices during the course of 19 years of working on Java platform.

See other products by Mahajan

Sudeep Ghatak

Sudeep Ghatak

Sudeep Ghatak is a Microsoft MVP in Business Applications and a frequent contributor to the Power Automate Community forum. He works as a Principal Architect in Christchurch, New Zealand and loves designing solutions based on Office 365 and the Azure platform. He is a certified Solutions Developer (MCSD) and holds a postgraduate degree in instrumentation engineering. He is an active member of the Microsoft community and often seen speaking at user groups and conferences in New Zealand.

See other products by Sudeep Ghatak

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