Book Image

Microsoft 365 and SharePoint Online Cookbook

By : Mahajan, Sudeep Ghatak
Book Image

Microsoft 365 and SharePoint Online Cookbook

By: Mahajan, Sudeep Ghatak

Overview of this book

Microsoft Office 365 provides tools for managing organizational tasks like content management, communication, report creation, and business automation processes. With this book, you'll get to grips with popular apps from Microsoft, enabling workspace collaboration and productivity using Microsoft SharePoint Online, Teams, and the Power Platform. In addition to guiding you through the implementation of Microsoft 365 apps, this practical guide helps you to learn from a Microsoft consultant's extensive experience of working with the Microsoft business suite. This cookbook covers recipes for implementing SharePoint Online for various content management tasks. You'll learn how to create sites for your organization and enhance collaboration across the business and then see how you can boost productivity with apps such as Microsoft Teams, Power Platform, Planner, Delve, and M365 Groups. You'll find out how to use the Power Platform to make the most of Power Apps, Power Automate, Power BI, and Power Virtual Agents. Finally, the book focuses on the SharePoint framework, which helps you to build custom Teams and SharePoint solutions. By the end of the book, you will be ready to use Microsoft 365 and SharePoint Online to enhance business productivity using a broad set of tools.
Table of Contents (19 chapters)
1
Section 1: AWS Data Engineering Concepts and Trends
6
Section 2: Architecting and Implementing Data Lakes and Data Lake Houses
13
Section 3: The Bigger Picture: Data Analytics, Data Visualization, and Machine Learning

Chapter 1: An Introduction to Data Engineering

Data engineering is a fast-growing career path, and a role in high demand, as data becomes ever more critical to organizations of all sizes. For those that enjoy the challenge of putting together the "puzzle pieces" that build out complex data pipelines to ingest raw data, and to then transform and optimize that data for various data consumers, it can be a really rewarding career.

In this chapter, we look at the many ways that data has become an important and valuable corporate asset. We also review some of the challenges that organizations face as they deal with increasing volumes of data, and how data engineers can use cloud-based services to help overcome these challenges. We then set the foundations for the rest of the hands-on activities in this book by providing step-by-step details on creating a new Amazon Web Services (AWS) account.

Throughout this book, we are going to cover a number of topics that teach the fundamentals of developing data engineering pipelines on AWS, but we'll get started in this chapter with these topics:

  • The rise of big data as a corporate asset
  • The challenges of ever-growing datasets
  • The role of the data engineer as a big data enabler
  • The benefits of the cloud when building big data analytic solutions
  • Hands-on - create or access an AWS account for following along with the hands-on activities in this book