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

Preface

We live in a world where the amount of data being generated is constantly increasing. While a few decades ago, an organization may have had a single database that could store everything they needed to track, today most organizations have tens, hundreds, or even thousands of databases, along with data warehouses, and perhaps a data lake. And these data stores are being fed from an increasing number of data sources (transaction data, web server log files, IoT and other sensors, and social media, to name just a few).

It is no surprise that we hear more and more companies talk about being data-driven in their decision making. But in order for an organization to be truly data-driven, they need to be masters of managing and drawing insights from these ever-increasing quantities and types of data. And to enable this, organizations need to employ people with specialized data skills.

Doing a search on LinkedIn for jobs related to data returns over 1.5 million results (and that is just for the United States!). The job titles include roles such as data engineers (with 185,000 results), data scientists (120,000 results), and data architects (75,000 results).

While this book will not magically make you a data engineer, it has been designed to accelerate your journey toward data engineering on AWS. By the end of this book, you will not only have learned some of the core concepts around data engineering, but you will also have a good understanding of the wide variety of tools available in AWS for working with data. You will also have been through numerous hands-on exercises, gaining practical experience with things such as ingesting streaming data, transforming and optimizing data, building visualizations, and even drawing insights from data using AI.