Introducing Microsoft Power Bi
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Introducing Microsoft Power BI
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Introducing Microsoft Power BI enables you to evaluate when and how to use Power BI. Get inspired to improve business processes in your company by leveraging the available analytical and collaborative features of this environment. Be sure to watch for the publication of Alberto Ferrari and Marco Russo's upcoming retail book, Analyzing Data with Power BI and Power Pivot for Excel (ISBN 9781509302765). Go to the book's page at the Microsoft Press Store here for more details:http://aka.ms/analyzingdata/details. Learn more about Power BI at https://powerbi.microsoft.com/.
Introducing Microsoft Purview
Microsoft Purview is an integrated Information governance platform that provides organizations with the tools needed to manage, discover, and protect their information assets across on-premises, multi-cloud, and software-as-a-service (SaaS) environments. This book will offer you a comprehensive understanding of Microsoft Purview, its features, and its capabilities. This book begins with an introduction to the groundbreaking features and architecture of Microsoft Purview, highlighting its potential impact on organizational dynamics. You further, delve into the fundamentals of information governance, understanding its critical importance and the principles that drive effective data management in today's enterprises. Moving ahead, you will explore the intricacies of information cataloging and metadata management, learning how to create and manage centralized information catalogs, enrich metadata, and much more. Next, you will gain a deep understanding of data lineage and mapping, mastering the visualization of data flows and conducting comprehensive impact analyses. You will learn how to leverage the powerful analytics tools within Microsoft Purview to generate insightful reports and dashboards, transforming raw data into actionable insights. Further, you will navigate the complexities of policy management and compliance, establishing robust frameworks to meet regulatory requirements like GDPR and CCPA followed by industry best practices and real-world case studies, optimizing your data management strategies and overcoming common challenges. Finally, peer into the future of information governance, exploring emerging technologies and trends, and understanding the pivotal role of AI and machine learning in shaping the landscape. What You Will Learn: Understanding and apply information Governance best practices in the organization. Discovering automated information discovery capabilities Understanding the role of AI, machine learning, and automation in enhancing information governance practices How to comply with various information privacy regulations (e.g., GDPR, CCPA, HIPAA) Who This Book Is For: Information engineers and Information Governance Officers
Introducing Microsoft Azure HDInsight
Microsoft Azure HDInsight is Microsoft’s 100 percent compliant distribution of Apache Hadoop on Microsoft Azure. This means that standard Hadoop concepts and technologies apply, so learning the Hadoop stack helps you learn the HDInsight service. At the time of this writing, HDInsight (version 3.0) uses Hadoop version 2.2 and Hortonworks Data Platform 2.0. In Introducing Microsoft Azure HDInsight, we cover what big data really means, how you can use it to your advantage in your company or organization, and one of the services you can use to do that quickly–specifically, Microsoft’s HDInsight service. We start with an overview of big data and Hadoop, but we don’t emphasize only concepts in this book–we want you to jump in and get your hands dirty working with HDInsight in a practical way. To help you learn and even implement HDInsight right away, we focus on a specific use case that applies to almost any organization and demonstrate a process that you can follow along with. We also help you learn more. In the last chapter, we look ahead at the future of HDInsight and give you recommendations for self-learning so that you can dive deeper into important concepts and round out your education on working with big data.