Collect, Combine, and Transform Data Using Power Query in Power Bi and Excel - Daniil Maslyuk
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Présentation Collect, Combine, And Transform Data Using Power Query In Power Bi And Excel de Daniil Maslyuk Format Broché
- Livre Littérature Générale
Résumé : Transform your data analysis experience with Power Query, the ultimate tool for importing, reshaping, and cleansing data through a user-friendly interface. Whether youre using Power BI, Excel, or other Microsoft products, Power Querys capabilities are at your fingertips. Renowned Power Query experts Daniil Maslyuk and Gil Raviv guide you through mastering this indispensable tool, helping you eliminate tedious manual data preparation, tackle common issues, and avoid potential pitfalls. In this updated edition, youll delve into comprehensive analytics challenges, seamlessly integrating your skills into a realistic, final project. By the end, youll possess the expertise to handle any data and convert it into actionable insights. You will learn how to: About This Book
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Biographie: Daniil Maslyuk is an independent business intelligence consultant, trainer, and speaker who specializes in Microsoft Power BI. Daniil is the author of all official Microsoft Power BI exam reference books. For his community contributions, Daniil has been recognized as a Microsoft MVP. Daniil blogs at xxlbi.com and posts on X as @DMaslyuk. Gil Raviv is a seasoned Data & AI expert, founder of DataChant Consulting, and the creator of BI Pixie, an enterprise solution that measures the engagement, adoption, and user satisfaction of Microsoft Power BI audiences. Gil started his Power Query journey as a senior program manager on the Microsoft Excel Product team, where he led the design and integration of Power Query as the next-generation Get Data and data-wrangling technology in Excel 2016. Since then, Gil has been a devoted Power Query practitioner. With the knowledge of Power Query at his disposal, Gil moved to consulting, and over the course of seven years he reached global leadership roles at Avanade and Amazon Web Services (AWS), where he advised Fortune 1000 enterprises in their BI migrations and Analytics centers of excellence. With two decades of software development, product management, and consulting experience at Microsoft, AWS, and other companies, Gil has always found the time to share knowledge and has received recognitions for his contributionsincluding a five year Microsoft MVP award, two years as a Microsoft Fast Track Solution Architect, and four U.S. patents in the fields of computer networks, cybersecurity, and analytics.
Sommaire: CHAPTER 1 Introduction to Power Query CHAPTER 2 Basic Data Preparation Challenges CHAPTER 3 Combining Data from Multiple Sources CHAPTER 4 Combining Mismatched Tables CHAPTER 5 Preserving Context CHAPTER 6 Unpivoting Tables CHAPTER 7 Advanced Unpivoting and Pivoting of Tables CHAPTER 8 Addressing Collaboration Challenges CHAPTER 9 Introduction to the Power Query M Formula Language CHAPTER 10 From Pitfalls to Robust Queries CHAPTER 11 Data Profiling CHAPTER 12 Basic Text Analytics CHAPTER 13 Advanced Text Analytics: Extracting Meaning CHAPTER 14 Query Diagnostics CHAPTER 15 Power Query Online CHAPTER 16 Final Project: Combining It All Together
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