Master Your Data with Power Query in Excel and Power BI : Leveraging Power Query to Get & Transform Your Task Flow
Master data transformation techniques using Power Query in Excel and Power BI. Learn to manage, optimize, and automate your data workflows with practical examples. Key Features: Comprehensive coverage of Power Query from basics to advanced techniques. Seamless integration and movement of queries bet...
Gardado en:
| Auteurs principaux: | , |
|---|---|
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| Acceso en liña: | Accès Université d'Orléans et IFPM |
| Nota: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781836646648.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Master Your Data with Power Query in Excel and Power BI, Leveraging Power Query to Get & Transform Your Task Flow, Miguel Escobar, Ken Puls, Birmingham, Packt Publishing, 2024, 1 vol. (386 p.), 978-18-3664-665-5 |
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| 009 | PPN28165610X | ||
| 020 | |a 9781836646648 | ||
| 041 | 0 | |a eng | |
| 100 | 1 | |a Escobar, Miguel. | |
| 245 | 1 | 0 | |a Master Your Data with Power Query in Excel and Power BI : |b Leveraging Power Query to Get & Transform Your Task Flow |c Miguel Escobar, Ken Puls. |
| 260 | |a Birmingham : |b Packt Publishing. | ||
| 260 | |a Paris : |b Cyberlibris, |c 2024. | ||
| 500 | |a Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781836646648.jpg | ||
| 500 | |a Cyberlibris (ScholarVox) corpus Informatique | ||
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a Master data transformation techniques using Power Query in Excel and Power BI. Learn to manage, optimize, and automate your data workflows with practical examples. Key Features: Comprehensive coverage of Power Query from basics to advanced techniques. Seamless integration and movement of queries between Excel and Power BI. Hands-on practice with real-world data scenarios to build your confidence. Book Description: This book equips you with the essential skills to master Power Query in Excel and Power BI. Starting with the basics, you'll learn query management, data types, and error handling, establishing a solid foundation. You'll explore techniques to move queries between Excel and Power BI, ensuring seamless workflow integration. As the guide progresses, you'll delve into data import methods from flat files, Excel, web-based, and relational sources, while performing key transformations like appending, combining, and reshaping data. Advanced topics such as conditional logic, Power Query values, and M Language fundamentals will enhance your ability to customize and optimize queries. The book also covers the creation of parameters and custom functions, alongside applying sophisticated date and time techniques. Finally, you'll learn to optimize query performance and automate data refreshes, ensuring your analysis remains current. By the end of this guide, you'll have the confidence and expertise to effectively transform and manage data using Power Query, significantly enhancing your data analysis capabilities in Excel and Power BI. What you will learn: Understand Power Query fundamentals. Manage queries effectively. Transform and cleanse data. Import data from diverse sources. Utilize advanced features like M language. Automate and optimize data processes. Who this book is for: Ideal for data analysts, Excel users, and Power BI enthusiasts looking to streamline data processing. Readers should have a basic understanding of Excel and data handling concepts. No prior knowledge of Power Query is required | ||
| 700 | 1 | |a Puls, Ken. |4 aut | |
| 776 | 0 | |t Master Your Data with Power Query in Excel and Power BI |o Leveraging Power Query to Get & Transform Your Task Flow |f Miguel Escobar, Ken Puls |c Birmingham |n Packt Publishing |d 2024 |p 1 vol. (386 p.) |z 978-18-3664-665-5 | |
| 856 | 4 | |5 452349901:845619810 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88958861 |z Accès Université d'Orléans et IFPM | |
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