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You're reading from  Extending Power BI with Python and R - Second Edition

Product typeBook
Published inMar 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781837639533
Edition2nd Edition
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Author (1)
Luca Zavarella
Luca Zavarella
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Luca Zavarella

Luca Zavarella has a rich background as an Azure Data Scientist Associate and Microsoft MVP, with a Computer Engineering degree from the University of L'Aquila. His decade-plus experience spans the Microsoft Data Platform, starting as a T-SQL developer on SQL Server 2000 and 2005, then mastering the full suite of Microsoft Business Intelligence tools (SSIS, SSAS, SSRS), and advancing into data warehousing. Recently, his focus has shifted to advanced analytics, data science, and AI, contributing to the community as a speaker and blogger, especially on Medium. Currently, he leads the Data & AI division at iCubed, and he also holds an honors degree in classical piano from the "Alfredo Casella" Conservatory in L'Aquila.
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Qr code Description automatically generated

As you've learned in previous chapters, Power BI uses Power Query as a tool for extract, transform, and load (ETL) operations. This tool is really very powerful – it allows you to extract data from a wide variety of data sources and then easily transform it with very user-friendly options in order to persist it into the Power BI data model. It is a tool that can only read information from the outside. In fact, Power Query’s biggest limitation is its inability to write information outside of Power BI. However, by integrating analytical languages such as Python and R, you can persist information about Power Query loading and transformation processes to external files or systems. In this chapter, you will learn the following topics:

  • Logging to CSV files
  • Logging to Excel files
  • Logging to (Azure) SQL Server
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Extending Power BI with Python and R - Second Edition
Published in: Mar 2024Publisher: PacktISBN-13: 9781837639533

Author (1)

author image
Luca Zavarella

Luca Zavarella has a rich background as an Azure Data Scientist Associate and Microsoft MVP, with a Computer Engineering degree from the University of L'Aquila. His decade-plus experience spans the Microsoft Data Platform, starting as a T-SQL developer on SQL Server 2000 and 2005, then mastering the full suite of Microsoft Business Intelligence tools (SSIS, SSAS, SSRS), and advancing into data warehousing. Recently, his focus has shifted to advanced analytics, data science, and AI, contributing to the community as a speaker and blogger, especially on Medium. Currently, he leads the Data & AI division at iCubed, and he also holds an honors degree in classical piano from the "Alfredo Casella" Conservatory in L'Aquila.
Read more about Luca Zavarella