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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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In the previous chapter, you learned how to read from and write to a CSV file using both Python and R. When it comes to reading a file, whether you use Power BI's standard data import feature or the techniques shown in the previous chapter, the main limitation on the file size is the amount of RAM available on the machine where Power BI Desktop is installed.In a data enrichment phase, it may be necessary to extract information needed for ongoing analysis from very large files (terabytes in size). In these cases, it is almost always necessary to implement big data solutions to be able to handle such large amounts of data. Very often, however, it is necessary to import files that are slightly larger than the available memory in order to extract aggregate information and then persist it in a small table for reuse during processing. In such cases, you don't need to worry about sophisticated big data platforms...

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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