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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
Languages
Python
Tools
Power BI
Concepts
Business Intelligence
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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.
Read more about Luca Zavarella

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Test your knowledge

Q01. What are the main features of the Parquet format?Q02. What are the benefits and limitations of the native Parquet connector in Power BI?Q03. What’s the difference between predicate pushdown and partition pruning?Q04. How do you explain the differences in performance between Dask and PyArrow?Q05. Is there a specific API to transform referenced data from an Arrow dataset into R?

Answers

A01. Parquet is an open-source columnar storage format designed to optimize file efficiency. It stores data in a columnar format, which allows for efficient compression and encoding of data, resulting in faster query execution times and reduced storage requirements. Parquet can handle complex data structures and uses binary encoding to enhance data security. It is compatible with interactive and serverless technologies like Azure Synapse Analytics and Azure Databricks and Fabric and can be used in Power BI with Python and R. Basically, Parquet is a high-performance storage...

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Extending Power BI with Python and R - Second Edition
Published in: Mar 2024Publisher: PacktISBN-13: 9781837639533
© 2024 Packt Publishing Limited All Rights Reserved

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

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