Luca Zavarella

Extending Power BI with Python and R (eBook, ePUB)

Perform advanced analysis using the power of analytical languages

• Format: ePub

Produktbeschreibung

The latest edition of this book delves deep into advanced analytics, focusing on enhancing Python and R proficiency within Power BI. New chapters cover optimizing Python and R settings, utilizing Intel's Math Kernel Library (MKL) for performance boosts, and addressing integration challenges. Techniques for managing large datasets beyond available RAM, employing the Parquet data format, and advanced fuzzy matching algorithms are explored. Additionally, it discusses leveraging SQL Server Language Extensions to overcome traditional Python and R limitations in Power BI. It also helps in crafting sophisticated visualizations using the Grammar of Graphics in both R and Python.

This Power BI book will help you master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation. You'll learn how to safeguard personal data in Power BI with techniques like pseudonymization, anonymization, and data masking. You'll also get to grips with the key statistical features of datasets by plotting multiple visual graphs in the process of building a machine learning model. The book will guide you on utilizing external APIs for enrichment, enhancing I/O performance, and leveraging Python and R for analysis.

You'll reinforce your learning with questions at the end of each chapter.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 814
• Erscheinungstermin: 29. März 2024
• Englisch
• ISBN-13: 9781837635863
• Artikelnr.: 70295909

Autorenporträt

Luca Zavarella is certified as an Azure Data Scientist Associate and is also a Microsoft MVP for artificial intelligence. He graduated in computer engineering at the Faculty of Engineering of L'Aquila University, and he has more than 10 years of experience working on the Microsoft Data Platform. He started his journey as a T-SQL developer on SQL Server 2000 and 2005. He then focused on all the Microsoft Business Intelligence stack (SSIS, SSAS, SSRS), deepening data warehousing techniques. Recently, he has been dedicating himself to the world of advanced analytics and data science. He also graduated with honors in classical piano at the Conservatory "Alfredo Casella" in L'Aquila.