Zavarella Extending Power BI with Python and R

Perform advanced analysis using the power of analytical languages
2. Auflage 2024
ISBN: 978-1-83763-586-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 814 Seiten

No detailed description available for "Extending Power BI with Python and R".

Autoren/Hrsg.

Zavarella, Luca

Weitere Mitwirkende

Talwar, Rajat

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Präsentationsgraphik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

Inhaltsverzeichnis

Table of Contents - Where and How to Use R and Python Scripts in Power BI
- Configuring R with Power BI
- Configuring Python with Power BI
- Solving Common Issues When Using Python and R in Power BI
- Importing Unhandled Data Objects
- Using Regular Expressions in Power BI
- Anonymizing and Pseudonymizing your Data in Power BI
- Logging Data from Power BI to External Sources
- Loading Large Datasets Also Beyond the Available RAM in Power BI
- Boosting Data Loading Speed in Power BI with Parquet Format
- Calling External APIs To Enrich Your Data
- Calculating Columns Using Complex Algorithms: Distances
- Calculating Columns Using Complex Algorithms: Fuzzy Matching
- Calculating Columns Using Complex Algorithms: Optimization Problems
- Adding Statistics Insights: Associations
- Adding Statistics Insights: Outliers and Missing Values
- Using Machine Learning Without Premium or Embedded Capacity
- Using SQL Server External Languages for Advanced Analytics and ML Integration in Power BI
- Exploratory Data Analysis
- Using the Grammar of Graphics in Python with plotnine
- Advanced Visualizations
- Interactive R Custom Visuals

Über Autor(innen)

Zavarella Luca:
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.