Extending Power BI with Python and R - Second Edition: Perform advanced analysis using the power of analytical languages 2nd ed. Edition

Ingest, transform, manipulate, and visualize your data beyond Power BI's capabilities.

Key Features

• Discover best practices for using Python and R in Power BI by implementing non-trivial code
• Enrich your Power BI dashboards using external APIs and machine learning models
• Create any visualization, as complex as you want, using Python and R scripts

Book Description

The latest edition of this book delves deeper 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 laptop RAM, employing parquet data format, and advanced fuzzy matching algorithms are explored. Additionally, it discusses leveraging SQL Server External Languages 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 PowerBI book will help you master data validation with regular expressions, import data from diverse sources, and apply advanced algorithms for transformation. Next, you'll learn 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 data sets by plotting multiple visual graphs in the process of building a machine-learning model. The book will guide you to Utilize external APIs for enrichment, enhancing I/O performance, and leveraging Python and R for analysis.

You'll also be able to reinforce learning with questions at the end of each chapter.

What you will learn

• Configure optimal integration of Python and R with Power BI
• Perform complex data manipulations not possible by default in Power BI
• Boost Power BI logging and loading large datasets
• Extract insights from your data using algorithms like linear optimization
• Calculate string distances and learn how to use them for probabilistic fuzzy matching
• Handle outliers and missing values for multivariate and time-series data
• Apply Exploratory Data Analysis in Power BI with R
• Learn to use Grammar of Graphics in Python

Who this book is for

This book is for business analysts, business intelligence professionals, and data scientists who already use Microsoft Power BI and want to add more value to their analysis using Python and R. Working knowledge of Power BI is required to make the most of this book. Basic knowledge of Python and R will also be helpful.

About the Author

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.