Sign In Start Free Trial
Account

Add to playlist

Create a Playlist

Modal Close icon
You need to login to use this feature.
  • Book Overview & Buying Extending Power BI with Python and R
  • Table Of Contents Toc
Extending Power BI with Python and R

Extending Power BI with Python and R - Second Edition

By : Luca Zavarella
5 (30)
close
close
Extending Power BI with Python and R

Extending Power BI with Python and R

5 (30)
By: Luca Zavarella

Overview of this book

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.
Table of Contents (27 chapters)
close
close
23
Other Books You May Enjoy
24
Index
1
Appendix 1: Answers
2
Appendix 2: Glossary

Preface

Welcome to the second edition of our book, where the journey into advanced analytics for Power BI deepens and expands your expertise in Python and R. This edition isn’t just an update; it’s an expansion into new territory, meticulously crafted to enhance your analytical prowess, whether you’re using Power BI or diving directly into Python and R.

We’ve introduced new chapters that pave the way for optimizing your environment, harnessing the power of Intel’s Math Kernel Library for speed, and tackling integration challenges with finesse. Imagine managing massive data sets effortlessly, using advanced techniques and the Swift parquet format for fast data processing. Imagine mastering the art of probabilistic fuzzy matching and navigating the potential of SQL Server External Languages to overcome traditional limitations in Power BI. You’ll also be guided in creating stunning visualizations using not only R, but also Python, applying the Grammar of Graphics through a specialized package.

The remaining chapters have been carefully updated, expanded, and technically refined. They give you the skills to excel at validating data using regular expressions, leveraging data from a variety of uncommon external sources, and applying sophisticated data transformation algorithms. You’ll explore advanced methods for protecting personal data in Power BI, including strategies for pseudonymization, anonymization, and data masking. This book also covers integrating external APIs to enrich your datasets, improve I/O efficiency, and leverage the powerful analytical capabilities of Python and R. Perform comprehensive analysis and uncover deep insights with statistical and machine learning methods, all without requiring the premium capacity. The text encourages you to visualize key statistical features of your data through a variety of graphical outputs as you develop machine learning models. In addition, each chapter has challenging questions and answers that reinforce your understanding and test your skills.

Join us on this challenging adventure where your analytical skills will soar to new heights.

CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Extending Power BI with Python and R
notes
bookmark Notes and Bookmarks search Search in title playlist Add to playlist download Download options font-size Font size

Change the font size

margin-width Margin width

Change margin width

day-mode Day/Sepia/Night Modes

Change background colour

Close icon Search
Country selected

Close icon Your notes and bookmarks

Confirmation

Modal Close icon
claim successful

Buy this book with your credits?

Modal Close icon
Are you sure you want to buy this book with one of your credits?
Close
YES, BUY

Submit Your Feedback

Modal Close icon
Modal Close icon
Modal Close icon