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

Author (1)

Luca Zavarella

Index

Symbols

(Azure) SQL Server

credentials, managing in code 265

logging to 244

logging, with Python 252

logging, with R 261

SQL Server Express, installing 244-247

(Azure) SQL Server, logging with Python 252

emails and dates, logging 258-261

pyodbc module, using 252-258

(Azure) SQL Server, logging with R 261

DBI and odbc packages, using 261-264

emails and dates, logging 264, 265

.pbiviz packages 701

ActivePython 49

addresses

geocoding, in Power BI with Python 346

geocoding, in Power BI with R 346, 347

addresses with Python

geocoding 333

Geocoder library, using in parallel 339, 340

geocoding, with explicit GET request 333-337

geocoding, with explicit GET request in parallel 337-339

addresses with R

geocoding 340

geocoding, with explicit GET request 340-342

geocoding, with explicit GET request in parallel 342-344

tidygeocoder package, using in parallel 344, 345

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Author (1)

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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