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Database Engines Trends Dashboard
DB-Engines.com is a website that reference and rank hundreds of database engines, threw the most famous ones likes Oracle, MySQL, SQL Server, PostGreSQL…
Le Tour de France History Dashboard
After scraping historical data from the "Tour de France" website, we will leverage this data to build a beautiful dashboard.
Using DuckDB with Tableau Desktop on Windows
DuckDB is an in-process SQL OLAP database management system. These database is very fast for OLAP queries and have several advantages: There is also…
TPC-H benchmark of DuckDB and Hyper on native files
In this blog post, we examine the performance of two popular SQL engines for querying large files: These engines have gained popularity due to their…
Cartographie FiLoSoFi : données sur les revenus médians en France
Comme indiqué sur son site, l'INSEE fournit des informations socio-économiques sur près de 30 millions de ménages.
Loading data from CSV files into a Tableau Hyper extract
Hyper is Tableau’s in-memory data engine technology, designed for fast data ingest and analytical query processing on large or complex data sets.
Using Tableau to detect outliers and ruptures
To do that, we are going to get the outliers of a dataset, the change points and a piecewise approximation.
Tableau 2022 Optimize Workbook Feature : first test
"Optimize Workbook" is a new feature of Tableau 2022. .. but infortunatly the link redirect tableau.com root website where we could expect a technical…
Tableau Performance Tips #8 : Avoid using Tableau Groups
Tableau allow users to build their own custom groups very easily. This is a convenient way to regroup data on elements that users want to see regrouped.
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