BI analytics. Boosted.

atoti highlights

  • Analyze millions of rows on your laptop and up to several terabytes in the cloud
  • Create what-if scenarios and compare them side by side
  • Enable multi-dimensional analysis with OLAP cubes
  • Visualize data in interactive widgets without coding from Jupyter notebook
  • Share results with peers and partners
  • Explore data from atoti’s dashboarding web application or Excel
     

What users say:

Great python lib for exploratory data analysis, kinda your own small #Tableau right within #Jupyter notebook. Very serious backend behind, efficient RAM management (in-memory cube).

Julien LaugelChief Data Scientist

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Use cases

Everything you need to know about RDBMS vs. OLAP

This article will explore the two big players in the data processing game- OLAP and ...
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Exploring OLAP with atoti and Pokemon

Analyzing Pokemon Fight Data โ€” Which is the strongest Pokemon of them all? The Beginning ...
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Do you know what changed in the latest version of atoti?

We recently released atoti 0.6.5. The latest version of atoti comes with a whole lot ...
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Twitter

If you need to productionize your atoti #application, here is some good news: we have created a Project Template to guide you.

Check out the template
๐Ÿ‘‰ https://github.com/atoti/project-template

๐Ÿ“Install atoti
๐Ÿ‘‰ https://docs.atoti.io/latest/installation.html

#github #Python

https://youtu.be/9pegLJ7er7o

In case you missed it, read the interview of Piyumal about how he has used data analytics to optimize business operations for Financial Performance monitoring and how atoti sped up the process!

๐Ÿ‘‰https://www.atoti.io/articles/project-inception-to-output/

#atotiAthlete #businessintelligence #digitaltransformation

How GitHub Copilot Simplified My Life as a Data Scientist by @rohithtejam https://buff.ly/3kT1LyR

atoti works with

atoti leverages several technologies such as Python, Java, Javascript and uses Conda for distribution.
It works with all major notebooks, with enhanced features for Jupyter and SageMaker.
Run it on your laptop, server or in any cloud environment.