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The DataFrame database
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Picking the Ultimate Fantasy Premier League Team with ArcticDB
Picking the Ultimate Fantasy Premier League Team with ArcticDB
Want to Pick the Ultimate Fantasy Football Team? In this blog we are going to use ArcticDB to manage and help analyse raw player statistics…
Matthew Simpson
Aug 14
Benchmarking ArcticDB
Benchmarking ArcticDB
ArcticDB thrives on continuous improvement and rigorously tested updates. This article looks at the benchmarking process we’ve adopted, a…
Georgi Petrov
Jul 31
Why ArcticDB Works So Well for Quant Research and Data Science
Why ArcticDB Works So Well for Quant Research and Data Science
Introduction
Nick Clarke
Jul 12
Why you should use ArcticDB instead of CSV to save your Pandas DataFrames
Why you should use ArcticDB instead of CSV to save your Pandas DataFrames
Storing time series data in Python? Forget CSVs, ArcticDB is the smarter choice. It’s designed for large datasets and offers incredible…
Matthew Simpson
Jun 7
Time travel in ArcticDB
Time travel in ArcticDB
Previous blog posts have talked about the immutability of data stored in ArcticDB as a means of optimising performance, improving…
Alex Owens
Apr 12
Why ArcticDB? Our answer to high-volume DataFrame processing in Quant Finance
Why ArcticDB? Our answer to high-volume DataFrame processing in Quant Finance
Finding value in data for quant and financial data analytics isn’t just about taking data from its raw form and transforming it into a…
Abhi Thakur
Jan 5
A match made in-memory ArcticDB ❤️ D-Tale
A match made in-memory ArcticDB ❤️ D-Tale
In this article we cover how you can use our open source libraries DTale and ArcticDB to visualise huge DataFrames
Andrew Schonfeld
Sep 13, 2023
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