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The DataFrame database
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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
Our Journey Creating ArcticDB: Solving the Challenge of DataFrames at Scale
Our Journey Creating ArcticDB: Solving the Challenge of DataFrames at Scale
At Man Group, managing data is at the heart of what we do and the data structure our quants and researchers work with most often is the…
William Dealtry
Apr 14, 2023
Introducing ArcticDB:Powering data science at an active investment management firm with US$143bn…
Introducing ArcticDB:Powering data science at an active investment management firm with US$143bn…
Back in 2012 we created Arctic, a datastore for numeric data that was designed to address the numerous data challenges we faced at Man…
Matthew Hertz
Mar 16, 2023
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