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How to read data from a kdb+ server to Jupyter or Python
Right. So your company has a kdb+ server running somewhere, and you wanna do some fancy work with the data they hold.
Here is the tutorial for that. Before we get started, please make sure that we have the following:
Requirements Python 2.7+ or 3.4+ Knows how to install a Python package using PIP Access to a kdb+ server, knowing its hostname/IP address, and a valid user/password pair If you do not have experience with PIP and are using Anaconda, the easiest way to do this is to open Anaconda Prompt, and type the pip commands (shown below) there.
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What is kdb
The Wikipedia definition of kdb:
kdb+ is a column-based relational time series database (TSDB) with in-memory (IMDB) abilities, developed and marketed by Kx Systems. The database is commonly used in high-frequency trading (HFT) to store, analyze, process, and retrieve large data sets at high speed. kdb+ has the ability to handle billions of records and analyzes data within a database. The database is available in 32-bit and 64-bit versions for several operating systems.
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