Whether you are a data scientist looking to learn q, or a kdb+ developer looking to learn machine learning, there is something for everyone. by Jan Novotny, Paul A. Bilokon, Aris Galiotos, and Frederic Deleze.

Q for Mortals: a textbook for kdb+ and the q programming language

2019年11月4日 · Rather than an all-encompassing “bible”-type reference, this book is designed with a focus on real-world practicality ­to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency data; Delve into “meat” of q programming to solve practical economic problems

Get to know the world’s fastest time series database. *Independently benchmarked by STAC Research. Meets your largest data needs in the most demanding environments. Supports our native language q, as well as Python, Java, C#, C++, Rust, R, and open-source libraries.

Rather than an all-encompassing “bible”-type reference, this book is designed with a focus on real-world practicality ­to help you quickly get up to speed and become productive with the language. Understand why kdb+/q is the ideal solution for high-frequency data; Delve into “meat” of q programming to solve practical economic problems

kdb+是一种高性能的时序数据库和分析引擎，主要特点在于其时序数据处理能力，该数据库采用内存数据库的概念，将数据存储于RAM中，从而实现了出色的数据访问速度和查询性能。 其独特的列式存储方式进一步提升了时序数据处理的效率，使得数据压缩和查询变得更加高效。 kdb+支持分布式架构，允许构建集群以处理大规模数据，实现了水平扩展和负载均衡。 kdb+具备强大的查询语言，即 q语言，基于 APL编程语言，支持向量化操作，使数据分析和查询操作变得高效且便捷 …

在本教程中，您将学习如何使用KDB+教程Kdb+是KxSystemsInc推出的高性能面向列的数据库。 kdb+旨在捕获、分析、比较和存储数据−一切都在高速和大量数据的情况下进行。 本教程首先对Kdb+进行基本介绍，然后介绍其架构、安装以及从基础到高级的q编程语言。