In this instructor-led, live training in 北京, participants will learn how to create a time series data application using kdb+ and q.
By the end of this training, participants will be able to:
Understand the difference between a row-oriented database and a column-oriented database.
Select data, write scripts and create functions to carry out advanced analytics.
Analyze time series data such as stock and commodity exchange data.
Use kdb+'s in-memory capabilities to store, analyze, process and retrieve large data sets at high speed.
Think of functions and data at a higher level than the standard function(arguments) approach common in non-vector languages.
Explore other time-sensitive applications for kdb+, including energy trading, telecommunications, sensor data, log data, and machine and network usage monitoring.
