kdb+ Training in 대한민국

In this instructor-led, live training in 대한민국, 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.

청중 *KDB+/Q 개발자 과정 형식 50% 강의, 40% 실험, 10% 시험