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kdb+ and q: Analyze Time Series Data

 21 Hours
In this instructor-led, live training in Botswana, 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.
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KDB+/Q/Python Financial Data Ananlysis

 21 Hours
Audience *KDB+/Q developer Format of the course 50% lectures, 40% labs, 10% tests
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