Online or onsite, instructor-led live kdb+ training courses demonstrate through interactive hands-on practice the fundamentals of kdb+.
kdb+ training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live kdb+ training can be carried out locally on customer premises in Apeldoorn or in NobleProg corporate training centers in Apeldoorn.
NobleProg -- Your Local Training Provider
Apeldoorn
Apeldoorn Business Park, Het Rietveld 55A, Apeldoorn, Netherlands, 7321 CT
The Business Center Apeldoorn is located at Business Park Rietveld and offers start-ups, but also large businesses affordable...
The Business Center Apeldoorn is located at Business Park Rietveld and offers start-ups, but also large businesses affordable office space with optimal flexibility and a host of facilities for the modern flexible worker. The center is close to Apeldoorn's furniture boulevard, the center of Apeldoorn and public transportation
kdb+ is an in-memory, column-oriented database and q is its built-in, interpreted vector-based language. In kdb+, tables are columns of vectors and q is used to perform operations on the table data as if it was a list. kdb+ and q are commonly used in high frequency trading and are popular with the major financial institutions, including Goldman Sachs, Morgan Stanley, Merrill Lynch, JP Morgan, etc.
In this instructor-led, live training, 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
Audience
Developers
Database engineers
Data scientists
Data analysts
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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