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. Zwolle onsite live kdb+ trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Zwolle
Zwolle Trade Centre, Grote Voort 293-A, Zwolle, Netherlands, 8041 BL
Zwolle Trade Center (ZTC) aims to house and bring together businesses in a vibrant location of exceptional beauty. It's a pla...
Zwolle Trade Center (ZTC) aims to house and bring together businesses in a vibrant location of exceptional beauty. It's a place that invites entrepreneurship, ideal for both larger and smaller enterprises.
In addition to its fantastic and iconic location, the building is characterized by high-quality architecture, impeccable finishing, and excellent facilities. These include a restaurant, a spacious entrance with security, and a well-equipped reception area.
The Zwolle Trade Center was designed by the American architectural firm PPK Architects. The architect's style is modern and cosmopolitan, giving the building the true "Zuid-AS" feeling in Zwolle.
Flexible office space with all the amenities of a modern office, such as a corporate restaurant, fully furnished workstations, meeting rooms, ample parking, and a reception area.
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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