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+ trainings in Bilbao can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Bilbao
NobleProg Bilbao, Street Bikendi Kalea 5, Bizcaya, spain, 48001
Bilbao is a municipality located in the north of Spain, capital of the province and historical territory of Vizcaya, in the a...
Bilbao is a municipality located in the north of Spain, capital of the province and historical territory of Vizcaya, in the autonomous community of the Basque Country. The town of Bilbao is the capital and unique locality of the municipality, with 345 141 inhabitants.
Today it is a thriving city of services, which is in a process of aesthetic, social and economic revitalization led by the symbolic Guggenheim Museum Bilbao.
In addition to its airport, Bilbao has a large and effective line of railways and buses that circulate throughout the municipality.
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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