kdb+ and q: Analyze time series data Training Course

Course CodeCourse Code

kdbplusandq

Duration Duration

21 hours (usually 3 days including breaks)

Requirements Requirements

  • An understanding of statistics
  • Experience in the financial industry is helpful
  • An understanding of relational databases
  • Some experience with programming is helpful, but not required

Overview Overview

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

Course OutlineCourse Outline

To request a customized course outline for this training, please contact us.

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Guaranteed to run even with a single delegate!
Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
From £3300
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1 £3300
2 £2325
3 £2000
4 £1838
Public Classroom
From £3750
(91)
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1 £3750
2 £2575
3 £2183
4 £1988
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Related Courses

Upcoming Courses

VenueCourse DateCourse Price [Remote / Classroom]
Bradford - Carlisle Business CentreTue, 2018-02-06 09:30£3300 / £4050
SouthamptonMon, 2018-02-12 09:30£3300 / £4050
Belfast City CentreTue, 2018-02-13 09:30£3300 / £4050
Exeter - The SenateTue, 2018-02-13 09:30£3300 / £4200
GlasgowTue, 2018-02-13 09:30£3300 / £4350

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