kdb+ and q: Analyze time series data Training Course

Course Code

kdbplusandq

Duration

21 hours (usually 3 days including breaks)

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

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 Outline

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

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £3750

Private Remote

From £3300 (103)

Public Classroom

Cannot find a suitable date? Choose Your Course Date >>Too expensive? Suggest your price

Course Discounts

Course Discounts Newsletter

We respect the privacy of your email address. We will not pass on or sell your address to others.
You can always change your preferences or unsubscribe completely.