Adelaide City Central

Level 5, City Central, Tower 2, Adelaide, Australia, 5000
The Adelaide City Central Centre is in the heart of the city in the legal and financial district. Situated in a premium offic...

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kdb+ and q: Analyze Time Series Data

21 Hours
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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KDB+/Q/Python Financial Data Ananlysis

21 Hours
Audience *KDB+/Q developer Format of the course 50% lectures, 40% labs, 10% tests
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Testimonials (1)

Good introduction to the subject, the trainer totally adapted to my requests

Mathieu - Crédit Agricole Corporate & Investment Bank
Course - KDB+/Q/Python Financial Data Ananlysis

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