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 Osaka can be carried out locally on customer premises or in NobleProg corporate training centers.
Osaka's Kokusai Centre is on the top floor of a 31-storey landmark building in Honmachi within the city's main business distr...
Osaka's Kokusai Centre is on the top floor of a 31-storey landmark building in Honmachi within the city's main business district. This centre features wide windows letting in lots of natural light. Osaka is an attractive choice for foreign enterprises seeking to enter the Japanese market, particularly in the service and IT sectors. The Kansai region is home to top global companies from the electrical equipment, chemical, food, pharmaceutical, and finance industries. In recent years, leading companies in the environmental and energy industries have set up business bases here and the Kansai region is a centre for battery production. The centre is highly accessible as it's just five minutes' walk from both Honmachi subway station and Osaka/Umeda station and Shinsaibashi/Namba station, as well as being less than 40 minutes from either Osaka International Airport or Kansai International Airport. The centre is close to many local amenities including restaurants and hotels.
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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