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+ training can be carried out locally on customer premises in Montevideo or in NobleProg corporate training centers in Montevideo.
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Montevideo - La Cumparsita
1282 Ituzaingo Street, Montevideo, uruguay
Uruguay's home of culture, politics and commerce now presents La Cumparsita. La Cumparsita is located in 'Ciudad Vieja', the ...
Uruguay's home of culture, politics and commerce now presents La Cumparsita. La Cumparsita is located in 'Ciudad Vieja', the oldest part of the capital city of Montevideo, near the main square of Plaza Independencia. In recent years, this neighborhood (which for several decades was the country's political and economic center of the city) has undergone an impressive regeneration. Renowned for its art deco buildings, colonial houses and landmarks, including the neoclassical Solis Theater, it is also Uruguay's main port and home to the 'Mercado del Puerto', a former market and venue for traditional Uruguayan food and drink.
More than just a contemporary glass facade, this building impresses from the start with its double-height ceiling lobby and rooftop terrace, ideal for lazy lunches or networking evenings. Every workspace is flooded with natural light, from private offices to elegant meeting rooms and bustling common areas. Connect with our thriving community of like-minded professionals and soak up the entrepreneurial spirit. Best of all, getting here couldn't be easier: the Buenos Aires bus stop, Estación Central train station and Montevideo ferry terminal are just steps away.
Montevideo, World Trade Center III
Av. Luís Alberto Herrera y Av. Veintiséis de Marzo, Montevideo, uruguay
With its stunning views and workspaces flooded with natural light, this center is certain to impress. It occupies the 19-stor...
With its stunning views and workspaces flooded with natural light, this center is certain to impress. It occupies the 19-story renovated World Trade Center third tower and is situated in the vibrant, growing Buceo area. The building, which is connected to the other towers by a lively inner square, is close to the government and embassy district, as well as being next to Montevideo's shopping hub. The square, known as Plaza las Torres, includes famous sculptures. More than 200 companies are established at WTC Montevideo, mostly global banks, airlines and multinationals, alongside telecoms, financial and legal firms. Uruguay's workforce is well educated and boasts a high literacy rate. The country's main industries include beef exports, wool and leather, and it has a strong IT sector. The center is 30 minutes from the international airport, 10 minutes from the bus station and 20 minutes from the harbor.
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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