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kdb+ and Q: Time Series Data Analysis

The training provides a practical introduction to time series data analysis using kdb+ technology and q language. Participants will learn advanced data processing techniques through workshops with real financial datasets. The program combines fundamental theory with intensive practical exercises, enabling acquisition of skills necessary for effective work with large time series datasets. Sessions are conducted in workshop format, where each participant works on real use cases.

Why choose this training?

Growing market demands mean that, technical competencies have become a critical asset. The training provides a practical introduction to time series data analysis using kdb+ technology and q language. Participants will learn advanced data processing techniques through workshops with real financial datasets.

Upon completion, participants will be able to: After completing the training, participants will be able to effectively analyze large time series datasets using kdb+ and q language, They will gain practical knowledge in query optimization and memory management in time series systems, They will develop skills in designing efficient solutions for real-time data processing, They will learn to implement advanced financial data analyses. These competencies directly translate into higher effectiveness in IT projects.

This training is particularly valuable for: Financial data analysts, Financial systems programmers, System performance engineers.

What makes our approach unique?

At EITT, we focus on learning by doing — every training includes extensive practical components. Over 3 days of intensive training, participants work on real-world examples and scenarios, ensuring not only theoretical understanding but practical application skills.

With over 2,500 trainings in our portfolio, EITT is a trusted partner in IT competency development for organizations of all sizes. Our trainers are experienced practitioners who share up-to-date knowledge and proven solutions.

Looking for training tailored to your team’s needs? Contact us — we’ll prepare a program customized to your requirements.

Benefits

  • After completing the training, participants will be able to effectively analyze large time series datasets using kdb+ and q language
  • Query optimization and memory management in time series systems
  • They will develop skills in designing efficient solutions for real-time data processing
  • They will learn to implement advanced financial data analyses
  • They will be able to create scalable analytical systems
  • They will gain the ability to integrate kdb+ with other data processing systems

Who is this training for?

Financial data analysts
Financial systems programmers
System performance engineers
Data processing specialists
Quantitative analysts
Time series database developers
Analytical systems architects
Data modeling specialists

Prerequisites

  • Programming experience
  • Knowledge of data analysis fundamentals
  • Understanding of time series
  • Basic knowledge of financial markets

Training program

01

kdb+ system architecture

  • Syntax and data types in q
02

Table operations

  • Time data management
  • Advanced Operations
  • Time series processing
  • Aggregations and grouping
03

Query optimization

  • Performance analysis
  • Integration and Extensions
  • Connections with external systems
  • Inter-process communication
  • Data stream handling
04

Memory management

  • Practical Applications
  • Market data analysis
  • Real-time processing
05

Report creation

  • Results visualization

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the kdb+ and Q: Time Series Data Analysis training for?

The target audience includes financial data analysts, financial systems programmers, and system performance engineers. Level: intermediate.

How long is the kdb+ and Q: Time Series Data Analysis training?

The training lasts 3 days. It is delivered online or on-site.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Klaudia Janecka
Klaudia Janecka Opiekun szkolenia

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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ISO 9001 quality certified
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