Course Details
Discover more about this course and what it offers.
kdb+ and q: Analyze Time Series Data Training Course
Category: Data Analysis Training
Course 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. Format of the Course Interactive lecture and discussion. Lots of exercises and practice. Hands-on implementation in a live-lab environment. Course Customization Options To request a customized training for this course, please contact us to arrange. This course is available as onsite live training in USA or online live training.
Learning Objectives
By the end of this course, participants will be able to:
- Understand the fundamental concepts covered in this course
- Apply theoretical knowledge to practical scenarios
- Develop skills relevant to the course subject matter
- Analyze and evaluate key concepts and methodologies
- Implement best practices in real-world situations
- Demonstrate competency in the course material
Course Outline
- Module 1: Introduction and Fundamentals
- Module 2: Core Concepts and Principles
- Module 3: Practical Applications
- Module 4: Advanced Topics
- Module 5: Implementation and Best Practices
Course Goals
This course is designed to:
- Provide comprehensive knowledge in the subject area
- Enhance professional skills and competencies
- Prepare participants for industry challenges
- Foster critical thinking and problem-solving abilities
- Support career advancement and professional development
Training Methodology
Participants will experience a combination of engaging lectures, group discussions, case studies, and hands-on exercises. Our expert instructors will provide insights and guide you through practical applications relevant to your industry.
Who Should Attend
This course is designed for professionals who want to enhance their knowledge and skills in this subject area. Ideal participants include:
- Managers and Team Leaders
- Senior Professionals
- Department Heads
- Consultants and Advisors
- Business Development Professionals