Learning Objectives
Take your PyKX knowledge to the next level with this course, covering building and querying a real-time and historical architecture. You’ll learn about each of the key components in the ticker architecture including:
- Building a historical database (HDB)
- Compressing and ingesting data into the HDB
- Optimizing query structure to speed up analytics
- Building a real-time architecture that ingests live data
- Developing APIs for analytics across real-time and historical data
- Advanced queries
Who is this course for?
This course is aimed at users who have a working knowledge of Python and have completed the PyKX Developer 1 course. No prior experience with kdb+/q is required. This course is for users who want to learn to implement a real-time and historical data architecture with PyKX.
What do I receive for taking this course?
At the end of the course, there is a final quiz.
You must achieve 80% or over in this quiz in order to receive a Certificate of Achievement which will live on your profile. You can download it and share it on social media or LinkedIn.
