The best way to start a quantitative data platform is to use cloud object storage such as S3 or GCS, store data as Parquet files, ingest and validate data with Python, use a catalog for data standards, PostgreSQL for metadata, and add scheduling. Separate raw, cleaned, and processed data from the beginning.
Related Quantitative Questions And Answers
- What is quantitative development (quant dev)?
- Quant dev vs quant researcher: what’s the difference?
- What types of projects need quant development the most?
- What is the best combination of technologies for quant research?
- What is the best setup for backtesting and strategy validation?
- What is the best tech stack for trading systems?
- What tech stack to avoid when starting out in quant development?
- Why is Python so common in quant development?
- When to use C++ in quant development?
- Python vs C++ in quant systems: how to split responsibilities?
- Python vs Java for production trading: which is better?
- What database works best for quant development at the beginning?
- When to use time-series databases (InfluxDB/TimescaleDB) for quant data?
- PostgreSQL vs Parquet: what should store what in a quant stack?
- What is the best cloud setup for new quant teams?
- AWS vs GCP for quant workloads: what’s the practical difference?
- How to create reliable and repeatable quant research?
- What’s a backtest trap and how to prevent it?
- What tools help avoid common data quality problems in quant?
- How should a quant team design a data pipeline from day one?
- What is a solid basic architecture for a small quant team?
- What setup works best for risk and reporting in quant?
- What combination is not good for risk systems?
- How to choose the right technical stack for low-latency vs long-term trading?
- Why is testing important in quant system development?
- How to monitor live trading systems in quant?
- What security practices matter most in quant development?
- How to organise quant development teams?
- What does “quant dev” compatibility mean in practice?
Hire trusted Quantitative devs from Ukraine & Europe in 48h
Skip the hiring headaches and get trusted Quantitative developers who deliver results. Cortance has helped startups scale to million-dollar success stories.
Find your perfect Quantitative tech match
No available Quantitative at the moment
All our Quantitative are currently busy.
Leave a request for info — we'll notify you once a suitable one becomes available.
With Cortance's support, the client has improved project timing and caught up with their planned schedule. Cortance has demonstrated timely and efficient communication via email and other messaging apps. Their company culture and understanding approach are exemplary.
Thanks to Cortance's efforts, the client delivered the project on time. The team provided solid support and communicated primarily through virtual meetings, emails, and messaging apps. Their seamless integration and proactive problem-solving approach resulted in a positive partnership.
Looking for consultation? Can't find the perfect match? Let's connect!
Drop me a line with your requirements, or let's lock in a call to find the right expert for your project.
Questions About Specialized Skills
