Automating Elaborate-Transform-Load for Busy Data Scientists
Please log in to watch this conference skillscast.
Haskell is making great strides into processing data at greater convenience. You do not only have fast parsers for most important languages, but now automatic parser generators that discover the structure of our documents and package them as Haskell types: DataFrames, JSON Autotype, XML TypeLift.
Michał will present a tutorial on how to roll your own data ingestion pipeline in fifteen minutes. Then he will dive into a bit of methodology so that the thirsty has a map of materials to look further into.
YOU MAY ALSO LIKE:
- Lightning Talk: Making and Testing Code Generators in Haskell (SkillsCast recorded in October 2019)
- Haskell eXchange 2020 (Online Conference on 4th - 5th November 2020)
- Post Quantum Cryptography Apocalypse (SkillsCast recorded in September 2020)
- Ceci n’est pas un canard - Machine Learning and Generative Adversarial Networks (SkillsCast recorded in August 2020)
Thank you to our sponsors and partners
Platinum
Gold
Silver
Bronze
Automating Elaborate-Transform-Load for Busy Data Scientists
Michał Gajda
Michał got PhD in structural bioinformatics pipelines, and after two postdocs in top research facilities moved on to use his expertise of data analysis platforms in commerce. After a stint in a bank, and fintech startup, he founded his own company.