- Build a synthetic data pipeline using Gretel and Apache Airflow - Sep 2, 2021.
In this blog post, we build an ETL pipeline that generates synthetic data from a PostgreSQL database using Gretel’s Synthetic Data APIs and Apache Airflow.
Airflow, Pipeline, Postgres, SQL, Synthetic Data
- 5 Most Useful Machine Learning Tools every lazy full-stack data scientist should use - Nov 18, 2020.
If you consider yourself a Data Scientist who can take any project from data curation to solution deployment, then you know there are many tools available today to help you get the job done. The trouble is that there are too many choices. Here is a review of five sets of tools that should turn you into the most efficient full-stack data scientist possible.
Data Science Tools, Data Scientist, GitHub, Heroku, Machine Learning, Postgres, PyCharm, PyTorch, scikit-learn, Streamlit
- The Most Useful Machine Learning Tools of 2020 - Mar 13, 2020.
This articles outlines 5 sets of tools every lazy full-stack data scientist should use.
Applications, GitHub, Machine Learning, Postgres, PyCharm, Tools
- Why physical storage of your database tables might matter - May 31, 2019.
Follow this investigation into why physical storage of your database tables might matter, from problem identification to possible issue resolutions.
Apache Spark, Databases, Postgres, SQL
- Simple Tips for PostgreSQL Query Optimization - Jun 22, 2018.
A single query optimization tip can boost your database performance by 100x. Although we usually advise our customers to use these tips to optimize analytic queries (such as aggregation ones), this post is still very helpful for any other type of query.
Optimization, Postgres, SQL, Statsbot
- For GPU Databases of today, the big challenge is doing JOINS - Mar 2, 2018.
While some GPU database problems have been solved, one challenge remains that only one vendor has tackled properly and that is fast SQL joins on GPU.
Brytlyt, Database, GPU, Postgres
