This repository contains material for a hands-on tutorial and additional content about data science in wind resource assessment. The tutorial was held on 2020-03-11 at the PyData San Diego Meetup.

The evolution of the ETL ecosystem AI/ML functionality within ETL tools Conclusion: more AI to come Frequently asked questions (FAQ) We live in an age of change and scale. As of 2025, there are ~100 ...

In today's data-driven world, businesses generate and collect an enormous amount of data every day. But having all this data isn't enough; you need to make sense of it. This is where data warehousing ...

An ETL Data Pipelines Project that uses AirFlow DAGs to extract accessories and jewelry data from PostgreSQL Schemas and the shoes data from a CSV file, load them in AWS Data Lake, transform them with ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

We are excited to announce the general availability of SQL Server 2017 and Machine Learning Services. You can start using Python-based in-database Machine Learning Services for production usage now.