Sample & Test Data for Data Warehousing

Sample & Test Data for Data Warehousing

For those of use who like to learn and experiment, sample data is a must.
In this post, I’m linking to and summarising some sample data sets which are shared with licenses allowing people to use and reuse them with a lot of freedom.

Taming the Snowflake: Strategies to Slash Your Cloud Data Warehouse Costs

Taming the Snowflake: Strategies to Slash Your Cloud Data Warehouse Costs

My experience with Snowflake spans several different organizational contexts, it’s power in scaling to meet business data requirements is closely followed by how the costs can similarly scale. This post explores practical strategies to help you reduce your Snowflake costs without sacrificing performance. Starting with general guidance, then dipping into technical strategies including dbt specific packages and approaches.

AI Generated Content Testing: Running Oracle SQL & PL/SQL: Free Online Execution environments compared

AI Generated Content Testing: Running Oracle SQL & PL/SQL: Free Online Execution environments compared

While writing my previous post on Running Oracle SQL & PL/SQL: Free Online Execution environments compared I decided to do a comparison between using AI to generate content, and writing the article myself. I had previously as an experiment used AI to write much of my post on my Gmail Clean-up post.

I used both Gemini and ChatGPT (both outputs below for comparison).

Data loading, with the help of AI

Data loading, with the help of AI

In today’s fast-paced development world, efficiency is paramount. AI can significantly accelerate the coding process, including the creation of scripts to interact with various data formats. This blog post will explore how to use AI assistance to generate Python code for loading a custom XML file.

Gmail Clean-up

Gmail Clean-up

Not so much Data & Database, but useful advice for managing a Gmail account once the storage gets a bit full (and Google suggests paying for storage).