In 2017, the third largest consumer credit agency in the world was victim of one of the largest ever data breaches on record. In this week's Data Radio Show, Ignition's Julien Redmond talks with Equifax's Bob Sparshatt about what happened, what was learned and how it impacted the wider publics's understanding of what data is held on them.

There are so many tools out there, but I found this video on YouTube. It did a good job of breaking down the essentials. Here's a quick list of the tools mentioned: - Basics: SQL, Python, Linux, bash scripting, network understanding - Technical Basics: Git, SFTP, PGP - Databases: PostgreSQL, MySQL, MongoDB - Data Platforms: Snowflake, Databricks, BigQuery, Redshift, Azure Synapse Analytics - Orchestration, ETL & Data Pipelines: Airflow, Dagster, SSAS, Azure Data Factory - Cloud: AWS, Azure, GCP - Others: Docker, Kubernetes, Terraform If you had to give advice on where to start, what would that be? What are your favored tools?

Check out this audio version of the top story from DataPro.news https://www.datapro.news/p/adapting-data-governance-age-llms We discuss the key considerations in Data Governance as Enterprises adopt LLM's. Let me know anything you liked!

Hi All - I have just joined after completion of Data Vault 2.0 Bootcamp.

Like a few others in the community, I will be attending Scalefree’s Data Dreamland conference in Hannover September 23rd and 24th! I will be presenting on optimizing data architecture through a hybrid Data Fabric and Data Mesh approach. If you haven't yet, get your tickets here: https://lnkd.in/ebqPAXjw 🎙️Combining Data Fabric and Data Mesh: Advancing Data Management with Hybrid Architecture 📅 Tuesday, September 24th 🕦 11:30 AM