The Data Quality Flywheel
The more people that are looking at the data, and the more apps that are using the data, the faster data quality issues will be identified and resolved.
Always keen on exploring the ever-changing world of data
The more people that are looking at the data, and the more apps that are using the data, the faster data quality issues will be identified and resolved.
Data Quality Meetup brings together professionals from data-driven teams and the open-source community to share and learn the best practices around data quality & governance. This is the digest of our second event.
Over the past 10 years, we've seen a great advancement in technologies and tools for analytics and machine learning: with today’s modern analytics stack, we have fast and scalable data warehouses, dirt-cheap data storage, capable ETL orchestrators, and powerful BI tools.
Unlocking the next level with most popular ETL orchestrator
Put a comma in the right place
How not to frustrate yourself by going open-source for the wrong reasons
Objective criteria and subjective advice
Picking tools for every step in the data flow