Say it with me: your data will never be perfect. Any team striving for completely accurate data will be sorely disappointed. Data testing, anomaly detection, and cataloging are important steps, but technology alone will not solve your data quality problem. Like any entropic system, data breaks. And as we've learned building solutions to curb the causes and downstream impact of … [Read more...] about You Have More Data Quality Issues Than You Think: Here’s Why.
big data engineer
What’s Next for Data Engineering in 2023? 13 Predictions
What's next for the future of data engineering? Each year, we chat with one of our industry's pioneering leaders about their predictions for the modern data stack - and share a few of our own. A few weeks ago, I had the opportunity to chat with famed venture capitalist, prolific blogger, and friend Tomasz Tunguz about his top 9 data engineering predictions for 2023. It looked … [Read more...] about What’s Next for Data Engineering in 2023? 13 Predictions
5 Strategies For Stopping Bad Data In It’s Tracks
For data teams, bad data, broken data pipelines, stale dashboards, and 5 a.m. fire drills are par for the course, particularly as data workflows ingest more and more data from disparate sources. Drawing inspiration from software development, we call this phenomenon data downtime- but how can data teams proactively prevent bad data from striking in the first place? In this … [Read more...] about 5 Strategies For Stopping Bad Data In It’s Tracks
Data Innovation Summit ANZ
The Data Innovation Summit is the largest and the most influential annual Data and AI event represented across several regions, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics, in one place to discuss … [Read more...] about Data Innovation Summit ANZ
Data Swamps and The Tragedy of The Commons
A silent alarm rings in my head whenever I hear someone utter the phrase, "data is everyone's responsibility." You can just as easily translate this to mean that "data is no one's responsibility," too. This, readers, is what I call the "data tragedy of the commons." Here's why. The term tragedy of the commons comes from economic science and refers to situations where a common … [Read more...] about Data Swamps and The Tragedy of The Commons
