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
big data analytics
Long recognized as a must in the data-driven world, data governance has never been easy for big and tiny organizations alike. Today, the complexities associated with adopting data governance best practices are greater than ever. Data, both structured and unstructured, is arriving in increasing volumes from proliferating sources to be stored and processed on multiple platforms. … [Read more...] about Data Governance Best Practices – Where to Start
We live in a world that is driven by data, and companies that do not remain on top of their knowledge would just fall behind their competitors. Accessibility problems are no longer a valid excuse for not making use of the potential of analytics now that there are various solutions for data analysis available on the market. Having said that, the large variety of options … [Read more...] about How To Choose The Best Data Analytics Platform For Startups?
Data self-service, the ability for stakeholders in the organization to answer their own business questions with data, is a top initiative for nearly every data leader I've spoken to this year. It's so foundational to creating a data-driven organization, that most of the questions surrounding it focus on the "when" rather than the "why." That's why we were surprised to hear it … [Read more...] about Is “Self-Service” Data’s Biggest Lie?
At some point in the last two decades, the size of our data became inextricably linked to our ego. The bigger the better. We watched enviously as FAANG companies talked about optimizing hundreds of petabyes in their data lakes or data warehouses. We imagined what it would be like to engineer at that scale. We started humblebragging at conferences, like weight lifters talking … [Read more...] about I Don’t Care How Big Your Data Is