Big data isn’t dead; it’s just going incremental If you keep an eye on the data space ecosystem like I do, then you’ll be aware of the rise of DuckDB and its message that big data is dead . The idea comes from two industry papers (and associated data sets), one from the Redshift team ( paper| Jack Vanlightly
No, this article is not about buying properties close to lakes...| tobilg.com
A decade ago, there was a sudden surge of high-performance in-memory systems dominating the world of interactive analytics. Today, almost everyone has gone back to using persistent storage. Does this mean that building these in-memory systems was a mistake?| CedarDB - The All-In-One-Database
What really matters is the quality of the data, the data literacy at the organization, and the motives behind using data analytics.| Machine Learning for Developers
How to set up a complete Modern Data Stack (MDS) using open-source tools. Data extraction, storage, modeling, and scheduling on a single, secure machine.| Canonicalized
Imagine working for a company that processes a few GBs of data every day but spends hours configuring/debugging large-scale data processing systems! Whoever set up the data infrastructure copied it from some blog/talk by big tech. Now, the responsibility of managing the data team's expenses has fallen on your shoulders. You're under pressure to scrutinize every system expense, no matter how small, in an effort to save some money for the organization. It can be frustrating when data vendors ch...| www.startdataengineering.com