Steve ET @steve-et.bsky.social · 08/11/2024+ Build an understanding of the idiosyncrasies of data, know where the ‘dragons’ lie in data +expand your horizons to governance, quality and data architecture. 010
Reposted by Steve ETJoey D'Antoni @joeydantoni.com · 01/11/2024New Post: Optimizing Microsoft Fabric: Overcoming Common Challenges with Bursting and Monitoring joeydantoni.com/2024/11/01/o...joeydantoni.comOptimizing Microsoft Fabric: Overcoming Common Challenges with Bursting and MonitoringMicrosoft Fabric is touted as a software as a service platform—with a single price, providing several different modern business intelligence solutions like data lakehouse, massively parallel data w… 031
Steve ET @steve-et.bsky.social · 29/10/2024Definitely high up the list … to recognise early that the risk of duplicates, out of order, or just plain wrong data only ever trends towards zero … but rarely gets there beyond the boundaries of that very impressive Proof of Concept… 010
Steve ET @steve-et.bsky.social · 29/10/2024To anyone starting out in Data Engineering, lesson number 1 in my view should be … no matter what you read … the medallion ‘architecture’ is just a guiding concept. It’s not a design or a solution. #dataengineering #data #mediallionarchitecture 121
Steve ET @steve-et.bsky.social · 28/10/2024Wanted my first post to be something worthwhile, and sharing something I came across today seems like a good candidate … www.nature.com/articles/s43... #ai #genai #sustainabilty #ewastenature.comE-waste challenges of generative artificial intelligence - Nature Computational ScienceGenerative artificial intelligence (GAI) is driving a surge in e-waste due to intensive computational infrastructure needs. This study emphasizes the necessity for proactive implementation of circular... 020
