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Alex Woodie is the managing editor of BigDATAwire (formerly Datanami).
With $20M in Seed Funding, Datafy Advances Autonomous Cloud Storage Optimization As cloud storage costs quietly drain enterprise budgets, most solutions still require too much effort and cost for too ...
Data scientists spend about 45% of their time on data preparation tasks, including loading and cleaning data, according to a survey of data scientists conducted by Anaconda. The company also analyzed ...
At first glance, the data fabric and the data mesh concepts sound quite similar. Meshes are often made from a type of fabric, after all, and they are both malleable items that can be lain atop ...
When Oakland A’s General Manager Billy Beane adopted Sabermetrics with his 2002 and 2003 teams, he popularized what became known as the Moneyball 1.0 era.
If your company is looking to hire data scientist right now, good luck. Five years after Harvard Business Review first shone the spotlight on the data scientist shortage, the gap between data science ...
In fact, storing data in Hadoop using those raw formats is terribly inefficient. Plus, those file formats cannot be stored in a parallel manner. Since you’re using Hadoop in the first place, it’s ...
2024 marks the ninth year of Datanami’s – now BigDATAwire‘s – People to Watch Program, which recognizes the people who play leading roles in driving innovation in big data, advanced analytics, and AI.
During a presentation at Nvidia’s GPU Technology Conference (GTC) this week, the director of data science for Walmart Labs shared how the company’s new GPU-based demand forecasting model achieved a ...
About Tabor Communications, Inc. Tabor Communications, Inc. is publisher of a complete advanced computing news and information portfolio that includes HPCwire,BigDATAwire, and AIwire. As the company’s ...
Matei Zaharia, the creator of Spark and CTO of commercial Spark developer Databricks, shared his views on the Spark phenomena, as well as several real-world use cases, during his presentation at the ...
The hottest space in big data at the moment arguably exists between the two pillars of AIOps and observability, where a crush of metric, event, log, and trace (MELT) data threatens to overwhelm IT ...