The Race to Ensure Post Quantum Data Security Fault-tolerant quantum computers won’t exist for years – a decade is the most common estimate. When they do arrive, thanks to Shor’s now-famous algorithm, ...

One of the hottest areas of big data at the moment is log monitoring and its adjacent disciplines, AIOps and cloud observability. The market, which some estimate is worth $17 billion per year, is in ...

AWS has notified customers of its Amazon Aurora Serverless v1 service that it will cease supporting the offering at the end of 2024. Replacing v1 in the Aurora Serverless range, which supports ...

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 ...

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.

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 ...

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 ...

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 ...

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 ...

There's no lack of database choices when it comes to building your next big data analytics platform. Relational data stores, column-oriented databases, in-memory data grids, graph databases, scale-out ...

Anaconda created a stir over a year ago when it began charging large commercial users a fee for access to its popular collection of Python tools. The change, it said, was necessary to offset the costs ...