We examine the challenges organizations grapple with in the complexities of the modern data stack and look toward a sixth data platform, one assembled from modular, multivendor components. Dbt Labs ...

Hosted by the Metadata Research Center at the College of Computing & Informatics (CCI) at Drexel University, Metadata Mixers offer speakers, lightning talks and discussions at the cutting edge of ...

DNA-based data storage appears to offer solutions to some of the problems created by humanity’s ever-growing capacity to create data we want to hang on to. Compared to most other media, DNA offers ...

New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...

In the process of gathering data for secondhand use, such as data warehouses and their many variants, organizations picked and chose pieces of data that fit their idea of what was needed to support ...

Develop interdisciplinary skills in data science and gain knowledge of statistical analysis, data mining, and machine learning from one of the nation’s top-ranked Tier 1 research institutions. Earn ...

The Michigan Tech Data Science MS provides a broad-based education in data mining, predictive analytics, cloud computing, data-science fundamentals, communication, and business acumen. You'll gain a ...

In an era when data-driven decisions and systems influence every sector of business and society, talented professionals who bring an ethical framework to data science are more in demand than ever. The ...

Data Science is a structured approach to extracting valuable insights from data, and it involves several key stages to ensure success. Let's explore each phase in detail: By following this structured ...