Meta’s $14.3 billion investment in Scale AI, the leading player in the AI data industry, was a very strange deal indeed. Meta acquired 49% of the company in the deal announced last Thursday ...

Businesses that fail to adapt to the changing data landscape risk falling behind their competitors, losing market share and missing out on new opportunities.

Use of real-world data in research demands that data pulled from electronic health records are accurate. New research from Ontada shows how doing a pilot ahead of the main chart abstraction ...

In the ever-evolving landscape of data management, two key concepts have emerged as essential components for organizations seeking to harness the power of their data: data marts and data lakes. While ...

Data modeling is the framework that lets data analysis use data for decision-making. A combined approach is needed to maximize data insights.

For example, using the keyword implements will make a Java interface, while the keyword extends makes an abstract class. Abstraction vs. encapsulation Encapsulation in object-oriented programming is ...

Data integration and data ingestion are two IT disciplines that are often confused. Here's how they differ and challenges you may encounter.

Physically copying the data from the different silos into another central repository takes time, effort, and money, and it requires a central IT team, who is not the subject matter expert in all data, ...

A data warehouse typically contains historical data that can be used to generate reports and analyze trends over time and is usually built with large amounts of data taken from various sources. The ...