Structured DB services in telecom are well established from an architecture and service model perspective. Telecom structured data sources are many and varied.

The data can be grouped into three categories: structured, unstructured, and semi-structured. Big Data is characterized by its volume, variety, and velocity.

Quantzig breaks down the distinct differences between structured and unstructured data in its recent article.

Data sources and types are exploding as mobile, the Internet of things and social produce exabytes of structured and unstructured data, commonly known as “big data”.

From tracking sanctions to fact-checking elections, the world’s largest free knowledge graph is proving that open data beats ...

Combining operational data from other sources — particularly Big Data sets — is generating a lot of discussion as a “next step” for companies investing in Big Data. So it’s not surprising that Pentaho ...

Big Data analytics requirements have forced a huge shift in data storage paradigms, from traditional block- and file-based storage networks to more scalable models like object storage, scale-out NAS ...

You may not have structured all the data already. But then, all the digital, papers, structured, and non-structured data with your company is now Big Data.

The evolving landscape of NoSQL databases and NoSQL database management systems (NoSQL DBMS) has everything to do with Big Data analytics.

Learn how to improve the governance of unstructured data. Keep data organized, and ensure the effective and efficient use of information.