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.

Here’s why structured data matters, key schema types to use and advanced techniques to boost visibility in rich results.

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.

Learn about the evolution of structured data in 2024 and its impact on SEO, from knowledge graph development to new data types.

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 ...

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

The growing use of Apache Hadoop, increasing data warehouse volume sizes and the accumulation of legacy systems in organizations are all factors fostering structured data growth.

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