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

According to realtimecampaign.com, unstructured data comes with no identifiable structure and lacks conformity to any data model, which is why computer programs struggle to use it. There’s no ...

Allowing quality data in can lead to a better understanding of an organization. Read more to improve your data quality for unstructured data.

Unstructured data exists in huge volumes, but often actually it is semi-structured with metadata. We lift the lid on unstructured data and key approaches to its storage.

When storing big data, data lakes and data warehouses have different features. Data warehouses store traditional transactional databases and store data in one table with structured columns.

We look at alternatives to relational databases that have emerged to help bring some structure to unstructured data and gain valuable insight by making it semi-structured.

Today, and for the foreseeable future, the clean and well-structured data that we tend to focus our analyses upon is swamped by a mass of unstructured 'supporting' material.

It has never been more important for businesses to understand the difference between unstructured and structured collaboration. Finding the sweet spot in between the two can boost productivity in a ...

Unstructured data is created at an incredible rate each day and with the advent of artificial intelligence and machine learning tools to gather, process, analyze and report insights from ...

We asked experts to help us shed light on the differences between a data lake and a data warehouse and what that means for your organization.