Unstructured data is information that does not have a pre-defined structure. It’s one of the three core types of data, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as…

Modern enterprises are changing their approach toward data warehousing due to rapidly evolving business environments and a massive influx of data being generated every day. Enterprises will soon be responsible for creating and managing 60% of the global data. Traditional…

Kimball-style dimensional modeling has been the go-to architecture for most data warehouse developers over the past couple of decades. The denormalized nature of these schemas, coupled with optimization for history maintenance, makes the dimensional model an ideal tool for the…

95% of businesses cite the need to manage unstructured data as a problem for their business.

Most enterprises out there rely on a data warehouse as a single source of truth — a consolidated data repository that serves as a reporting layer for companies to identify trends and gain valuable business insights. However, to maximize performance…