LONDON--(BUSINESS WIRE)--Quantzig, a global data analytics and advisory firm, that delivers actionable analytics solutions to resolve complex business problems has announced the completion of its ...

LONDON--(BUSINESS WIRE)--Quantzig, a leading analytics advisory firm that delivers customized analytics solutions, has announced the completion of its free resource that highlights the importance of ...

Traditionally, enterprise data has been kept in information silos that are physically separate from other data repositories and serve specialized functions. Enterprise-wide reporting was difficult at ...

This course covers the foundations of data warehousing and data mining, and then explores how these technologies convert information into knowledge. Data warehousing is compared and contrasted with ...

In the beginning, there were mainframes - computer behemoths that occupied whole rooms and buildings, churning, blinking, beeping and droning, storing information and eventually producing oversized ...

THE ASP (APPLICATION service provider) model is rapidly emerging as an alternative for companies looking to warehouse and mine their data in a more cost-effective manner. Enterprises are also favoring ...

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and the data ...

Data mining isn’t just techno-speak for messing around with a lot of data. Data mining doesn’t give you supernatural powers, either. Data mining is a specific way to use specific kinds of math. It’s ...

Essentially, a data warehouse is an analytic database, usually relational, that is created from two or more data sources, typically to store historical data, which may have a scale of petabytes. Data ...

If there's one obvious prediction that bore out over the course of what was otherwise a very unpredictable year, it was the acceleration in the adoption of cloud computing. Just look at the continued ...