Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Data is the backbone of business decisions in today’s rapidly evolving digital landscape. The exponentially increasing data and complex analytics have exposed the inadequacies of the traditional data ...

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 ...

Business intelligence is the process of analyzing company data to better understand that data, spot anomalies or trends and make predictions. It's possible to do analytics on individual systems -- ...

Data warehousing has been an important part of the data architecture and IT infrastructure of many organizations for almost 30 years. But despite its heritage, confusion has besieged the data ...

Men work at a distribution station in the 855,000-square-foot Amazon fulfillment center in New York City, (Photo by Johannes EISELE / AFP) (Photo credit should read JOHANNES EISELE/AFP via Getty ...

Data warehouses may seem like a trip down memory lane, or just a clunky data store. But if we look closely at data warehouse projects, the goals - and results - remain relevant. Most clients I speak ...

A startup called Definite reckons it can help businesses to do away with their clunky big-data stacks and business intelligence tools after raising $10 million in seed funding today. The round was led ...

When an advisory firm needs a piece of technology for a certain function, the most common path is to buy a piece of software "off the shelf" from an outside software provider and plug it into the firm ...

Data lakes act as data catch-alls, similar to how natural lakes catch and store rain and run-off from surrounding hills. Data lakes are mostly “unstructured,” meaning data flows in from various ...