Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

Few things are as synonymous with warehouses in the retail and e-commerce sectors as the sorters and conveyors that move the right products to the right location with speed and accuracy. Perhaps more ...

• The exploratory growth in data sets across industries have prompted businesses to focus more on the effective management and utilization of data • Traditional data warehousing systems are witnessing ...

The digitization of the modern business enterprise has created a seemingly never-ending stream of raw data. Gleaning actionable nuggets of information from terabytes upon terabytes of data requires ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...

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 ...

For decades, distributors relied on systems that were built for stability, not speed. Legacy ERPs, custom spreadsheets, and disconnected sales tools worked well enough when markets were predictable ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...

Yellowbrick Data emerged from stealth this week, unveiling its all-flash analytics and data warehouse appliance that the startup says is magnitudes smaller and faster than current data warehouse ...