Have you ever tried driving real-time updates to customers from your data warehouse? Or optimized a conversion funnel using real-time data? If so, you’ve probably suffered the pain of pushing your ...

During the past 50 years, the developed world has moved from an industrial economy to an information economy. Companies now compete on their ability to absorb and respond to information, not just ...

Stop spending on the ever-growing list of data technologies, and simplify your architecture with a single Streaming Data Warehouse Who has the most pivotal role in your company? Is it your CEO? Is it ...

A management guide of how enterprises can build an effective data warehouse. The term data warehouse is an ambiguous one. This is because applied in different contexts, data warehouses can take on ...

If you're not analyzing all the data collected by your ERP (enterprise resource planning) and CRM (customer relationship management) solutions, it might as well be collecting dust on a shelf.

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More A data warehouse is defined as a central repository that allows ...

A data warehouse is a central repository of corporate data derived from operational systems and external data sources. The main function of a data warehouse is to support strategic business decisions ...

It’s felt obvious for some time that, as an industry, we’ve been trying to shove square data warehousing tools into round, data-driven application holes. But it wasn’t until I read Decodeable CEO Eric ...

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 ...

Alexandra Twin has 15+ years of experience as an editor and writer, covering financial news for public and private companies. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...