Data lake vs. data warehouse: Which is right for me? A data lake is a centralized repository that allows companies to store all of its structured and unstructured data at any scale, whereas a data ...

At the 2nd Annual Semantic Layer Summit, which took place April 26, AtScale founder and CTO Dave Mariani sat down with Bill Inmon, recognized by many as the father of the data warehouse, to discuss ...

A data lake is not a direct replacement for a data warehouse; they are supplemental technologies that serve different use cases with some overlap. Most organizations that have a data lake will also ...

I work at a startup and our data is very messy at the moment, as you might imagine. We have a few product level transactional databases, but no central database to store it all in a useful way for ...

The “data” part of the terms “data lake,” “data warehouse,” and “database” is easy enough to understand. Data are everywhere, and the bits need to be kept somewhere. But should ...

What Is The Difference Between Big Data And Data Warehousing? Data-warehouse is a collection of data marts representing historical data from different departments in an organization. There is also a ...

We asked experts to help us shed light on the differences between a data lake and a data warehouse and what that means for your organization. Big data is here, and it’s getting bigger by the day ...

Should Your Institution Use a Data Warehouse or Data Lake? Maybe you’re not sure whether to shop for a data warehouse or a data lake. Consider that data warehouses and data lakes are not mutually ...

This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse ...

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 ...