Data warehouses are large storage locations for data that you accumulate from a wide range of sources. The next step up from a database is a data warehouse. ( Learn more about the key difference in databases: SQL vs NoSQL.) What’s a data warehouse? Creating reports for financial and other data.
Arguably, you could consider your smartphone a database on its own, thanks to all the data it stores about you.įor all organizations, the use cases for databases include: We usually think of a database on a computer-holding data, easily accessible in a number of ways. What’s a database?Ī database is a storage location that houses structured data. Let’s start with the concepts, and we’ll use an expert analogy to draw out the differences. Define databases, warehouses, and lakes.Data lakes and data warehouses are very different, from the structure and processing all the way to who uses them and why. But for big data, companies use data warehouses and data lakes.ĭata lakes are often compared to data warehouses-but they shouldn’t be. For the lay person, data storage is usually handled in a traditional database. Data companies are in the news a lot lately, especially as companies attempt to maximize value from big data’s potential. Automated Mainframe Intelligence (BMC AMI)ĭata storage is a big deal.Control-M Application Workflow Orchestration.Accelerate With a Self-Managing Mainframe.Apply Artificial Intelligence to IT (AIOps).
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