After establishing your EDM, your next major challenge is to define and refine the logical and physical structure of the data warehouse relational tables. This part will consider the limitations of ...

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 if the shape of data warehousing projects can come in extremes, their basic management blueprint will not be too dissimilar. And they invariably stem from a few common--and common sense ...

The Boston College Enterprise Data Warehouse (EDW) supports reporting and analytics over a broad spectrum of University data. Developed in 2003, the EDW has advanced in terms of content, information ...

The purposes of a data lake’s data are undetermined. Businesses can use the data for any purpose, whereas data warehouse data is already determined and in use. Hence why data lakes have more flexible ...

Many organizations nowadays are struggling with finding the appropriate data stores for their data, making it important to understand the differences and similarities between data warehouses, data ...

Input Tables create Sigma-managed tables within a user’s cloud data warehouse directly from typed user inputs, referenced drop downs, or large copy-and-pasted data.

Data lakehouses enable structure and schema like those used in a data warehouse to be applied to the unstructured data of the type that would typically be stored in a data lake.