Data lakes and data warehouses are two of the most popular forms of data storage and processing platforms, both of which can be employed to improve a business’s use of information. However, these ...

Big data tool vendors try to downplay the notion that data warehouses and data marts still need to exist, even in a big data world. Relational DBMSs are painted as 'old-fashioned,' 'yesterday,' and ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

The purpose of the aggregate tables is to optimize performance and increase data availability — both noble goals. However, these tables add to the size of the data warehouse and the complexity of ...