Today databases and data warehouses are not only systems for reliable storage and processing of service information. One of the most attractive features of big data technologies is the cost of storing ...

Database virtualization should be viewed as a critical weapon in the IT leader’s quiver to attack migration challenges when an efficient way to migrate data to the cloud is called for.

Snowflake shares jumped about 19% on Thursday riding a wave of demand for the firm's artificial intelligence database products, as companies race to modernize their data infrastructure and simplify AI ...

Without the data warehouse, gathering information from legacy databases and applications and using it to generate reports for decision-making becomes a mess. Importance and benefits of data ...

OLAP explained OLAP databases are designed to speed up multidimensional analysis on large volumes of data from a data warehouse or data mart. High-speed analysis can be accomplished by extracting ...

If you're looking for a quick and easy way to leverage ana­lytics focused on a specific topic, look no further. During his BLUEPRINT 4D session, Patrick Wheeler, product management, Oracle Database, ...

I talk to a lot of different businesses about their data, and, without fail, some form of the same question always comes up: “What is the most common reason you see data warehouse projects ...

ByConity, the name of ByteDance’s data warehouse, is an elastically scalable, column-oriented relational database that’s based on ClickHouse, the scalable, open-source database that the Russian media ...

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 ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that ...