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.

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 ...

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, ...

The difference between a data warehouse and a data lake is that a data lake stores data in its natural format, often blobs or files, while a data warehouse stores data as a database. Snowflake in ...

Part 5 of CRN’s 2023 Big Data 100 takes a look at the vendors solution providers should know in the data warehouse and data lake systems and services space.

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 ...

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 ...

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 ...