Once you've decided to implement a new data warehouse, or expand an existing one, you'll want to ensure that you choose the technology that's right for your organization. This can be challenging, as ...

Database vs Data Warehouse vs Data Lake comes down to how data is stored, processed, and used. A database is typically built for transactional work with live, detailed data stored in tables, while a ...

When I listed 5 data management technologies you probably should know more about, two of them were data warehouse appliances and columnar DBMS. And that was before today’s announcement that Microsoft ...

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 should they be stored in a ...

Numerous options exist for buying a data warehouse platform. Although evaluating them need not be a complicated process, taking the appropriate steps will help to ensure that you invest in the best ...

As businesses push to reduce the data latency between analytical systems and operational systems, data warehouses begin to take on more of the character of a transactional system. For a data warehouse ...

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, ...

This week, Oracle announced a major extension of its cloud-based Autonomous Data Warehouse service that transforms it into an end-to-end offering with a heavy dose of self-service for business users.

Here’s the new Gartner Magic Quadrant for Cloud Database Management Systems, which ranks the top 20 global leaders in the market—from AWS, Microsoft and Oracle to Snowflake, SAP and Databricks. The 20 ...

Promising that developers can "save weeks of development effort," Microsoft today answered their request for database project support in Visual Studio to target Azure SQL Data Warehouse projects.