With virtually every Hadoop distribution vendor offering SQL-on-Hadoop solutions, the key factor in the market is now the integration between Hadoop and data warehouse technology. Read more »
Oracle is helping customers carry their database technology investments to the cloud, step by step, as I reviewed in my last post. In this post we take a look at a… Read more »
For IT decision-makers and architects, there is enough inexpensive memory capacity on mainstream servers for SQL DBMSs to be optimized around the speed of in-memory data rather than the performance constraints… Read more »
A confluence of major changes in computer hardware is disrupting a three-decade equilibrium in the design of SQL database management systems (DBMS’s). Memory is no longer precious compared to disk and… Read more »
IT decision makers today must manage data of varying volumes, velocity, and variety from one end of the enterprise to the other. For now at least, that requires several types of… Read more »
In the tsunami of experimentation, investment, and deployment of systems that analyze big data, vendors have seemingly been trying approaches at two extremes—either embracing the Hadoop ecosystem or building increasingly sophisticated… Read more »
The delivery of real-time query makes Hadoop accessible to more users. Its significance goes well beyond delivering a database management system kind of query engine that other products have had for… Read more »
Traditional applications had a common platform that captured business transactions. The software pipeline extracted, cleansed and loaded the information into a data warehouse. The data warehouse reorganized the data primarily to… Read more »