Oracle today announced the availability of Oracle Big Data Appliance X3-2 Starter Rack and Oracle Big Data Appliance X3-2 In-Rack Expansion. Oracle Big Data Appliance X3-2 Starter Rack enables customers to jumpstart their first Big Data projects with an optimally sized appliance. Oracle Big Data Appliance X3-2 In-Rack Expansion helps customers easily and cost-effectively scale their footprint as their data grows. [Read more...]
Oracle today announced the availability of Oracle Exalytics In-Memory Machine, the industry’s first high-speed engineered system featuring in-memory business intelligence (BI) software and hardware to deliver extreme performance for analytic and performance management applications. [Read more...]
You can still hand-code an extract, transform and load system, but in most cases the self-documentation, structured development path and extensibility of an ETL tool is well worth the cost. Here’s a close look at the pros and cons of buying rather than building.
By Joy Mundy
The Extract, Transformation, and Load (ETL) system is the most time-consuming and expensive part of building a data warehouse and delivering business intelligence to your user community. [Read more...]
Oracle today unveiled the Oracle Exalytics Business Intelligence Machine, the industry’s first in-memory hardware and software system engineered to run analytics faster than ever, provide real-time speed-of-thought visual analysis, and enable new types of analytic applications. [Read more...]
For the last three months of 2010 Passionned have run a poll on their ETLtool.com site asking visitors what they thought were the most important requirements when choosing an ETL tool. The ETLtool.com site has been running since 2005 and advises visitors on the various ETL (data integration) tools available, what their strong and weak points are, how to choose an ETL tool and sells a 50 page report where popular products are analyzed and compared to facilitate choosing the right product for individual circumstances. [Read more...]
By Bill Inmon
Some topics just never seem to die, however much their demise is deserved. When you think you have heard the last of something, here it comes again, just like a bad penny.
Recently, I was at a conference, and I heard the following discussion about what a data warehouse was. One person suggested that a data warehouse was really all the old legacy systems connected by software that could access the data. By calling such a contraption a data warehouse, the organization could avoid having to do the hard and complex work of integration.