OpTier Big Data Analytics cuts time and cost of analytics; gives clients quality contextual data.
In some cases, data might be more valuable as a marketable product than as grist for internal analysis.
I recently had both the privilege and pleasure to do a deep dive into the cold and warm BI waters in Russia and Israel. Cold - because some of my experiences were sobering. Warm - because the reception could not have been more pleasant. My presentations were well attended (sponsored by www.in4media.ru in Russia and
Open source integration specialist Talend says it's all-in on Hadoop and MapReduce
Big data introduces uncertainty and changing business requirements, but having the right processes in place to guide engagements can help smooth the way to success.
As real-time operation becomes a more prominent business requirement, don't forget data replication.
Imagine a big data project in which old-tech tools such as relational databases and enterprise applications are prominent players. It's more popular than you might think, according to a new survey.
In a recent media interview I was asked about whether the requirements for data visualization had changed. The questions were focused around whether users are still satisfied with dashboards, graphs and charts or do they have new needs, demands and expectations.
Arguably, Ancient Egyptian hieroglyphics were probably the first real "commercial" examples of data visualization (though many
Even if their existing data warehouse architecture satisfies current requirements, organizations need to be prepared to address their future needs.
Is it time to re-examine and reengineer how you create, read, update, and delete data in your enterprise? These tips will help you get off to a great start.