It’s a fact of storage life that hardware comes and goes. Storage systems need upgrading, capacity needs to be expanded, and there is always a new technology on the horizon. Through nearly a decade of changes and updates, DataCore has been the constant
Earlier this month, we took a look back at our top five blogs, whitepapers and webinars of 2017 as we embarked on 2018 as a time to strategize and outline business plans for the year ahead. We got such a great response to the series that we wanted to put all of the resources in one place for our readers – enjoy!
In today’s competitive business environment, it’s digitize or die. Companies are no longer investing in individual IT projects for cost and operational savings, but instead are integrating digital technologies and tools into all areas of business.
As discussed in a previous blog post, companies are finding that their analytical applications are slowing down as they add more data to the mix.
Companies have attempted to address this performance issue by upgrading their hosts to powerful multi-processor / multi-core systems with lots of RAM. But, the performance
The cloud. It’s where everybody wants to put everything, but the fact is, there are some applications that need to remain on premise. These applications face obstacles – latency, intermittent connectivity, and regulation requirements, among others – that prevent them from moving fully to the cloud. As a result, hybrid cloud technologies will continue to grow in importance in the year ahead.
As a database professional, you know the standard procedure when one of your SQL servers is slow; collect data and identity bottlenecks, then modify queries, indexes or pertinent configurations to try to speed things up. If you can go through this process quickly, test your changes, deploy your solution to production, and verify that it all works, great. Everyone is happy and you are the hero.
As companies transform themselves by utilizing a mix of digital technologies, they are faced with increasing amounts of data. From additional data sources (such as social media for a consumer oriented company or sensor data for a manufacturing company) to leveraging more historical data