More data allows for better and more expansive analysis. And better analysis is a critical success factor for businesses today. But most data warehouses use the once-in-never-out principle when storing data. So whenever new business activities occur
I recently wrote about how Cisco is helping customers more effective manage massive amounts of data, types of data and unprecedented distribution of data. This will be one of the toughest challenges brought on by the Internet of Everything (IoE) and
In our previous big data blogs, my Cisco associates have focused on the topic of building the best infrastructure for long-term success with big data. I’d like to start a new chapter in the series, focusing on building the right data strategy and
Enterprise Management Associates (EMA) is a leading industry analyst firm that provides deep insight across the full spectrum of IT and data management technologies. EMA analysts, including Shawn Rogers who guides EMA’s Business Intelligent Research
Data in data warehouses doubles every 2.5 years. For users, this means more data to analyze, leading to better business outcomes. That’s the good news. The bad news is that this extra storage capacity and computing power comes at a cost. A high
