Cisco Data virtualization

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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, new data is added without removing old data to make room. New data sources, such as data from […]

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According to Dr. Barry Devlin, amongst the foremost authorities on business insight and one of the founders of data warehousing, “Data without context is meaningless. It is also valueless. Without a well-understood business context, any derived information and subsequent decisions are open to multiple interpretations or, worse, misinterpretation. It is the context—and, by extension, a […]

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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, with solutions such as Data Virtualization and Big Data Warehouse Expansion, Cisco is enabling […]

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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 analytics solutions. Today, people, process, data and things function together through a […]

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Enterprises are seeking ways to improve their overall profitability, cut costs, reduce risk and more through better leverage of their data assets. Significant volumes of complex, diverse data spread across various technology and application silos make it difficult for organizations to achieve these business outcomes. To further complicate matters, there is a range of problems […]

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Historical data is now an essential tool for businesses as they struggle to meet increasingly stringent regulatory requirements, manage risk and perform predictive analytics that help improve business outcomes. While recent data is readily accessible in operational systems and some summarized historical data available in the data warehouse, the traditional practice of archiving older, detail-level […]

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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 cost it turns out. So what is an enterprise to do? Keep […]

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It has been a great year for Data Virtualization at Cisco Live!   Milan, Melbourne, and Toronto were fantastic opportunities to introduce Data Virtualization to Cisco customer and partner audiences.  And...

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By now it is clear that big data analytics opens the door to unprecedented analytic opportunities for business innovation, customer retention and profit growth. However, a shortage of data scientists is creating a bottleneck as organizations move from early big data experiments into larger scale adoption. This constraint limits big data analytics and the positive […]