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Aligning Solutions to Meet our Customers’ Data Challenges


October 9, 2014 - 0 Comments

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 combination of machine-to-machine, person-to-machine and person-to-person connections. We call this the Internet of Everything (IoE). While the IoE is making us all smarter, it is also creating more data, more types of data and in more places.

This wealth of data comes with major challenges but also has the potential for amazing opportunities. At Cisco, we’re all about helping our customers turn these challenges into opportunities. The first step begins with proper management of the massive amounts and types of data in multiple locations. From a solutions perspective, that first step is our agile data integration software, Cisco Data Virtualization. It abstracts data users need from multiple different sources and brings it together to give users a unified, friendly view of the data.

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By leveraging this technology with additional solutions, our customers can access data across the IoE and use that data to respond quickly to change, make better decisions and gain a competitive advantage. Driven by the massive amounts of data in today’s IT environment, customers are facing huge expenses to add capacity to their existing enterprise data warehouses (EDW), the place where data is traditionally stored.

We help customers tackle the challenge of increasing enterprise data warehouse costs with Cisco Big Data Warehouse Expansion (BDWE). BDWE identifies infrequently used data and provides a methodology and tools to offload the data onto Hadoop, avoiding additional capacity costs and extending the life of the data warehouse.

I spoke with a customer recently who shared that one terabyte (TB) of data in an EDW costs $100,000 per year to maintain. That exact same amount of data for the same amount of time in Hadoop only costs $1,000 to maintain. This is a significant difference. By implementing an ongoing strategy to offload data from the primary system to Hadoop, our solution frees up resources to be utilized in more strategic ways. Additionally, we deploy Data Virtualization to act as a ‘virtual database,’ to access data regardless if it resides in the original warehouse or the new Hadoop data store. So not only does BDWE significantly lower costs, but the historical data remains easily accessible.

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Our customers gain the business insights and outcomes they seek with a complete suite of software, hardware and services solutions that access and analyze data, no matter where it is stored on the network. After all, the power of data is not just in the ability to access it but to use it to change behavior or the way you run your business.

Not only do we connect more people, processes, data, and things than any other company, we can also bring analytics to data wherever it is—no matter how remote—to turn information into insights almost instantly. More to come in my next blog about Cisco’s analytics portfolio and how its helping tackle the next major IoE challenge, extracting value insight from your data.

 

Learn More

To learn more about the benefits of Cisco analytics solutions and the power of our integrated infrastructure for big data, please join us for a webcast at 9 AM Pacific time on October 21st entitled ‘Unlock Your Competitive Edge with Cisco Big Data and Analytics Solutions.’ #UnlockBigData

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To learn more about Cisco Data Virtualization, check out our page.

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