Where We’ve Been
When Judith Davis and I co-authored Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility in 2011, we identified the five most popular Data Virtualization usage patterns at that time.
“Data virtualization is a versatile data integration solution that can be deployed to solve a wide range of data integration challenges. Based on nearly ten years of successful implementations, several common usage patterns have emerged to help guide your enterprise’s data virtualization adoption strategy.
- BI data federation
- Data warehouse extension
- Enterprise data virtualization layer
- Big data integration
- Cloud data integration”
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Tags: Big Data, Cisco Information Server, cloud, data integration, data virtualization, logical data warehouse
Forrester Consulting recently conducted a Total Economic Impact (TEI) study and examined the potential return on investment (ROI) enterprises may realize by deploying the Cisco Data Virtualization solution. This provides readers with a framework to evaluate the potential financial impact of investing in the Cisco Data Virtualization solution for their organizations.
Forrester gathered data through interviews with some of our long-term customers who have several years’ experience using the solution to better understand the benefits, costs, and risks associated with Cisco Data Virtualization. In this blog, I’d like to dive a little deeper on these customers, the challenges they were faced with and the results they are seeing from implementing Cisco Data Virtualization.
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Tags: Cisco Data virtualization, data integration, data virtualization, Forrester TEI Study, predictive analysis
At the recent Gartner BI Summit in Las Vegas, there was a lot of discussion about the paradigm shift underway in business intelligence (BI) and analytics. Business’s need for agile data access and self-service, combined with IT’s inability to satisfy this need, is causing disruption to traditional models and shifting the balance of power from IT to the business.
While that is certainly true, it is not a new phenomenon. In fact, it has been building for more than a decade.
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Tags: business intelligence, Cisco Data virtualization, data integration, data virtualization, software as a service
Big data and analytics are changing the competitive playing field. Winners will find ways to turn unprecedented growth and complexity of big data, cloud, IoT devices and more into competitive advantage.
The Value of Big Data Integration
Big data itself can provide significant insight, impact and advantage. These outcomes can be multiplied when big data is combined with existing enterprise data or even other big data. These insights can lead to enriched customer engagement, faster new product innovation, higher returns on capital and more. The possibilities are endless. And your competition has the same objectives.
As a result, integrating big data intelligently is a challenge on nearly everyone’s short list. Three patterns of integration have formed around big data integration.
Cisco Data Virtualization is proving a key enabler, delivering many of the capabilities required. With Cisco UCS and key partners including Appfluent, Cloudera, Hortonworks, Informatica and MapR providing additional value add.
Integration Pattern 1 – Hadoop to Hadoop Integration
The Cisco Hadoop-to-Hadoop Data Integration solution provides a more agile and faster way to access and query multiple Hadoop clusters. This solution enables even “bigger” big data analytics for greater insights and business impacts.
Integration Pattern 2 – Hadoop to Enterprise Integration
The Cisco Hadoop-to-Enterprise Data Integration solution provides a more agile and faster way to bring together traditional enterprise data with the new world of big data. Accessing and querying both Hadoop and enterprise data enriches the analytic opportunities and results in better business decisions.
Integration Pattern 3 – Data Warehouse Optimization Integration
With data warehouse data doubling every two years, data warehouse costs are skyrocketing. To reduce these ever-growing warehouse management costs Cisco and Informatica recently announced a joint Data Warehouse Optimization solution.
This offering combines the hardware, software and services required to successfully offload processing and storage from data warehouses to Hadoop. Not only does it significantly reduce costs, the solution also help organizations integrate and analyze more data and types of data, and thus drive greater business impacts.
At Strata + Hadoop World last week, I discussed this new solution with Jim McHugh, VP of UCS & Data Center Solutions Marketing at Cisco.
To learn more about these solutions and how Cisco’s rich portfolio of big data and analytics solutions can help you unlock the value of your big data, check out these two on-demand seminars:
Unlock Your Competitive Edge with Cisco Big Data and Analytics Solutions
Analytics Solutions for Driving Better Business Outcomes
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Learn More from My Colleagues
Check out the blogs of Mala Anand, Mike Flannagan and Nicola Villa to learn more.
Tags: Big Data, data and analytics, data integration, data virtualization, data warehouse optimization, Hadoop, UCS
The challenges of data management are getting exponentially harder. These ever-increasing data quantities, diversity and distribution are revolutionizing data management, opening the door for new solutions such as data virtualization.
Data virtualization fulfills a range of business demands for data, supports high iteration and fast response times, all while saving significant IT costs.
Radiant Advisors is a leading strategic research and advisory firm that helps transform today’s organizations into tomorrow’s data-driven industry leaders. They recently teamed with Cisco to better understand the barriers experienced by companies considering data virtualization and see how companies that have already adopted data virtualization overcame them.
The Data Virtualization Adoption Dilemma
Data virtualization is an advanced technology with nearly every major research and consulting firm provides architectural blueprints that include a logical business semantic layer.
Yet only some companies have it, leaving data virtualization an often-missed opportunity for business and IT to keep pace with today’s volatile data landscape.
To achieve the benefits of data virtualization, companies need to take the leap.
Unique Research Formula
To better understand data virtualization adoption barriers, Radiant Advisors’ Research Director, Lindy Ryan, interviewed a broad, pre-adopter community to understand their perceptions and concerns. These top-of-mind issues were then posited to companies that have already adopted data virtualization, who then anonymously shared the insights, best practices, and lessons they learned in overcoming barriers to data virtualization adoption.
The resulting research report, Overcoming Barriers to Data Virtualization Adoption, consolidated these findings into clear counsel intended to guide potential adopters to overcome perceived barriers.
Read The Research
Download Overcoming Barriers to Data Virtualization Adoption here.
To learn more about Cisco Data Virtualization, check out our page.
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Tags: agility, data analytics, data integration, data management, data virtualization