October 21, 2013 6:41 PM
Posted by: Robert Eve
, Case Studies
, Data Integration
, Data Virtualization
, Market Trends
Data Virtualization Day 2013 was the largest gathering of data virtualization professionals in history. With 350 attendees from over 130 organizations, this year’s attendance was 65% higher than 2012.
Cisco Executives Share their Vision for Data Virtualization
Mike Flannagan, General Manager of Cisco’s Integration Brokerage Technology Group opened the day by describing why Cisco chose to enter the data virtualization business via its acquisition of Composite Software in July 2013. True to Cisco’s history of innovation as technology landscapes shift, Mike noted that the big data, cloud computing and “Internet of Everything” eras were making data virtualization a must have for Cisco’s customers. As such, beyond acquiring the data virtualization market leader, Mike explained Cisco’s go-forward strategy to expand and accelerate Composite’s data virtualization business and product offerings.
Jim Green, former CEO of Composite, and now General Manager of Cisco’s Data Virtualization Business Unit followed Mike, presenting his vision for data virtualization’s next generation. Jim noted that achieving massive scale was the next frontier for data virtualization technology. And that his strategy is to innovate using Cisco’s unique mix of data virtualization, networking, and compute assets to meet this scale challenge.
Jim also noted that the self-service business intelligence trend that transformed business user adoption of BI and analytics technology, would soon unleash a similar self-service trend in data integration. This would change IT’s role to from Information Technology to Empowerment Technology. To empower business users outside of data virtualization’s traditional IT domain, Jim introduced two new extensions to the Cisco Data Virtualization Suite, the Business Directory and Collage. Planned for 2014 release, early versions of Cisco Collage were demonstrated in Data Virtualization Day’s Collage Theater, where nearly 100 attendees signed up for the early adopter program.
Success Stories from Three Data Virtualization Adopters
John Weir Managing Director and CTO of Operations at Goldman Sachs; Mike Desanti, Lead Technology Officer for Risk Technology at BMO Financial; and Nick Maroudas, Analysis and Design Manager for Business Intelligence at British Sky Broadcasting, provided insiders’ views of their data virtualization implementations, also explaining the significant profitability, agility, and risk management benefits their enterprises have achieved.
Analysts Discuss Data Virtualization Adoption and Trends
Noel Yuhanna, of Forrester Research and co-author of the first major analyst report on Data Virtualization in 2006, “Information Fabric: Enterprise Data Virtualization,” Rick van der Lans, of R20/Consultancy and author of the book “Data Virtualization for Business Intelligence Systems” closed the day discussing data virtualization adoption acceleration as well as the business and technology trends behind it.
Looking ahead to where data virtualization is going, Noel described global information fabrics powered by data virtualization that integrate enterprise, partner, marketplace, social and line of business information fabrics to provide connected data anytime, anywhere. Looking ahead, Rick cautioned that a some point soon, big data will be too big to move. And thus data virtualization along with powerful networks, which allow data to stay where it is collected, will become the dominant data integration method.
Highlights from these presentations will soon be posted on the Data Virtualization Day resources page. In the meantime, check out these insights from Radian Advisors, SearchDataManagement, and Infostructure Associates.
- The Good News From Composite Software/Cisco: To ‘Global’, Faster Data Virtualization And Beyond
- Cisco Systems and Composite Software: Partners in Innovation
- Cisco reveals plans for the future of Composite Software
September 23, 2013 6:26 PM
Posted by: Peter Tran
, Big Data
, Business Value
, Data Federation
, Data Virtualization
Big Data Analytics Make Business Sense
Big data analytic opportunities are abundant, with business value the driver. According to the Professors Andrew McAfee and Erik Brynjolfsson of MIT:
“Companies that inject big data and analytics into their operations show productivity rates and profitability that are 5% to 6% higher than those of their peers.”
Enterprises, flooded with a deluge of data about their customers, prospects, business processes, suppliers, partners and competitors, understand data’s critical role in analytics.
The Analytic Data Challenge
However, integrating data consumes the better half of any analytic project as variety and volume complexity constrain progress.
- Diverse data –In the past, most analytic data was typically relational and on premise. That changed with the rise of web services, cloud and other non-relational and big data sources. Analysts must now work with data from everywhere of multiple data types, including tabular, XML, key-value pairs and semi-structured log data.
- Multiple interfaces and protocols – Accessing data is now more complicated. Before, analysts used ODBC to access a database or a spreadsheet. Now, analysts must access data through a variety of protocols, including web services via SOAP or REST, Hadoop data through Hive, and other types of NOSQL data via proprietary APIs.
- Larger data sets – Data sets are significantly larger. Analysts can no longer assemble all data in one place, especially if that place is their desktop. Analysts must be able to work with data where it is, intelligently sub-setting it and combining it with relevant data from other high volume sources.
- Iterative analytic methods – Exploration and experimentation defines the analytic process. Finding, accessing and pulling together data is difficult alone, with continuous updating and reassembling of data sets also a must have.
Data Virtualization is a Better Way
Providing analytics with the data required has always been difficult, with data integration long considered the biggest bottleneck in any analytics or BI project.
No longer is consolidating all analytics data into a data warehouse the answer.
Data Virtualization addresses your difficult analytic data challenges.
- Rapid Data Gathering Accelerates Analytics Impact – Nimble data discovery and access tools makes it faster and easier to gather together the data sets each new analytic project requires.
- Data Discovery Addresses Data Proliferation – Data discovery automates entity and relationship identification; accelerating data modeling so your analysts can better understand and leverage distributed data assets.
- Query Optimization for Timely Business Insight – Optimization algorithms and techniques deliver the timely information analytics require.
- Data Federation Provides the Complete Picture – Virtual data integration in memory provides the complete picture without the cost and overhead of physical data consolidation.
- Data Abstraction Simplifies Complex Data – Data abstraction transforms data from native structures to common semantics that analysts understand.
- Analytic Sandbox and Data Hub Options Provide Deployment Flexibility – Data virtualization supports diverse analytic requirements from ad hoc analyses via sandboxes to recurring analyses via data hubs.
- Data Governance Maximizes Control – Built-in governance ensures data security, data quality and 7×24 operations to provide needed controls.
- Layered Data Architecture Enables Rapid Change – Loose coupling and rapid development tools provide the agility required to keep pace with ever-changing analytic needs.
Business Advantage from Data Virtualization
The business value of analytics has never been greater. But data volumes and variety impact the velocity of analytic success.
Data virtualization helps overcome data challenges to fulfill critical analytic data needs significantly faster with far fewer resources than other data integration techniques.
- Empower your people with instant access to all the data they want, the way they want it
- Respond faster to your changing analytics and business intelligence needs
- Reduce complexity and save money
Better analysis equals business advantage. So take advantage of data virtualization.
Register today for the fourth annual Data Virtualization Day on Wednesday, October 9, 2013 at The New York Palace in New York, NY