New Horizons, New Possibilities: Announcing Data Virtualization Day 2014

With Big Data, the Cloud and the Internet of Everything transforming our world, the possibilities are staggering.  And status quo means falling behind.  These truths drive Data Virtualization Day 2014’s theme: New Horizons, New Possibilities.  

This year marks the fifth anniversary of Data Virtualization Day, the premier data virtualization industry event, where IT leaders stay informed of the latest trends and meet fellow innovators.

As host of Data Virtualization Day 2014, I would like to personally invite the entire data virtualization community to come together on October 1st, 2014, at the historic Waldorf Astoria in New York City, New York.

Our objective is to help you explore these new horizons and imagine these new possibilities.  In particular, Data Virtualization Day will address:

  • Why Big Data, the Cloud and the Internet of Everything are transforming business and IT?
  • How is data virtualization advancing to meet these opportunities?
  • What new data virtualization-based solutions are on the horizon?
  • Who is achieving significant business outcomes today?

Maintaining the Data Virtualization Day tradition, the all-day agenda will feature three data virtualization user case studies, presented by those users.  Past speakers have included CTO, CDO, and other executives from Goldman Sachs, Pearson, Comcast, NYSE, Franklin Templeton, Bank of America, Qualcomm, Sky Broadcasting and more.  And we are lining up a power-packed line up again this year to provide you with complete, insiders’ views into their advanced data virtualization deployments including business challenges, organizational transformation, technology adoption, and more.

Beyond the user speakers, industry analysts and Cisco executives will provide insights into trends and solutions that you can use as you map for your business’s data integration strategy.

And furthering the Data Virtualization Day tradition, winners of the 2014 Data Virtualization Leadership Awards will also be announced.  These are the best of the best.  Enjoy as we celebrate their accomplishments.

So join me, along with data virtualization’s vanguard, to explore these new horizons and imagine these new possibilities.  Registration is easy.  And the event is free.  Register now. 

Learn More

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

Join the Conversation

Follow us @CiscoDataVirt #DVDNYC

Data Abstraction: The Lingua Franca for Data Silos

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 such as

  • Separate access mechanisms, syntax, and security for each source
  • Lack of proper structure for business user or application consumption and reuse
  • Incomplete or duplicate data
  • And a mixture of latency issues

Data abstraction overcomes these challenges by transforming data from its native structure and syntax into views and data services that are much easier for business intelligence and analytics developers to use when creating new decision-making applications.

Enterprises can approach data abstraction three ways:

  • Manual data abstraction
  • Data warehouse schemas
  • Data virtualization

Of the three approaches, data virtualization is the superior solution for data abstraction because it enables the most flexibility and agility when you need to provide simple, consistent, business–formatted data from different data locations and sources.

As a complement to Cisco’s Data Virtualization software and services, Cisco also provides data abstraction best practices that help you accelerate your data abstraction activities. Composed of three distinct layers (application layer, business layer and physical layer), these best practices support a data reference architecture that rationalizes multiple, diverse data silos for a range of BI and analytic applications. The architecture aligns closely with analyst best practices mapped out by both Forrester and Gartner on the topic of data virtualization. Using these best practices will enable your company to access the right data for the business, gain agility and efficiency, maintain end-to-end control, and increase security of your data across all your data silos.

To learn more about data abstraction best practices using Cisco Data Virtualization, check out our white paper.

Call for Nominations: 2014 Data Virtualization Leadership Awards

The Data Virtualization Leadership Awards recognize organizations for data virtualization initiatives with significant business impact, agility and innovation.

  • Has your organization executed a data initiative with significant business impact, agility or innovation that should be celebrated?
  • Do you know a champion whose efforts have driven data virtualization success in your organization and beyond?

If so, please submit a nomination for the 2014 Data Virtualization Leadership Awards.

The deadline to submit is only 3 weeks away on July 9 so don’t delay.

Award Categories

  • High Impact Award: Recognizing the depth and breadth of the data virtualization impact on the business and to IT.
  • Agility Award: Recognizing speed and flexibility in applying data virtualization for improved business agility.
  • Innovative Solutions Award: Recognizing innovation in executing demanding data integration projects in complex environments.
  • Data Virtualization Champion Award: Recognizing promotion of data virtualization’s value across their organization and in the broader business and IT community.
  • Peter Green 3-3-3 Award: Superior usage and outcomes in practice of the 3-3-3 data virtualization use pattern.

Winners Recognition

  • Industry recognition of the Organization, Project and Project Leader
  • Participation in the award ceremony, held at the 2014 Data Virtualization Day in New York City
  • Engraved glass sculpture commemorating the achievement
  • Opportunities to speak at a Data Virtualization Day or other events

Rules of Entry

  • You must submit your nominee via e-mail to dvla_nominee@cisco.com by July 9, 2014.
  • Your email must include name, title, company, award, and a paragraph justifying your nomination.
  • Individual companies may nominate themselves in up to two categories. However, it’s best to create tailored versions for each category submitted.
  • Prior year’s winners may apply if they submit a new application for a new or significantly enhanced project.

Learn More

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

Active Archiving with Big Data

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 data on tape makes analysis of that data challenging, if not impossible.

Active Archiving Uses Hadoop Instead of Tape

What if the historical data on tape was loaded into a similar low cost, yet accessible, storage option, such as Hadoop?  And then data virtualization applied to access and combine this data along with the operational and data warehouse data, in essence intelligently partitioning data access across hot, warm and cold storage options.  Would it work?

Yes it would!  And in fact does every day at one of our largest global banking customers.  Here’s how:

Adding Historical Data Reduces Risk

The bank uses complex analytics to measure risk exposure in their fixed income trading business by industry, region, credit rating and other parameters.  To reduce risk, while making more profitable credit and bond derivative trading decisions, the bank wanted to identify risk trends using five years of fixed income market data rather than the one month (400 million records) they currently stored on line.  This longer time frame would allow them to better evaluate trends, and use that information to build a solid foundation for smarter, lower-risk trading decisions.

As a first step, the bank installed Hadoop and loaded five years of historical data that had previously been archived using tape.  Next they installed Cisco Data Virtualization to integrate the data sets, providing a common SQL access approach that made it easy for the analysts to integrate the data.  Third the analysts extended their risk management analytics to cover five years.   Up and running in just a few months, the bank was able to use this long term data to better manage fixed income trading risk.

Archiving with Big Data_BankTo learn more about Cisco Data Virtualization, check out our Data Virtualization Video Portal.

Announcing the 2013 Data Virtualization Innovative Solutions Award Winner

Making insightful usage of the growing plethora of internal data is difficult enough. But what if the business thrives and grows by developing data external to the firm, using it to sell insights to customers and to shape new products as well?  Associated challenges are even greater since each customer has different business contexts and needs. Innovation in such an environment would certainly take time, and new projects would be fraught with uncertainty, risk, and high cost.

Read More

Announcing the 2013 Data Virtualization Champion

There is an old saying: “If you want something done, give it to the busiest person you know who is qualified to do that thing.”  When I consider my experience, it seems to be true that the most reliable candidate for a task is typically the one most people go to with their requests.  Thus, that person is very busy indeed!

Read More

When Data Virtualization Meets the Network

Most followers of data virtualization have a data management background. This is why many did not immediately understand why “a networking company” like Cisco would be interested in acquiring data virtualization market leader Composite Software.

Data Virtualization Meets the Network,” a report from analyst firm EMA does a great job exploring several of the factors behind this powerful new combination.

Read More

Big Data Analytics – Better with 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.”

Read More

Archiving with Big Data = Better Business Results

Business Value from Mixing Current and Historical Data

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 decisions.And while recent data may be available in from operational systems and some summarized historical data available in the data warehouse, the traditional practice of archiving older, detail-level data offsite on tape makes business analytics challenging, if not impossible, because the historical information needed is simply unavailable.

Read More

Forrester Information Fabric 3.0 – A Fresh Take on Data Virtualization

On the Data Virtualization Vanguard

Forrester’s Mike Gilpin and Noel Yuhanna have been on the vanguard of data virtualization since their January 9, 2006 report trends report, “Information Fabric: Enterprise Data Virtualization.”

Their new report, “Forrester Information Fabric 3.0, Forrester’s Reference Architecture For Enterprise Data Virtualization” was published on August 8, 2013.

Read More

Follow

Get every new post delivered to your Inbox.

Join 27 other followers

%d bloggers like this: