Welcome!

Cloud Security Authors: Pat Romanski, Elizabeth White, Zakia Bouachraoui, Yeshim Deniz, Liz McMillan

Related Topics: Containers Expo Blog, Microservices Expo

Containers Expo Blog: Article

What Is the "Best" Data Virtualization Best Practice?

If I could recommend just one best practice, what would it be?

If I could only recommend one data virtualization best practice, what would it be?

Hmmm!  With over a couple of hundred data virtualization implementations under Composite's belt, the answer is simple - Implement a Data Virtualization Competency Center!

Why a Data Virtualization Competency Center?
The reason is simple as well.  A Data Virtualization Competency Center can be IT's expressway to delivering Business and IT value.

Take a look at a recent Data Virtualization Leadership blog, by my colleague Peter Tran What Business and IT Problems Can Data Virtualization Solve?

Peter points out a number of benefits.  So why not leverage data virtualization widely across your enterprise?

Nexus for Enterprise-scale Data Virtualization
And a Data Virtualization Competency Center is the nexus for an enterprise-scale approach that successfully will let you combine and evolve the people, process and technology required to achieve all the business and IT benefits that data virtualization can deliver.

These are lesson well learned with other important technologies, for example BI, where Gartner published research on BI Competency Centers as early as 2002 with BI Competency Center Is Core to BI Success.

Time and Money - Gaining Data Virtualization Benefits
A Data Virtualization Competency Center Services can help ensure rapid return on your data virtualization investments, accelerating time-to-value by:

  • Ensuring a unified, complete data virtualization strategy and architecture that supports rapid execution
  • Concentrating subject matter expertise to resolve data virtualization design and development issues quicker
  • Reusing objects to save development time

Further, a Data Virtualization Competency Center can help reduce total cost of ownership by:

  • Optimizing internal and external staffing across multiple data virtualization projects and activities
  • Better utilizing data virtualization infrastructure
  • Developing and ensuring use of best practice methods
  • Anticipating and proactively overcoming obstacles thereby avoiding extra costs

Data Virtualization Competency Center Elements
A complete Data Virtualization Competency Center must include the following key elements:

  • Governance & Policies
  • Organization & Skills
  • Data Virtualization Best Practices
  • Data Virtualization Environment Management

But one size doesn't fit all.  I encourage a flexible adoption approach adapted to each organization's unique situation and needs. For example, your Data Virtualization Competency Center strategy and deployment will need to take into account:

  • Data virtualization strategy and adoption maturity
  • Centralized vs. decentralized resources
  • Build and run requirements
  • IT environment
  • Staff skills
  • Alignment with other competency centers

Getting Started with your Data Virtualization Competency Center
One easy way to get started is to extend an existing BI or Data Integration competency center to also include data virtualization.  This way you can leverage their infrastructure, organizational alignment, and lessons learned.

Another good idea is to start small by limiting the scope of functions, projects, or some other way that supports a successful crawl, walk, then run growth strategy.

And remember to publicize your successes.  This will provide momentum and accelerate progress.

More Stories By Robert Eve

Robert Eve is the EVP of Marketing at Composite Software, the data virtualization gold standard and co-author of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility. Bob's experience includes executive level roles at leading enterprise software companies such as Mercury Interactive, PeopleSoft, and Oracle. Bob holds a Masters of Science from the Massachusetts Institute of Technology and a Bachelor of Science from the University of California at Berkeley.

IoT & Smart Cities Stories
Atmosera delivers modern cloud services that maximize the advantages of cloud-based infrastructures. Offering private, hybrid, and public cloud solutions, Atmosera works closely with customers to engineer, deploy, and operate cloud architectures with advanced services that deliver strategic business outcomes. Atmosera's expertise simplifies the process of cloud transformation and our 20+ years of experience managing complex IT environments provides our customers with the confidence and trust tha...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Never mind that we might not know what the future holds for cryptocurrencies and how much values will fluctuate or even how the process of mining a coin could cost as much as the value of the coin itself - cryptocurrency mining is a hot industry and shows no signs of slowing down. However, energy consumption to mine cryptocurrency is one of the biggest issues facing this industry. Burning huge amounts of electricity isn't incidental to cryptocurrency, it's basically embedded in the core of "mini...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
The term "digital transformation" (DX) is being used by everyone for just about any company initiative that involves technology, the web, ecommerce, software, or even customer experience. While the term has certainly turned into a buzzword with a lot of hype, the transition to a more connected, digital world is real and comes with real challenges. In his opening keynote, Four Essentials To Become DX Hero Status Now, Jonathan Hoppe, Co-Founder and CTO of Total Uptime Technologies, shared that ...
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Every organization is facing their own Digital Transformation as they attempt to stay ahead of the competition, or worse, just keep up. Each new opportunity, whether embracing machine learning, IoT, or a cloud migration, seems to bring new development, deployment, and management models. The results are more diverse and federated computing models than any time in our history.
At CloudEXPO Silicon Valley, June 24-26, 2019, Digital Transformation (DX) is a major focus with expanded DevOpsSUMMIT and FinTechEXPO programs within the DXWorldEXPO agenda. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term. A total of 88% of Fortune 500 companies from a generation ago are now out of business. Only 12% still survive. Similar percentages are found throug...
Where many organizations get into trouble, however, is that they try to have a broad and deep knowledge in each of these areas. This is a huge blow to an organization's productivity. By automating or outsourcing some of these pieces, such as databases, infrastructure, and networks, your team can instead focus on development, testing, and deployment. Further, organizations that focus their attention on these areas can eventually move to a test-driven development structure that condenses several l...
The graph represents a network of 1,329 Twitter users whose recent tweets contained "#DevOps", or who were replied to or mentioned in those tweets, taken from a data set limited to a maximum of 18,000 tweets. The network was obtained from Twitter on Thursday, 10 January 2019 at 23:50 UTC. The tweets in the network were tweeted over the 7-hour, 6-minute period from Thursday, 10 January 2019 at 16:29 UTC to Thursday, 10 January 2019 at 23:36 UTC. Additional tweets that were mentioned in this...