Welcome!

Agile Computing Authors: Elizabeth White, Carmen Gonzalez, Yeshim Deniz, Pat Romanski, Liz McMillan

Related Topics: Containers Expo Blog, Microservices Expo

Containers Expo Blog: Article

How Data Virtualization Improves Business Agility – Part 3

Optimize staff, infrastructure and integration approach for maximum ROI

While the benefits derived from greater business agility are significant, costs are also an important factor to consider. This is especially true in today's extremely competitive business environment and difficult economic times.

This article, the last in a series of three articles on how data virtualization delivers business agility, focuses on resource agility.

In Parts 1 and 2, business decision agility and time-to-solution agility were addressed.

Resource Agility Is a Key Enabler of Business Agility
In the recently published Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, resource agility was identified as the third key element in an enterprise's business agility strategy, along with business decision agility and time-to-solution agility.

Data virtualization directly enables greater resource agility through superior developer productivity, lower infrastructure costs and better optimization of data integration solutions.

These factors combine to provide significant cost savings that can be applied flexibly to fund additional data integration activities and/or other business and IT projects.

Superior Developer Productivity Saves Personnel Costs
At 41% of the typical enterprise IT budget, personnel staffing expenses, including salaries, benefits and occupancy, represent the largest category of IT spending according to recently published analyst research. This spending is double that of both software and outsourcing, and two-and-a-half times that of hardware.

Not only are these staffing costs high in absolute terms, with data integration efforts often representing half the work in a typical IT development project, data integration developer productivity is critically important on a relative basis as well.

As described in Part 2 of this series, data virtualization uses a streamlined architecture and development approach. Not only does this improve time-to-solution agility, it also improves developer productivity in several ways.

  • First, data virtualization allows rapid, iterative development of views and data services. The development and deployment time savings associated with this development approach directly translate into lower staffing costs.
  • Second, the typically SQL-based views used in data virtualization are a well-understood IT paradigm. And the IDEs for building these views share common terminology and techniques with the IDEs for the most popular relational databases. The same can be said for data services and popular SOA IDEs. These factors make data virtualization easy for developers to learn and reduce training costs typically required when adopting new tools.
  • Third, graphically oriented IDEs simplify data virtualization solution development with significant built-in code generation and automatic query optimization. This enables less senior and lower cost development staff to build data integration solutions.
  • Fourth, the views and services built for one application can easily be reused across other applications. This further increases productivity and reduces staffing resource costs.

Better Asset Leverage Lowers Infrastructure Costs
Large enterprises typically have hundreds, if not thousands, of data sources. While these data assets can be leveraged to provide business decision agility, these returns come at a cost. Each source needs to be efficiently operated and managed and the data effectively governed. These ongoing infrastructure costs typically dwarf initial hardware and software implementation costs.

Traditional data integration approaches, where data is consolidated in data warehouses or marts, add to the overall number of data sources. This necessitates not only greater up-front capital expenditures, but also increased spending for ongoing operations and management. In addition, every new copy of the data introduces an opportunity for inconsistency and lower data quality.

Protecting against these inevitable issues is a non-value-added activity that further diverts critical resources. Finally, more sources equal more complexity. This means large, ongoing investments in coordination and synchronization activities.

These demands consume valuable resources that can be significantly reduced through the use of data virtualization. Because data virtualization requires fewer physical data repositories than traditional data integration approaches, enterprises that use data virtualization lower their capital expenditures as well as their operating, management and governance costs. In fact, many data virtualization users find these infrastructure savings alone can justify their entire investment in data virtualization technology.

Add Data Virtualization to Optimize Your Data Integration Portfolio
As a component of a broad data integration portfolio, data virtualization joins traditional data integration approaches such as data consolidation in the form of data warehouses and marts enabled by ETL as well as messaging and replication-based approaches that move data from one location to another.

Each of these approaches has strengths and limitations when addressing various business information needs, data source and consumer technologies, time-to-solution and resource agility requirements.

For example, a data warehouse approach to integration is often deployed when analyzing historical time-series data across multiple dimensions. Data virtualization is typically adopted to support one or more of the five popular data virtualization usage patterns:

  • BI data federation
  • Data warehouse extension
  • Enterprise data virtualization layer
  • Big data integration
  • Cloud data integration

Given the many information needs, integration challenges, and business agility objectives organizations have to juggle, each data integration approach added to the portfolio improves the organization's data integration flexibility and thus optimizes the ability to deliver effective data integration solutions.

With data virtualization in the integration portfolio, the organization can optimally mix and match physical and virtual integration methods based on the distinct requirements of a specific application's information needs, source data characteristics and other critical factors such as time-to-solution, data latency and total cost of ownership.

In addition, data virtualization provides the opportunity to refactor and optimize data models that are distributed across multiple applications and consolidated stores. For example, many enterprises use their BI tool's semantic layer and/or data warehouse schema to manage data definitions and models. Data virtualization provides the option to centralize this key functionality in the data virtualization layer. This can be especially useful in cases where the enterprise has several BI tools and/or multiple warehouses and marts, each with their own schemas and governance.

Conclusion
Data virtualization's streamlined architecture and development approach significantly improves developer productivity. Further, data virtualization requires fewer physical data repositories than traditional data integration approaches. This means that data virtualization users lower their capital expenditures as well as their operating, management and governance costs. Finally, adding data virtualization to the integration portfolio enables the optimization of physical and virtual integration methods.

These factors combine to provide significant cost savings that can be applied flexibly to fund additional data integration activities and/or other business and IT projects in the pursuit of business agility.

•   •   •

Editor's Note: Robert Eve is the co-author, along with Judith R. Davis, of Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility, the first book published on the topic of data virtualization. This series of three articles on How Data Virtualization Delivers Business Agility includes excerpts from the book.

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.

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


@ThingsExpo Stories
SYS-CON Events announced today that CollabNet, a global leader in enterprise software development, release automation and DevOps solutions, will be a Bronze Sponsor of SYS-CON's 20th International Cloud Expo®, taking place from June 6-8, 2017, at the Javits Center in New York City, NY. CollabNet offers a broad range of solutions with the mission of helping modern organizations deliver quality software at speed. The company’s latest innovation, the DevOps Lifecycle Manager (DLM), supports Value S...
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Analytic. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
SYS-CON Events announced today that Juniper Networks (NYSE: JNPR), an industry leader in automated, scalable and secure networks, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. The company co-innovates with customers and partners to deliver automated, scalable and secure network...
SYS-CON Events announced today that Super Micro Computer, Inc., a global leader in compute, storage and networking technologies, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Supermicro (NASDAQ: SMCI), the leading innovator in high-performance, high-efficiency server technology, is a premier provider of advanced server Building Block Solutions® for Data Center, Cloud Computing, Enterprise IT, Hadoop/...
Amazon has gradually rolled out parts of its IoT offerings in the last year, but these are just the tip of the iceberg. In addition to optimizing their back-end AWS offerings, Amazon is laying the ground work to be a major force in IoT – especially in the connected home and office. Amazon is extending its reach by building on its dominant Cloud IoT platform, its Dash Button strategy, recently announced Replenishment Services, the Echo/Alexa voice recognition control platform, the 6-7 strategic...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
Judith Hurwitz is president and CEO of Hurwitz & Associates, a Needham, Mass., research and consulting firm focused on emerging technology, including big data, cognitive computing and governance. She is co-author of the book Cognitive Computing and Big Data Analytics, published in 2015. Her Cloud Expo session, "What Is the Business Imperative for Cognitive Computing?" is scheduled for Wednesday, June 8, at 8:40 a.m. In it, she puts cognitive computing into perspective with its value to the busin...
SYS-CON Events announced today that T-Mobile will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. As America's Un-carrier, T-Mobile US, Inc., is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The Company's advanced nationwide 4G LTE network delivers outstanding wireless experiences to 67.4 million customers who are unwilling to compromise on ...
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...
Bert Loomis was a visionary. This general session will highlight how Bert Loomis and people like him inspire us to build great things with small inventions. In their general session at 19th Cloud Expo, Harold Hannon, Architect at IBM Bluemix, and Michael O'Neill, Strategic Business Development at Nvidia, discussed the accelerating pace of AI development and how IBM Cloud and NVIDIA are partnering to bring AI capabilities to "every day," on-demand. They also reviewed two "free infrastructure" pr...
With billions of sensors deployed worldwide, the amount of machine-generated data will soon exceed what our networks can handle. But consumers and businesses will expect seamless experiences and real-time responsiveness. What does this mean for IoT devices and the infrastructure that supports them? More of the data will need to be handled at - or closer to - the devices themselves.
New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Transformation’ demands rapid delivery and continuous iteration of new competitive services via multiple channels, which in turn demands new service delivery techniques – including DevOps. In this power panel at @DevOpsSummit 20th Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, panelists will examine how DevOps helps to meet th...
NHK, Japan Broadcasting, will feature the upcoming @ThingsExpo Silicon Valley in a special 'Internet of Things' and smart technology documentary that will be filmed on the expo floor between November 3 to 5, 2015, in Santa Clara. NHK is the sole public TV network in Japan equivalent to the BBC in the UK and the largest in Asia with many award-winning science and technology programs. Japanese TV is producing a documentary about IoT and Smart technology and will be covering @ThingsExpo Silicon Val...
Grape Up is a software company, specialized in cloud native application development and professional services related to Cloud Foundry PaaS. With five expert teams that operate in various sectors of the market across the USA and Europe, we work with a variety of customers from emerging startups to Fortune 1000 companies.
Financial Technology has become a topic of intense interest throughout the cloud developer and enterprise IT communities. Accordingly, attendees at the upcoming 20th Cloud Expo at the Javits Center in New York, June 6-8, 2017, will find fresh new content in a new track called FinTech.
SYS-CON Events announced today that Interoute, owner-operator of one of Europe's largest networks and a global cloud services platform, has been named “Bronze Sponsor” of SYS-CON's 20th Cloud Expo, which will take place on June 6-8, 2017 at the Javits Center in New York, New York. Interoute is the owner-operator of one of Europe's largest networks and a global cloud services platform which encompasses 12 data centers, 14 virtual data centers and 31 colocation centers, with connections to 195 add...
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu’s platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
NHK, Japan Broadcasting, will feature the upcoming @ThingsExpo Silicon Valley in a special 'Internet of Things' and smart technology documentary that will be filmed on the expo floor between November 3 to 5, 2015, in Santa Clara. NHK is the sole public TV network in Japan equivalent to the BBC in the UK and the largest in Asia with many award-winning science and technology programs. Japanese TV is producing a documentary about IoT and Smart technology and will be covering @ThingsExpo Silicon Val...
The 20th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held June 6-8, 2017, at the Javits Center in New York City, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Containers, Microservices and WebRTC to one location. With cloud computing driving a higher percentage of enterprise IT budgets every year, it becomes increasingly important to plant your flag in this fast-expanding business opportunity. Submit your speaking proposal ...
The age of Digital Disruption is evolving into the next era – Digital Cohesion, an age in which applications securely self-assemble and deliver predictive services that continuously adapt to user behavior. Information from devices, sensors and applications around us will drive services seamlessly across mobile and fixed devices/infrastructure. This evolution is happening now in software defined services and secure networking. Four key drivers – Performance, Economics, Interoperability and Trust ...