|By Robert Eve||
|February 15, 2013 08:00 AM EST||
Last July, I wrote Data Virtualization Q&A: What's It All About, an ambitious article that attempted to address the topic of data virtualization from numerous angles including use cases, business benefits, and technology.
Since then, with the continued rapid expansion of big data and analytics, as well as data virtualization technology advances, my 360 degree view of data virtualization has evolved.
Data Rich, Information Poor
As I think about data virtualization today, the big data and analytics challenge that data virtualization best addresses is helping enterprises take advantage of their data.
In other words, enterprises today are data rich with loads of enterprise, cloud, third party and Big Data. But they remain information poor.
In this context, let's consider the role of data virtualization with ten, back-to-the-basics questions and answers.
What is Data Virtualization?
Data virtualization is an agile data integration approach organizations use to gain more insight from their data.
Unlike data consolidation or data replication, data virtualization integrates diverse data without costly extra copies and additional data management complexity.
With data virtualization, you respond faster to ever changing analytics and BI needs, fast-track your data management evolution and save 50-75% over data replication and consolidation.
Why Use Data Virtualization?
With so much data today, the difference between business leaders and also-rans is often how well they leverage their data. Significant leverage equals significant business value, and that's a big advantage over the competition.
Data virtualization provides instant access to all the data you want, the way you want it.
Enterprise, cloud, Big Data, and more, no problem!
What Are the Benefits of Data Virtualization?
With data virtualization, you benefit in several important ways.
- Gain more business insights by leveraging all your data - Empower your people with instant access to all the data they want, the way they want it.
- Respond faster to your ever changing analytics and BI needs - Five to ten times faster time to solution than traditional data integration.
- Fast-track your data management evolution - Start quickly and scale successfully with an easy-to-adopt overlay to existing infrastructure.
- Save 50-75% over data replication and consolidation - Data virtualization's streamlined approach reduces complexity and saves money.
Who Uses Data Virtualization?
Data virtualization is used by your business and IT organizations.
- Business Leaders - Data virtualization helps you drive business advantage from your data.
- Information Consumers - From spreadsheet user to data scientist, data virtualization provides instant access to all the data you want, the way you want it.
- CIOs and IT Leaders - Data virtualization's agile integration approach lets you respond faster to ever changing analytics and BI needs and do it for less.
- CIOs and Architects - Data virtualization adds data integration flexibility so you can successfully evolve your data management strategy and architecture.
- Integration Developers - Easy to learn and highly productive to use, data virtualization lets you deliver more business value sooner.
How Does Data Virtualization Work?
Data virtualization's business views provide instant access to the data your business users require, while shielding them from IT's complexity.
- Develop - Your IT staff uses data virtualization's rich data analysis, design and development tools to build the business views (also known as data services).
- Run - When your business users run a report or refresh a dashboard, data virtualization's high-performance query engine accesses the data sources and delivers the exact information requested.
- Manage - Data virtualizations management, monitoring, security and governance functions ensure security, reliability and scalability.
Data virtualization vendor products such as the Composite Data Virtualization Platform provide all these capabilities in a complete and unified offering.
When to Use Data Virtualization?
You can use data virtualization to enable a wide range of information solutions including:
- Agile Analytics and BI Solutions
- Data Warehouse Extension Solutions
- Logical Data Warehouse Solutions
- Data Virtualization Architecture Solutions
- Data Integration and Management Solutions
- Business Solutions
- Industry Solutions
When Not to Use Data Virtualization?
Data virtualization is not the answer to every data integration problem. Sometimes data consolidation in a warehouse or mart, along with ETL or ELT is a better solution for a particular use case. And sometimes a hybrid mix is the right answer.
You can use a Data Integration Strategy Decision Tool to help you decide when to use data virtualization, data consolidation or perhaps a hybrid combination.
What is the Business Case for Data Virtualization?
Data virtualization has a compelling business case. The following drivers make data virtualization a "must have" for any large organization today.
- Profit Growth - Data virtualization delivers the information your organization requires to increase revenue and reduce costs.
- Risk Reduction - Data virtualization's up-to-the-minute business insights help you manage business risk and reduce compliance penalties. Plus data virtualization's rapid development and quick iterations lower your IT project risk.
- Technology Optimization - Data virtualization improves utilization of existing server and storage investments. And with less storage required, hardware and governance savings are substantial.
- Staff Productivity - Data virtualization's easy-to-use, high-productivity design and development environments improve your staff effectiveness and efficiency.
- Time-to-Solution Acceleration - Your data virtualization projects are completed faster so business benefits are derived sooner. Lower project costs are an additional agility benefit.
How to Deploy Data Virtualization?
You can start your data virtualization adoption with specific projects that address immediate information needs.
Which Vendor Should I Select?
If you are like most, you would prefer to go with data virtualization market leader. But how do you define the market leader
Is it the one with the most mature product? For example, one data virtualization vendor has spent a decade delivering nearly 400 man years of R&D, six million lines of code and millions of hours of operational deployment.
Is it the one with the most installations? For example the same vendor is used by nearly two hundred of world's largest organizations
Is it the one with them most domain knowledge? This same vendor's data virtualization thought leadership assets demonstrate the expertise they can bring to bear for you. These include:
- The first book on data virtualization, Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility.
- Data virtualization's foremost microsite, the DV Café
- The Data Virtualization Leadership Series of analyst reports on data virtualization
- Data virtualization's only dedicated blog, the Data Virtualization Leadership Blog
- The Data Virtualization Channel on YouTube with users, analysts, chalk talks and more
- The Data Virtualization Leadership Awards honoring users
- Data Virtualization Day Resources, assets from the premier events in data virtualization
- Data virtualization's longest running newsletter, Enterprise Information Insight
With so many new opportunities from Big Data, analytics and more, today's challenge is how to take big advantage. This article suggests that data virtualization can be that path, and provides answers to key questions about data virtualization. The time is now.
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists discussed what things are the most important, which will have the most profound...
Dec. 1, 2015 06:30 AM EST Reads: 513
As organizations shift towards IT-as-a-service models, the need for managing & protecting data residing across physical, virtual, and now cloud environments grows with it. CommVault can ensure protection & E-Discovery of your data - whether in a private cloud, a Service Provider delivered public cloud, or a hybrid cloud environment – across the heterogeneous enterprise.
Dec. 1, 2015 06:00 AM EST Reads: 271
Growth hacking is common for startups to make unheard-of progress in building their business. Career Hacks can help Geek Girls and those who support them (yes, that's you too, Dad!) to excel in this typically male-dominated world. Get ready to learn the facts: Is there a bias against women in the tech / developer communities? Why are women 50% of the workforce, but hold only 24% of the STEM or IT positions? Some beginnings of what to do about it! In her Day 2 Keynote at 17th Cloud Expo, San...
Dec. 1, 2015 05:00 AM EST Reads: 620
Apps and devices shouldn't stop working when there's limited or no network connectivity. Learn how to bring data stored in a cloud database to the edge of the network (and back again) whenever an Internet connection is available. In his session at 17th Cloud Expo, Ben Perlmutter, a Sales Engineer with IBM Cloudant, demonstrated techniques for replicating cloud databases with devices in order to build offline-first mobile or Internet of Things (IoT) apps that can provide a better, faster user e...
Dec. 1, 2015 04:45 AM EST Reads: 458
SYS-CON Events announced today that Catchpoint, a global leader in monitoring, and testing the performance of online applications, has been named "Silver Sponsor" of DevOps Summit New York, which will take place on June 7-9, 2016 at the Javits Center in New York City. Catchpoint radically transforms the way businesses manage, monitor, and test the performance of online applications. Truly understand and improve user experience with clear visibility into complex, distributed online systems.Founde...
Dec. 1, 2015 04:15 AM EST
In today's enterprise, digital transformation represents organizational change even more so than technology change, as customer preferences and behavior drive end-to-end transformation across lines of business as well as IT. To capitalize on the ubiquitous disruption driving this transformation, companies must be able to innovate at an increasingly rapid pace. Traditional approaches for driving innovation are now woefully inadequate for keeping up with the breadth of disruption and change facin...
Dec. 1, 2015 03:30 AM EST Reads: 532
I recently attended and was a speaker at the 4th International Internet of @ThingsExpo at the Santa Clara Convention Center. I also had the opportunity to attend this event last year and I wrote a blog from that show talking about how the “Enterprise Impact of IoT” was a key theme of last year’s show. I was curious to see if the same theme would still resonate 365 days later and what, if any, changes I would see in the content presented.
Dec. 1, 2015 03:00 AM EST Reads: 470
The revocation of Safe Harbor has radically affected data sovereignty strategy in the cloud. In his session at 17th Cloud Expo, Jeff Miller, Product Management at Cavirin Systems, discussed how to assess these changes across your own cloud strategy, and how you can mitigate risks previously covered under the agreement.
Dec. 1, 2015 03:00 AM EST Reads: 110
Cloud computing delivers on-demand resources that provide businesses with flexibility and cost-savings. The challenge in moving workloads to the cloud has been the cost and complexity of ensuring the initial and ongoing security and regulatory (PCI, HIPAA, FFIEC) compliance across private and public clouds. Manual security compliance is slow, prone to human error, and represents over 50% of the cost of managing cloud applications. Determining how to automate cloud security compliance is critical...
Dec. 1, 2015 03:00 AM EST Reads: 469
Most of the IoT Gateway scenarios involve collecting data from machines/processing and pushing data upstream to cloud for further analytics. The gateway hardware varies from Raspberry Pi to Industrial PCs. The document states the process of allowing deploying polyglot data pipelining software with the clear notion of supporting immutability. In his session at @ThingsExpo, Shashank Jain, a development architect for SAP Labs, discussed the objective, which is to automate the IoT deployment proces...
Dec. 1, 2015 01:15 AM EST Reads: 125
Culture is the most important ingredient of DevOps. The challenge for most organizations is defining and communicating a vision of beneficial DevOps culture for their organizations, and then facilitating the changes needed to achieve that. Often this comes down to an ability to provide true leadership. As a CIO, are your direct reports IT managers or are they IT leaders? The hard truth is that many IT managers have risen through the ranks based on their technical skills, not their leadership ab...
Dec. 1, 2015 01:00 AM EST Reads: 436
In his General Session at DevOps Summit, Asaf Yigal, Co-Founder & VP of Product at Logz.io, explored the value of Kibana 4 for log analysis and provided a hands-on tutorial on how to set up Kibana 4 and get the most out of Apache log files. He examined three use cases: IT operations, business intelligence, and security and compliance. Asaf Yigal is co-founder and VP of Product at log analytics software company Logz.io. In the past, he was co-founder of social-trading platform Currensee, which...
Nov. 30, 2015 10:00 PM EST Reads: 288
Countless business models have spawned from the IaaS industry – resell Web hosting, blogs, public cloud, and on and on. With the overwhelming amount of tools available to us, it's sometimes easy to overlook that many of them are just new skins of resources we've had for a long time. In his general session at 17th Cloud Expo, Harold Hannon, Sr. Software Architect at SoftLayer, an IBM Company, broke down what we have to work with, discussed the benefits and pitfalls and how we can best use them ...
Nov. 30, 2015 03:45 PM EST Reads: 115
We all know that data growth is exploding and storage budgets are shrinking. Instead of showing you charts on about how much data there is, in his General Session at 17th Cloud Expo, Scott Cleland, Senior Director of Product Marketing at HGST, showed how to capture all of your data in one place. After you have your data under control, you can then analyze it in one place, saving time and resources.
Nov. 30, 2015 03:15 PM EST Reads: 250
The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products. With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data...
Nov. 30, 2015 03:00 PM EST Reads: 496
Just over a week ago I received a long and loud sustained applause for a presentation I delivered at this year’s Cloud Expo in Santa Clara. I was extremely pleased with the turnout and had some very good conversations with many of the attendees. Over the next few days I had many more meaningful conversations and was not only happy with the results but also learned a few new things. Here is everything I learned in those three days distilled into three short points.
Nov. 30, 2015 02:00 PM EST Reads: 375
As organizations realize the scope of the Internet of Things, gaining key insights from Big Data, through the use of advanced analytics, becomes crucial. However, IoT also creates the need for petabyte scale storage of data from millions of devices. A new type of Storage is required which seamlessly integrates robust data analytics with massive scale. These storage systems will act as “smart systems” provide in-place analytics that speed discovery and enable businesses to quickly derive meaningf...
Nov. 30, 2015 01:45 PM EST Reads: 441
DevOps is about increasing efficiency, but nothing is more inefficient than building the same application twice. However, this is a routine occurrence with enterprise applications that need both a rich desktop web interface and strong mobile support. With recent technological advances from Isomorphic Software and others, rich desktop and tuned mobile experiences can now be created with a single codebase – without compromising functionality, performance or usability. In his session at DevOps Su...
Nov. 30, 2015 01:45 PM EST Reads: 439
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).
Nov. 30, 2015 01:00 PM EST Reads: 542
In his General Session at 17th Cloud Expo, Bruce Swann, Senior Product Marketing Manager for Adobe Campaign, explored the key ingredients of cross-channel marketing in a digital world. Learn how the Adobe Marketing Cloud can help marketers embrace opportunities for personalized, relevant and real-time customer engagement across offline (direct mail, point of sale, call center) and digital (email, website, SMS, mobile apps, social networks, connected objects).
Nov. 30, 2015 12:45 PM EST Reads: 346