Click here to close now.


Microservices Expo Authors: Pat Romanski, AppDynamics Blog, Liz McMillan, XebiaLabs Blog, Elizabeth White

Related Topics: Containers Expo Blog, Microservices Expo

Containers Expo Blog: Article

Can Virtualization Help with Governance?

Five ways data virtualization improves data governance

As with motherhood and apple pie, who can argue with data governance?

Business users like it because it assures critical business decisions are made based on sound data.

IT likes data governance because as the organization's data stewards, it shows they are doing a good job.

Compliance officers and risk managers like data governance because it lets them sleep at night.

Data Governance Is Challenging
Liking it is one thing.  Doing it is another.

Enterprises are struggling to turn the concept of data governance into a reality due to significantly growing data volumes, variety and variability, along with onerous new compliance requirements.

Effective data virtualization can improve data governance in numerous ways.

Five Requirements for More Effective Data Governance
Many articles and white papers define data governance, so it does not make sense to include a lengthy treatment here.  However, it is helpful to identify data governance's most critical requirements.

Data governance is a set of well-defined policies and practices designed to ensure that data is:

  • Accessible - Can the people who need it access the data they need? Does the data match the format the user requires?
  • Secure - Are authorized people the only ones who can access the data? Are non-authorized users prevented from accessing it?
  • Consistent - When two users seek the "same" piece of data, is it actually the same data? Have multiple versions been rationalized?
  • High Quality - Is the data accurate? Has it been conformed to meet agreed standards?
  • Auditable - Where did the data come from? Is the lineage clear? Does IT know who is using it and for what purpose?

Data Virtualization Helps Five Ways
Enterprises cannot buy data governance solutions off-the-shelf because effective data governance requires complex policies and practices, supported by software technology, integrated across the wider enterprise IT architecture.

As such, enterprises are turning to enabling technologies such as data virtualization support the accessibility, security, consistency, quality and auditability capabilities required for effective data governance.

Data Accessibility
It is generally agreed that as much as 80 percent of any new development effort is spent on data integration, making data access--rather than developing the application--the most time-consuming and expensive activity.

Most users access their data via business intelligence (BI) and reporting applications.  These applications typically rely on data integration middleware to access and format the data, before the application displays it.  So, ensuring proper governance falls on the data integration middleware.

By eliminating the need for the physical builds and testing that replication and consolidation approaches require, data virtualization is more agile and cost-effective method to access, integrate, and deliver data.  This agility lets enterprise provide data access faster and more easily.

Data Security
Ensuring that only authorized users can see appropriate data and nothing more is a critical data governance requirement.  This is a straightforward task for single systems and small user counts, but becomes more complex and difficult in larger enterprises with hundreds of systems and thousands of users.

As a first step, many enterprises have implemented single-sign-on technologies that allow individuals to be uniquely authenticated in many diverse systems. However, implementing security policies (i.e., authorization to see or use certain data) in individual source systems alone is often insufficient to ensure the appropriate enterprise-wide data security.  For some hyper-sensitive data, encryption as it moves through the network is a further requirement.

Data virtualization not only leverages single-sign-on capabilities to authorize and authenticate individuals, it can also encrypt any and all data.  As such, data virtualization becomes the data governance focal point for implementing security policies across multiple data sources and consumers.

Data Consistency
Consider the following commonplace scenario:  Two people attend a meeting with reports or graphs generated from the "same" data, but they show different numbers or results. Likely, they believed they were using the same data.  In reality, they were each using their own replicated, consolidated, aggregated version of the data.

Data virtualization allows enterprises to prevent this scenario from occurring by establishing consistent and complete data canonicals applicable across all aspects of business use.

Data Quality
Correct and complete data is a critical data governance requirement.  However, data quality is often implemented as an afterthought to data creation and modification, and it is usually performed during data consolidation.  This approach impedes the achievement of good data quality across the enterprise.

The modern trend in data quality and governance, however, is to push the practices of ensuring quality data back toward the source systems, so that data is of the highest quality right from the start.

Data virtualization leverages these "systems of record" when delivering data to the consumer, so it naturally delivers high-quality data. In addition, data virtualization allows data quality practices like enrichment and standardization to occur inline, giving the data stewards more options for ensuring data is of the highest quality when it reaches the consumer.

Data Auditablity
On the data source side, good data governance policy requires that IT can explain where data comes from, and prove its source. On the data consumer side, good data governance policy requires that IT show who used the data, and how it was used.

Traditional data integration copies data from one place to another.  As a result, the copied data becomes "disconnected" from the source, making it difficult to establish a complete source-to-consumer audit trail.

Data virtualization integrates data directly from the original source and delivers it directly to the consumer.  This end-to-end flow, without creating a disconnected copy of the data in the middle, simplifies and strengthens data governance. When auditing is required, full lineage is readily available at anytime within the data virtualization metadata and transaction histories.

As data governance becomes increasingly prevalent in enterprise information management strategies, forward-looking organizations are deploying methods that simplify data governance.  Data virtualization platforms such as Composite 6 not only makes data governance easier in practice, but it also shortens the time to begin achieving the data governance benefits of consistent, secure high-quality data for more intelligent business decision-making.

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.

@MicroservicesExpo Stories
SYS-CON Events announced today that G2G3 will exhibit at SYS-CON's @DevOpsSummit Silicon Valley, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Based on a collective appreciation for user experience, design, and technology, G2G3 is uniquely qualified and motivated to redefine how organizations and people engage in an increasingly digital world.
If you are new to Python, you might be confused about the different versions that are available. Although Python 3 is the latest generation of the language, many programmers still use Python 2.7, the final update to Python 2, which was released in 2010. There is currently no clear-cut answer to the question of which version of Python you should use; the decision depends on what you want to achieve. While Python 3 is clearly the future of the language, some programmers choose to remain with Py...
“All our customers are looking at the cloud ecosystem as an important part of their overall product strategy. Some see it evolve as a multi-cloud / hybrid cloud strategy, while others are embracing all forms of cloud offerings like PaaS, IaaS and SaaS in their solutions,” noted Suhas Joshi, Vice President – Technology, at Harbinger Group, in this exclusive Q&A with Cloud Expo Conference Chair Roger Strukhoff.
Opinions on how best to package and deliver applications are legion and, like many other aspects of the software world, are subject to recurring trend cycles. On the server-side, the current favorite is container delivery: a “full stack” approach in which your application and everything it needs to run are specified in a container definition. That definition is then “compiled” down to a container image and deployed by retrieving the image and passing it to a container runtime to create a running...
Clearly the way forward is to move to cloud be it bare metal, VMs or containers. One aspect of the current public clouds that is slowing this cloud migration is cloud lock-in. Every cloud vendor is trying to make it very difficult to move out once a customer has chosen their cloud. In his session at 17th Cloud Expo, Naveen Nimmu, CEO of Clouber, Inc., will advocate that making the inter-cloud migration as simple as changing airlines would help the entire industry to quickly adopt the cloud wit...
As the world moves towards more DevOps and microservices, application deployment to the cloud ought to become a lot simpler. The microservices architecture, which is the basis of many new age distributed systems such as OpenStack, NetFlix and so on, is at the heart of Cloud Foundry - a complete developer-oriented Platform as a Service (PaaS) that is IaaS agnostic and supports vCloud, OpenStack and AWS. In his session at 17th Cloud Expo, Raghavan "Rags" Srinivas, an Architect/Developer Evangeli...
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...
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, Bradley Holt, Developer Advocate at IBM Cloud Data Services, will demonstrate 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, ...
Despite all the talk about public cloud services and DevOps, you would think the move to cloud for enterprises is clear and simple. But in a survey of almost 1,600 IT decision makers across the USA and Europe, the state of the cloud in enterprise today is still fraught with considerable frustration. The business case for apps in the real world cloud is hybrid, bimodal, multi-platform, and difficult. Download this report commissioned by NTT Communications to see the insightful findings – registra...
Application availability is not just the measure of “being up”. Many apps can claim that status. Technically they are running and responding to requests, but at a rate which users would certainly interpret as being down. That’s because excessive load times can (and will be) interpreted as “not available.” That’s why it’s important to view ensuring application availability as requiring attention to all its composite parts: scalability, performance, and security.
SYS-CON Events announced today that HPM Networks will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. For 20 years, HPM Networks has been integrating technology solutions that solve complex business challenges. HPM Networks has designed solutions for both SMB and enterprise customers throughout the San Francisco Bay Area.
There once was a time when testers operated on their own, in isolation. They’d huddle as a group around the harsh glow of dozens of CRT monitors, clicking through GUIs and recording results. Anxiously, they’d wait for the developers in the other room to fix the bugs they found, yet they’d frequently leave the office disappointed as issues were filed away as non-critical. These teams would rarely interact, save for those scarce moments when a coder would wander in needing to reproduce a particula...
All we need to do is have our teams self-organize, and behold! Emergent design and/or architecture springs up out of the nothingness! If only it were that easy, right? I follow in the footsteps of so many people who have long wondered at the meanings of such simple words, as though they were dogma from on high. Emerge? Self-organizing? Profound, to be sure. But what do we really make of this sentence?
As we increasingly rely on technology to improve the quality and efficiency of our personal and professional lives, software has become the key business differentiator. Organizations must release software faster, as well as ensure the safety, security, and reliability of their applications. The option to make trade-offs between time and quality no longer exists—software teams must deliver quality and speed. To meet these expectations, businesses have shifted from more traditional approaches of d...
Information overload has infiltrated our lives. From the amount of news available and at our fingertips 24/7, to the endless choices we have when making a simple purchase, to the quantity of emails we receive on a given day, it’s increasingly difficult to sift out the details that really matter. When you envision your cloud monitoring system, the same thinking applies. We receive a lot of useless data that gets fed into the system, and the reality is no one in IT or DevOps has the time to manu...
Last month, my partners in crime – Carmen DeArdo from Nationwide, Lee Reid, my colleague from IBM and I wrote a 3-part series of blog posts on We titled our posts the Simple Math, Calculus and Art of DevOps. I would venture to say these are must-reads for any organization adopting DevOps. We examined all three ascpects – the Cultural, Automation and Process improvement side of DevOps. One of the key underlying themes of the three posts was the need for Cultural change – things like t...
It is with great pleasure that I am able to announce that Jesse Proudman, Blue Box CTO, has been appointed to the position of IBM Distinguished Engineer. Jesse is the first employee at Blue Box to receive this honor, and I’m quite confident there will be more to follow given the amazing talent at Blue Box with whom I have had the pleasure to collaborate. I’d like to provide an overview of what it means to become an IBM Distinguished Engineer.
I’ve been thinking a bit about microservices (μServices) recently. My immediate reaction is to think: “Isn’t this just yet another new term for the same stuff, Web Services->SOA->APIs->Microservices?” Followed shortly by the thought, “well yes it is, but there are some important differences/distinguishing factors.” Microservices is an evolutionary paradigm born out of the need for simplicity (i.e., get away from the ESB) and alignment with agile (think DevOps) and scalable (think Containerizati...
The cloud has reached mainstream IT. Those 18.7 million data centers out there (server closets to corporate data centers to colocation deployments) are moving to the cloud. In his session at 17th Cloud Expo, Achim Weiss, CEO & co-founder of ProfitBricks, will share how two companies – one in the U.S. and one in Germany – are achieving their goals with cloud infrastructure. More than a case study, he will share the details of how they prioritized their cloud computing infrastructure deployments ...
DevOps Summit at Cloud Expo 2014 Silicon Valley was a terrific event for us. The Qubell booth was crowded on all three days. We ran demos every 30 minutes with folks lining up to get a seat and usually standing around. It was great to meet and talk to over 500 people! My keynote was well received and so was Stan's joint presentation with RingCentral on Devops for BigData. I also participated in two Power Panels – ‘Women in Technology’ and ‘Why DevOps Is Even More Important than You Think,’ both ...