Click here to close now.




















Welcome!

Microservices Expo Authors: Tim Hinds, AppDynamics Blog, Liz McMillan, Pat Romanski, Trevor Parsons

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.

Bottom-line
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
Approved this February by the Internet Engineering Task Force (IETF), HTTP/2 is the first major update to HTTP since 1999, when HTTP/1.1 was standardized. Designed with performance in mind, one of the biggest goals of HTTP/2 implementation is to decrease latency while maintaining a high-level compatibility with HTTP/1.1. Though not all testing activities will be impacted by the new protocol, it's important for testers to be aware of any changes moving forward.
The Internet of Things. Cloud. Big Data. Real-Time Analytics. To those who do not quite understand what these phrases mean (and let’s be honest, that’s likely to be a large portion of the world), words like “IoT” and “Big Data” are just buzzwords. The truth is, the Internet of Things encompasses much more than jargon and predictions of connected devices. According to Parker Trewin, Senior Director of Content and Communications of Aria Systems, “IoT is big news because it ups the ante: Reach out ...
"We got started as search consultants. On the services side of the business we have help organizations save time and save money when they hit issues that everyone more or less hits when their data grows," noted Otis Gospodnetić, Founder of Sematext, in this SYS-CON.tv interview at @DevOpsSummit, held June 9-11, 2015, at the Javits Center in New York City.
"We've just seen a huge influx of new partners coming into our ecosystem, and partners building unique offerings on top of our API set," explained Seth Bostock, Chief Executive Officer at IndependenceIT, in this SYS-CON.tv interview at 16th Cloud Expo, held June 9-11, 2015, at the Javits Center in New York City.
Learn how to solve the problem of keeping files in sync between multiple Docker containers. In his session at 16th Cloud Expo, Aaron Brongersma, Senior Infrastructure Engineer at Modulus, discussed using rsync, GlusterFS, EBS and Bit Torrent Sync. He broke down the tools that are needed to help create a seamless user experience. In the end, can we have an environment where we can easily move Docker containers, servers, and volumes without impacting our applications? He shared his results so yo...
Explosive growth in connected devices. Enormous amounts of data for collection and analysis. Critical use of data for split-second decision making and actionable information. All three are factors in making the Internet of Things a reality. Yet, any one factor would have an IT organization pondering its infrastructure strategy. How should your organization enhance its IT framework to enable an Internet of Things implementation? In his session at @ThingsExpo, James Kirkland, Red Hat's Chief Arch...
Auto-scaling environments, micro-service architectures and globally-distributed teams are just three common examples of why organizations today need automation and interoperability more than ever. But is interoperability something we simply start doing, or does it require a reexamination of our processes? And can we really improve our processes without first making interoperability a requirement for how we choose our tools?
Microservices are individual units of executable code that work within a limited framework. They are extremely useful when placed within an architecture of numerous microservices. On June 24th, 2015 I attended a webinar titled “How to Share Share-Nothing Microservices,” hosted by Jason Bloomberg, the President of Intellyx, and Scott Edwards, Director Product Marketing for Service Virtualization at CA Technologies. The webinar explained how to use microservices to your advantage in order to deliv...
Public Cloud IaaS started its life in the developer and startup communities and has grown rapidly to a $20B+ industry, but it still pales in comparison to how much is spent worldwide on IT: $3.6 trillion. In fact, there are 8.6 million data centers worldwide, the reality is many small and medium sized business have server closets and colocation footprints filled with servers and storage gear. While on-premise environment virtualization may have peaked at 75%, the Public Cloud has lagged in adop...
How do you securely enable access to your applications in AWS without exposing any attack surfaces? The answer is usually very complicated because application environments morph over time in response to growing requirements from your employee base, your partners and your customers. In his session at @DevOpsSummit, Haseeb Budhani, CEO and Co-founder of Soha, shared five common approaches that DevOps teams follow to secure access to applications deployed in AWS, Azure, etc., and the friction an...
The Software Defined Data Center (SDDC), which enables organizations to seamlessly run in a hybrid cloud model (public + private cloud), is here to stay. IDC estimates that the software-defined networking market will be valued at $3.7 billion by 2016. Security is a key component and benefit of the SDDC, and offers an opportunity to build security 'from the ground up' and weave it into the environment from day one. In his session at 16th Cloud Expo, Reuven Harrison, CTO and Co-Founder of Tufin,...
Digital Transformation is the ultimate goal of cloud computing and related initiatives. The phrase is certainly not a precise one, and as subject to hand-waving and distortion as any high-falutin' terminology in the world of information technology. Yet it is an excellent choice of words to describe what enterprise IT—and by extension, organizations in general—should be working to achieve. Digital Transformation means: handling all the data types being found and created in the organizat...
JavaScript is primarily a client-based dynamic scripting language most commonly used within web browsers as client-side scripts to interact with the user, browser, and communicate asynchronously to servers. If you have been part of any web-based development, odds are you have worked with JavaScript in one form or another. In this article, I'll focus on the aspects of JavaScript that are relevant within the Node.js environment.
Discussions about cloud computing are evolving into discussions about enterprise IT in general. As enterprises increasingly migrate toward their own unique clouds, new issues such as the use of containers and microservices emerge to keep things interesting. In this Power Panel at 16th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the state of cloud computing today, and what enterprise IT professionals need to know about how the latest topics and trends affect t...
This week, I joined SOASTA as Senior Vice President of Performance Analytics. Given my background in cloud computing and distributed systems operations — you may have read my blogs on CNET or GigaOm — this may surprise you, but I want to explain why this is the perfect time to take on this opportunity with this team. In fact, that’s probably the best way to break this down. To explain why I’d leave the world of infrastructure and code for the world of data and analytics, let’s explore the timing...
Containers are changing the security landscape for software development and deployment. As with any security solutions, security approaches that work for developers, operations personnel and security professionals is a requirement. In his session at DevOps Summit, Kevin Gilpin, CTO and Co-Founder of Conjur, will discuss various security considerations for container-based infrastructure and related DevOps workflows.
Microservices are hot. And for good reason. To compete in today’s fast-moving application economy, it makes sense to break large, monolithic applications down into discrete functional units. Such an approach makes it easier to update and add functionalities (text-messaging a customer, calculating sales tax for a specific geography, etc.) and get those updates / adds into production fast. In fact, some would argue that microservices are a prerequisite for true continuous delivery. But is it too...
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 16th Cloud Expo, Phil Jackson, Lead Technology Evangelist at SoftLayer, broke down what we've got to work with and discuss the benefits and pitfalls to discover how we can best use them to d...
You often hear the two titles of "DevOps" and "Immutable Infrastructure" used independently. In his session at DevOps Summit, John Willis, Technical Evangelist for Docker, covered the union between the two topics and why this is important. He provided an overview of Immutable Infrastructure then showed how an Immutable Continuous Delivery pipeline can be applied as a best practice for "DevOps." He ended the session with some interesting case study examples.
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.