Welcome!

Containers Expo Blog Authors: Elizabeth White, Pat Romanski, Stefan Bernbo, SmartBear Blog, Rishi Bhargava

Related Topics: Containers Expo Blog, Java IoT, Microservices Expo, @BigDataExpo, SDN Journal

Containers Expo Blog: Article

Take Big Advantage of Your Data

A fresh look at data virtualization

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:

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.

You can also deploy data virtualization in a more enterprise-wide manner, with common semantics, shared objects and architecture, and an Integration Competency Center.

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:

Conclusion
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.

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.

@ThingsExpo Stories
Machine Learning helps make complex systems more efficient. By applying advanced Machine Learning techniques such as Cognitive Fingerprinting, wind project operators can utilize these tools to learn from collected data, detect regular patterns, and optimize their own operations. In his session at 18th Cloud Expo, Stuart Gillen, Director of Business Development at SparkCognition, discussed how research has demonstrated the value of Machine Learning in delivering next generation analytics to imp...
The 19th International Cloud Expo has announced that its Call for Papers is open. Cloud Expo, to be held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, brings together Cloud Computing, Big Data, Internet of Things, DevOps, Digital Transformation, 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 opportuni...
The Internet of Things will challenge the status quo of how IT and development organizations operate. Or will it? Certainly the fog layer of IoT requires special insights about data ontology, security and transactional integrity. But the developmental challenges are the same: People, Process and Platform. In his session at @ThingsExpo, Craig Sproule, CEO of Metavine, demonstrated how to move beyond today's coding paradigm and shared the must-have mindsets for removing complexity from the develo...
SYS-CON Events announced today that MangoApps will exhibit at the 19th International Cloud Expo, which will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA. MangoApps provides modern company intranets and team collaboration software, allowing workers to stay connected and productive from anywhere in the world and from any device.
Large scale deployments present unique planning challenges, system commissioning hurdles between IT and OT and demand careful system hand-off orchestration. In his session at @ThingsExpo, Jeff Smith, Senior Director and a founding member of Incenergy, will discuss some of the key tactics to ensure delivery success based on his experience of the last two years deploying Industrial IoT systems across four continents.
Basho Technologies has announced the latest release of Basho Riak TS, version 1.3. Riak TS is an enterprise-grade NoSQL database optimized for Internet of Things (IoT). The open source version enables developers to download the software for free and use it in production as well as make contributions to the code and develop applications around Riak TS. Enhancements to Riak TS make it quick, easy and cost-effective to spin up an instance to test new ideas and build IoT applications. In addition to...
Identity is in everything and customers are looking to their providers to ensure the security of their identities, transactions and data. With the increased reliance on cloud-based services, service providers must build security and trust into their offerings, adding value to customers and improving the user experience. Making identity, security and privacy easy for customers provides a unique advantage over the competition.
"We've discovered that after shows 80% if leads that people get, 80% of the conversations end up on the show floor, meaning people forget about it, people forget who they talk to, people forget that there are actual business opportunities to be had here so we try to help out and keep the conversations going," explained Jeff Mesnik, Founder and President of ContentMX, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
"There's a growing demand from users for things to be faster. When you think about all the transactions or interactions users will have with your product and everything that is between those transactions and interactions - what drives us at Catchpoint Systems is the idea to measure that and to analyze it," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York Ci...
Internet of @ThingsExpo, taking place November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA, is co-located with the 19th International Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry players in the world and ThingsExpo Silicon Valley Call for Papers is now open.
I wanted to gather all of my Internet of Things (IOT) blogs into a single blog (that I could later use with my University of San Francisco (USF) Big Data “MBA” course). However as I started to pull these blogs together, I realized that my IOT discussion lacked a vision; it lacked an end point towards which an organization could drive their IOT envisioning, proof of value, app dev, data engineering and data science efforts. And I think that the IOT end point is really quite simple…
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Extracting business value from Internet of Things (IoT) data doesn’t happen overnight. There are several requirements that must be satisfied, including IoT device enablement, data analysis, real-time detection of complex events and automated orchestration of actions. Unfortunately, too many companies fall short in achieving their business goals by implementing incomplete solutions or not focusing on tangible use cases. In his general session at @ThingsExpo, Dave McCarthy, Director of Products...
WebRTC is bringing significant change to the communications landscape that will bridge the worlds of web and telephony, making the Internet the new standard for communications. Cloud9 took the road less traveled and used WebRTC to create a downloadable enterprise-grade communications platform that is changing the communication dynamic in the financial sector. In his session at @ThingsExpo, Leo Papadopoulos, CTO of Cloud9, discussed the importance of WebRTC and how it enables companies to focus...
Verizon Communications Inc. (NYSE, Nasdaq: VZ) and Yahoo! Inc. (Nasdaq: YHOO) have entered into a definitive agreement under which Verizon will acquire Yahoo's operating business for approximately $4.83 billion in cash, subject to customary closing adjustments. Yahoo informs, connects and entertains a global audience of more than 1 billion monthly active users** -- including 600 million monthly active mobile users*** through its search, communications and digital content products. Yahoo also co...
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
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 best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...