Welcome!

Microservices Expo Authors: Pat Romanski, Liz McMillan, Elizabeth White, Yeshim Deniz, Zakia Bouachraoui

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

@DXWorldExpo: Article

Big Data Morphs

Big Data is becoming the art and science of actually using information to make decisions

There is a backlash growing against the term "Big Data." Some of the negativity is just because of hype; people are attaching the name to their company for any reason, absurd reasons, and/or no reason at all.

I recently saw a pitch by a new venture that "creates Big Data for your business." Literally, they will create some for you if you don't already have any. It's hardly the most egregious example. We've seen mega-vendors twist their acquisitions into "Big Data" products, even though some of these technologies are 32-bit only, or have data sheets trumpeting claims like "handle up to 10M records." Big Data, indeed.

Another driver of the backlash is the cognitive dissonance that results from being told Big Data is all about huge data volumes or infrastructure that deal with it. Big Data has clearly emerged in the context of volume, but most companies are not Facebook, Zynga or the Large Hadron Collider. They simply do not have trucks filled with data unexpectedly arriving at the loading docks. Technical and data managers who grok the nature of the problem reject Big Data as a term in this context. They may even call it BS.

Yet another reason is disappointment and/or failure, as a result of overinvesting in "the volume problem." I recently spoke with a large bank that jumped on a popular open source product bandwagon, years before everyone else. They spent a fortune to do what they could have done much more easily and cheaply with existing tools. The lead manager admitted their team was more "driven by volume" and the hyped technologies used by exciting companies. They didn't consider that solving a different problem might produce more value for the bank, much more cost-effectively.

Where is Big Data headed? The good news is that rather than being rejected, the phenomenon of Big Data is morphing. It is becoming the art and science of actually using information to make decisions - more than ever before. And it is being driven by the success of companies that actually do that.

The real Big Data is driven by several factors... for one, the rapid creation of data, including voluminous data, from technical systems that interact with lots of people, where all those interactions are a multiple of the number of transactions that may ultimately occur. Another is the significant fall in the costs of storage and compute power, plus the emergence of 64-bit platforms that can use far more memory. But the real, underlying driver is...value.

Companies that have combined data volume with ubiquitous computing power and have actually brought the information together and analyzed it have found more... more customers, more profits and more growth. This is why Big Data is truly a phenomenon. Better approaches can be realized most everywhere. It cuts across industries, sectors, even countries. It is not just about things we have already defined well: volume, velocity, variety, etc. It is about the need to compete, and win, using information. Sometimes it is about figuring out how to get the data to make a better decision, and not just moving forward with gut instinct, in lieu of that.

It will stay big because when you look at what it really takes to make better decisions, there is a lot to it. Structured and unstructured. Internal and external. SQL and NoSQL. Volume, velocity and variety. Big Data is the discovery of how much data is not being used, and then realizing that changing that fact is the real challenge...and the real opportunity.

More Stories By Sid Probstein

Sid Probstein is the Chief Technology Officer of Attivio, responsible for product & technology strategy, implementation and delivery. He has over 20 years of experience in managing R&D organizations and delivering award-winning, high-value enterprise software and solutions. Previously, he was CTO at GetConnected, Inc. (GCi), a market-leading transaction processing platform enabling the sale of digital services. He was also Vice President of Technology at Fast Search & Transfer, a global enterprise search company that is now part of Microsoft Corporation.

Prior to Fast, Sid was Vice President of Engineering at Northern Light Technology, where he was responsible for production of the first enterprise version of the search engine. He also served as Director of Software Engineering at Freemark Communications, and a Principal Architect/System Manager at John Hancock Financial Services.

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.


Microservices Articles
Discussions of cloud computing have evolved in recent years from a focus on specific types of cloud, to a world of hybrid cloud, and to a world dominated by the APIs that make today's multi-cloud environments and hybrid clouds possible. In this Power Panel at 17th Cloud Expo, moderated by Conference Chair Roger Strukhoff, panelists addressed the importance of customers being able to use the specific technologies they need, through environments and ecosystems that expose their APIs to make true ...
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Modern software design has fundamentally changed how we manage applications, causing many to turn to containers as the new virtual machine for resource management. As container adoption grows beyond stateless applications to stateful workloads, the need for persistent storage is foundational - something customers routinely cite as a top pain point. In his session at @DevOpsSummit at 21st Cloud Expo, Bill Borsari, Head of Systems Engineering at Datera, explored how organizations can reap the bene...
In his session at 20th Cloud Expo, Mike Johnston, an infrastructure engineer at Supergiant.io, discussed how to use Kubernetes to set up a SaaS infrastructure for your business. Mike Johnston is an infrastructure engineer at Supergiant.io with over 12 years of experience designing, deploying, and maintaining server and workstation infrastructure at all scales. He has experience with brick and mortar data centers as well as cloud providers like Digital Ocean, Amazon Web Services, and Rackspace. H...
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term.
Most DevOps journeys involve several phases of maturity. Research shows that the inflection point where organizations begin to see maximum value is when they implement tight integration deploying their code to their infrastructure. Success at this level is the last barrier to at-will deployment. Storage, for instance, is more capable than where we read and write data. In his session at @DevOpsSummit at 20th Cloud Expo, Josh Atwell, a Developer Advocate for NetApp, will discuss the role and value...
SYS-CON Events announced today that DatacenterDynamics has been named “Media Sponsor” of SYS-CON's 18th International Cloud Expo, which will take place on June 7–9, 2016, at the Javits Center in New York City, NY. DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
Consumer-driven contracts are an essential part of a mature microservice testing portfolio enabling independent service deployments. In this presentation we'll provide an overview of the tools, patterns and pain points we've seen when implementing contract testing in large development organizations.
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...