Click here to close now.




















Welcome!

Related Topics: @BigDataExpo, Microservices Expo, Containers Expo Blog, @CloudExpo, SDN Journal, @DevOpsSummit

@BigDataExpo: Article

Shots Across the Data Lake

Big Data Analytics Range War

Range Wars
The settling of the American West brought many battles between ranchers and farmers over access to water. The farmers claimed land near the water and fenced it to protect their crops. But the farmers' fences blocked the ranchers' cattle from reaching the water. Fences were cut; shots were fired; it got ugly.

About a century later, with the first tech land rush of the late1980s and early '90s - before the Web - came battles between those who wanted software and data to be centrally controlled on corporate servers and those who wanted it to be distributed to workers' desktops. Oracle and IBM versus Microsoft and Lotus. Database versus Spreadsheet.

Now, with the advent of SoMoClo (Social, Mobile, Cloud) technologies and the Big Data they create, have come battles between groups on different sides of the "Data Lake" over how it should be controlled, managed, used, and paid for. Operations versus Strategy. BI versus Data Science. Governance versus Discovery.  Oversight versus Insight.

The range wars of the Old West were not a fight over property ownership, but rather over access to natural resources. The farmers and their fences won that one, for the most part.

Those tech battles in the enterprise are fights over access to the "natural" resource of data and to the tools for managing and analyzing it.

In the '90s and most of the following decade, the farmers won again. Data was harvested from corporate systems and piled high in warehouses, with controlled accessed by selected users for milling it into Business Intelligence.

But now in the era of Big Data Analytics, it is not looking so good for the farmers. The public cloud, open source databases, and mobile tablets are all chipping away at the centralized command-and-control infrastructure down by the riverside.  And, new cloud based Big Data analytics solution providers like BigML, Yottamine (my company) and others are putting unprecedented analytical power in the hands of the data ranchers.

A Rainstorm, Not a River
Corporate data is like a river - fed by transaction tributaries and dammed into databases for controlled use in business irrigation.

Big Data is more like a relentless rainstorm - falling heavily from the cloud and flowing freely over and around corporate boundaries, with small amounts channeled into analytics and most draining to the digital deep.

Many large companies are failing to master this new data ecology because they are trying to do Big Data analytics in the same way, with the same tools as they did with BI, and that will never work. There is a lot more data, of course, but it is different data - tweets, posts, pictures, clicks, GPS, etc., not RDBMS records - and different analytics - discovery and prediction, not reporting and evaluation.

Successfully gleaning business value from the Big Data rainstorm requires new tools and maybe new rules.

Embracing Shadows
These days, tech industry content readers frequently see the term "Shadow IT" referring to how business people are using new technologies to process and analyze information without the help of "real IT".  SoMoClo by another, more sinister name.  Traditionalists see it as a threat to corporate security and stability and modernists a boon to cost control and competitiveness.

But, it really doesn't matter which view is right.  Advanced analytics on Big Data takes more computing horsepower than most companies can afford.  Jobs like machine learning from the Twitter Fire Hose will take hundreds or even thousands of processor cores and terabytes of memory (not disk!) to build accurate and timely predictive models.

Most companies will have no choice but to embrace the shadow and use AWS or some other elastic cloud computing service, and new, more scalable software tools to do effective large scale advanced analytics.

Time for New Rules?
Advanced Big Data analytics projects, the ones of a scale that only the cloud can handle, are being held back by reservations over privacy, security and liability that in most cases turn out to be needless concerns.

If the data to be analyzed were actual business records for customers and transactions as it is in the BI world, those concerns would be reasonable.  But more often than not, advanced analytics does not work that way.  Machine learning and other advanced algorithms do not look at business data. They look at statistical information derived from business data, usually in the form of an inscrutable mass of binary truth values that is only actionable to the algorithm.  That is what gets sent to the cloud, not the customer file.

If you want to do advanced cloud-scale Big Data analytics and somebody is telling you it is against the rules, you should look at the rules.  They probably don't even apply to what you are trying to do.

First User Advantage
Advanced Big Data analytics is sufficiently new and difficult that not many companies are doing much of it yet.  But where BI helps you run a tighter ship, Big Data analytics helps you sink your enemy's fleet.

Some day, technologies like high performance statistical machine learning will be ubiquitous and the business winners will be the ones who uses the software best.  But right now, solutions are still scarce and the business winners are ones willing to use the software at all.

More Stories By Tim Negris

Tim Negris is SVP, Marketing & Sales at Yottamine Analytics, a pioneering Big Data machine learning software company. He occasionally authors software industry news analysis and insights on Ulitzer.com, is a 25-year technology industry veteran with expertise in software development, database, networking, social media, cloud computing, mobile apps, analytics, and other enabling technologies.

He is recognized for ability to rapidly translate complex technical information and concepts into compelling, actionable knowledge. He is also widely credited with coining the term and co-developing the concept of the “Thin Client” computing model while working for Larry Ellison in the early days of Oracle.

Tim has also held a variety of executive and consulting roles in a numerous start-ups, and several established companies, including Sybase, Oracle, HP, Dell, and IBM. He is a frequent contributor to a number of publications and sites, focusing on technologies and their applications, and has written a number of advanced software applications for social media, video streaming, and music education.

Latest Stories
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...
For IoT to grow as quickly as analyst firms’ project, a lot is going to fall on developers to quickly bring applications to market. But the lack of a standard development platform threatens to slow growth and make application development more time consuming and costly, much like we’ve seen in the mobile space. In his session at @ThingsExpo, Mike Weiner, Product Manager of the Omega DevCloud with KORE Telematics Inc., discussed the evolving requirements for developers as IoT matures and conducte...
Providing the needed data for application development and testing is a huge headache for most organizations. The problems are often the same across companies - speed, quality, cost, and control. Provisioning data can take days or weeks, every time a refresh is required. Using dummy data leads to quality problems. Creating physical copies of large data sets and sending them to distributed teams of developers eats up expensive storage and bandwidth resources. And, all of these copies proliferating...
Malicious agents are moving faster than the speed of business. Even more worrisome, most companies are relying on legacy approaches to security that are no longer capable of meeting current threats. In the modern cloud, threat diversity is rapidly expanding, necessitating more sophisticated security protocols than those used in the past or in desktop environments. Yet companies are falling for cloud security myths that were truths at one time but have evolved out of existence.
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...
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...
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.
The time is ripe for high speed resilient software defined storage solutions with unlimited scalability. ISS has been working with the leading open source projects and developed a commercial high performance solution that is able to grow forever without performance limitations. In his session at Cloud Expo, Alex Gorbachev, President of Intelligent Systems Services Inc., shared foundation principles of Ceph architecture, as well as the design to deliver this storage to traditional SAN storage co...
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,...
MuleSoft has announced the findings of its 2015 Connectivity Benchmark Report on the adoption and business impact of APIs. The findings suggest traditional businesses are quickly evolving into "composable enterprises" built out of hundreds of connected software services, applications and devices. Most are embracing the Internet of Things (IoT) and microservices technologies like Docker. A majority are integrating wearables, like smart watches, and more than half plan to generate revenue with ...
The Cloud industry has moved from being more than just being able to provide infrastructure and management services on the Cloud. Enter a new era of Cloud computing where monetization’s services through the Cloud are an essential piece of strategy to feed your organizations bottom-line, your revenue and Profitability. In their session at 16th Cloud Expo, Ermanno Bonifazi, CEO & Founder of Solgenia, and Ian Khan, Global Strategic Positioning & Brand Manager at Solgenia, discussed how to easily o...
The Internet of Everything (IoE) brings together people, process, data and things to make networked connections more relevant and valuable than ever before – transforming information into knowledge and knowledge into wisdom. IoE creates new capabilities, richer experiences, and unprecedented opportunities to improve business and government operations, decision making and mission support capabilities.
In their session at 17th Cloud Expo, Hal Schwartz, CEO of Secure Infrastructure & Services (SIAS), and Chuck Paolillo, CTO of Secure Infrastructure & Services (SIAS), provide a study of cloud adoption trends and the power and flexibility of IBM Power and Pureflex cloud solutions. In his role as CEO of Secure Infrastructure & Services (SIAS), Hal Schwartz provides leadership and direction for the company.
Rapid innovation, changing business landscapes, and new IT demands force businesses to make changes quickly. The DevOps approach is a way to increase business agility through collaboration, communication, and integration across different teams in the IT organization. In his session at DevOps Summit, Chris Van Tuin, Chief Technologist for the Western US at Red Hat, will discuss: The acceleration of application delivery for the business with DevOps
The speed of software changes in growing and large scale rapid-paced DevOps environments presents a challenge for continuous testing. Many organizations struggle to get this right. Practices that work for small scale continuous testing may not be sufficient as the requirements grow. In his session at DevOps Summit, Marc Hornbeek, Sr. Solutions Architect of DevOps continuous test solutions at Spirent Communications, explained the best practices of continuous testing at high scale, which is rele...