Welcome!

@BigDataExpo Authors: Elizabeth White, Peter Silva, Liz McMillan, David Sprott, Pat Romanski

News Feed Item

Market Challenges for Big Data Solutions Providers

NEW YORK, Feb. 4, 2014 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Market Challenges for Big Data Solutions Providers
http://www.reportlinker.com/p02005754/Market-Challenges-for-Big-Data-Solutions-Providers.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Open_Source_and_Free_Software

On the brink of any new high tech era, the temptation is strong for solution providers to hype the benefits and minimize the disruption that such major shifts can produce. In these early days, one of the most important missing pieces in the Big Data puzzle has to do with accurately articulating both the potential payoffs and the attendant challenges. In this paper, Frost & Sullivan ventures some observations about these communication challenges. To illustrate these observations, we take a look at how Oracle is approaching the Big Data market, how Netflix defected from Oracle to Amazon Web Services (AWS), and how Salesforce.com opted to combine Oracle solutions with those of newer solution providers.

Introduction

Once upon a time, databases were static information repositories, housed on expensive mainframe computers, updated in planned and consistent cycles, and accessible only to those who could mount the drives, punch the cards and paper tapes, and decipher the cryptic output. Fast forward fifty years, and Excel lets everyone enter and retrieve whatever data they can gather, while organizations seem to have as many databases as they have departments, projects and accounting auditors.

Data storage options also have evolved, from basement vaults and offsite bunkers full of tapes and disc arrays, to data warehouses, mirrored systems, storage area networks, and instances in service provider network clouds.

Advances in computing power and network capacity have greatly expanded our ability to collect, store, analyze and transport the data needed to support our traditional social and economic activities; while at the same time they are stimulating the generation of vast new data stores. We generate this new data every time we use our smart phones and tablets to "go online" and check the weather, update our calendars, order a pizza, or download a podcast.
Companies like Amazon and Google pioneered the concept of Big Data—basically by using commodity servers, copious bandwidth and open sourced software platforms as substitutes for what was then the gold standard for data management: complex, special-purpose hardware and software running over carefully engineered networks. These early adopters discovered that their new environments were not only more cost-effective but also more scalable than traditional data processing, networking and storage solutions. While Big Data applications used by these online pioneers and by the scientific community (Big Science) have been well underway for a decade or more, successful implementations in more mainstream market segments are just beginning to accumulate.

There is a simple reason why so many different types of vendors have a stake in the multi-billion dollar market for Big Data solutions. It's the same reason why so many different types of organizations are trying to figure out how they might put Big Data to work in their own environments and on their own applications. Everyone senses that Big Data could be the next crucial and pervasive information technology, as transformative and necessary as its computing and networking antecedents have proven to be over the past fifty years.

On the brink of any new high tech era, the temptation is strong for solution providers to hype the benefits and minimize the disruption that such major shifts can produce. In these early days, one of the most important missing pieces in the Big Data puzzle has to do with accurately articulating both the potential payoffs and the attendant challenges. In this paper, Frost & Sullivan ventures some observations about these communication challenges. To illustrate these observations, we take a look at how Oracle is approaching the Big Data market, how Netflix defected from Oracle to Amazon Web Services (AWS), and how Salesforce.com opted to combine Oracle solutions with those of newer solution providers.

Oracle: How One Big Vendor Does Big Data

In a recent LinkedIn article posted by Mark Hurd, late of HP and now leading Oracle, Hurd mischaracterizes Big Data as one of several "modern business challenges," including mobile, social, real-time visibility and decision-making, and deeper and longer-lasting customer engagements and experiences. Although Big Data initiatives have already begun to address all the other items on Hurd's list, his solution is what he calls "truly modern IT systems," and he broadly dismisses legacy systems as "stuff in the basement that creates little or no value."

Perhaps it's a bit unfair to fault Hurd for using the kind of marketing message so common in the high-tech industry, which is often broadly criticized for over-simplification and an exaggerated sense of urgency. And it isn't a surprise that Hurd is again dissing legacy IT installations; after all, he made part of his reputation at HP by inverting the IT truism that legacy systems eat up % of most IT budgets, leaving only % for innovation and growth initiatives. However, when he claims that, by spending less than that % on these "truly modern IT systems," organizations could "liberate precious IT dollars from low-value or no-value infrastructure and integration" and "not only help drive customer-focused innovation, but also help to cut overall IT spending at the same time"—well, here we have a great example of the need to better articulate Big Data's promises and challenges.

Big traditional IT solution providers, like Oracle, who are pitching Big Data also may want to soft-pedal the urgency aspect for a while. That's because the "stuff in the basement that creates little or no value" is still a primary revenue generator for these vendors, who collect stiff fees for ongoing licensing and support. It's also the functional IT backbone of the installed base of customers who pay those fees. Neither these vendors nor their customers are really in a position to simply yank these systems out and start over with a clean sheet of paper.

Table Of Contents

1 | MARKETING CHALLENGES FOR BIG DATA SOLUTION PROVIDERS

BDA 2-01
1. Introduction
2. Oracle: How One Big Vendor Does Big Data
3. Netflix: New Solutions for New Companies with New Tactics
4. Salesforce.com: Having It Both Ways
5. Frost & Sullivan - The Last Word
6. About Frost & Sullivan

To order this report: Market Challenges for Big Data Solutions Providers
http://www.reportlinker.com/p02005754/Market-Challenges-for-Big-Data-Solutions-Providers.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Open_Source_and_Free_Software

__________________________
Contact Clare: [email protected]
US: (339)-368-6001
Intl: +1 339-368-6001

SOURCE Reportlinker

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

@BigDataExpo Stories
What are the successful IoT innovations from emerging markets? What are the unique challenges and opportunities from these markets? How did the constraints in connectivity among others lead to groundbreaking insights? In her session at @ThingsExpo, Carmen Feliciano, a Principal at AMDG, will answer all these questions and share how you can apply IoT best practices and frameworks from the emerging markets to your own business.
Ask someone to architect an Internet of Things (IoT) solution and you are guaranteed to see a reference to the cloud. This would lead you to believe that IoT requires the cloud to exist. However, there are many IoT use cases where the cloud is not feasible or desirable. In his session at @ThingsExpo, Dave McCarthy, Director of Products at Bsquare Corporation, will discuss the strategies that exist to extend intelligence directly to IoT devices and sensors, freeing them from the constraints of ...
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 ...
Cloud analytics is dramatically altering business intelligence. Some businesses will capitalize on these promising new technologies and gain key insights that’ll help them gain competitive advantage. And others won’t. Whether you’re a business leader, an IT manager, or an analyst, we want to help you and the people you need to influence with a free copy of “Cloud Analytics for Dummies,” the essential guide to this explosive new space for business intelligence.
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...
Traditional IT, great for stable systems of record, is struggling to cope with newer, agile systems of engagement requirements coming straight from the business. In his session at 18th Cloud Expo, William Morrish, General Manager of Product Sales at Interoute, outlined ways of exploiting new architectures to enable both systems and building them to support your existing platforms, with an eye for the future. Technologies such as Docker and the hyper-convergence of computing, networking and sto...
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...
With an estimated 50 billion devices connected to the Internet by 2020, several industries will begin to expand their capabilities for retaining end point data at the edge to better utilize the range of data types and sheer volume of M2M data generated by the Internet of Things. In his session at @ThingsExpo, Don DeLoach, CEO and President of Infobright, discussed the infrastructures businesses will need to implement to handle this explosion of data by providing specific use cases for filterin...
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, ...
Early adopters of IoT viewed it mainly as a different term for machine-to-machine connectivity or M2M. This is understandable since a prerequisite for any IoT solution is the ability to collect and aggregate device data, which is most often presented in a dashboard. The problem is that viewing data in a dashboard requires a human to interpret the results and take manual action, which doesn’t scale to the needs of IoT.
When building large, cloud-based applications that operate at a high scale, it’s important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. “Fly two mistakes high” is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee...
Internet of @ThingsExpo has announced today that Chris Matthieu has been named tech chair of Internet of @ThingsExpo 2016 Silicon Valley. The 6thInternet of @ThingsExpo will take place on November 1–3, 2016, at the Santa Clara Convention Center in Santa Clara, CA.
SYS-CON Events announced today the Enterprise IoT Bootcamp, being held November 1-2, 2016, in conjunction with 19th Cloud Expo | @ThingsExpo at the Santa Clara Convention Center in Santa Clara, CA. Combined with real-world scenarios and use cases, the Enterprise IoT Bootcamp is not just based on presentations but with hands-on demos and detailed walkthroughs. We will introduce you to a variety of real world use cases prototyped using Arduino, Raspberry Pi, BeagleBone, Spark, and Intel Edison. Y...
Much of IT terminology is often misused and misapplied. Modernization and transformation are two such terms. They are often used interchangeably even though they mean different things and have very different connotations. Indeed, it is somewhat safe to assume that in IT any transformative effort is likely to also have a modernizing effect, and thus, we can see these as levels of improvement efforts. However, many businesses are being led to believe if they don’t transform now they risk becoming ...
What does it look like when you have access to cloud infrastructure and platform under the same roof? Let’s talk about the different layers of Technology as a Service: who cares, what runs where, and how does it all fit together. In his session at 18th Cloud Expo, Phil Jackson, Lead Technology Evangelist at SoftLayer, an IBM company, spoke about the picture being painted by IBM Cloud and how the tools being crafted can help fill the gaps in your IT infrastructure.
DevOps at Cloud Expo – being held November 1-3, 2016, at the Santa Clara Convention Center in Santa Clara, CA – announces that its Call for Papers is open. Born out of proven success in agile development, cloud computing, and process automation, DevOps is a macro trend you cannot afford to miss. From showcase success stories from early adopters and web-scale businesses, DevOps is expanding to organizations of all sizes, including the world's largest enterprises – and delivering real results. Am...
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously not possible for high-throughput insurance, banking, and case-based applications. In his session at 18th Cloud Expo, John Newton, CTO, Founder and Chairman of Alfresco, described how to scale cloud-based content management repositories to store, manage, and retrieve billions of documents and related information with fast and linear scalability. He addres...
Aspose.Total for .NET is the most complete package of all file format APIs for .NET as offered by Aspose. It empowers developers to create, edit, render, print and convert between a wide range of popular document formats within any .NET, C#, ASP.NET and VB.NET applications. Aspose compiles all .NET APIs on a daily basis to ensure that it contains the most up to date versions of each of Aspose .NET APIs. If a new .NET API or a new version of existing APIs is released during the subscription peri...
SYS-CON Events announced today that LeaseWeb USA, a cloud Infrastructure-as-a-Service (IaaS) provider, 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. LeaseWeb is one of the world's largest hosting brands. The company helps customers define, develop and deploy IT infrastructure tailored to their exact business needs, by combining various kinds cloud solutions.
As companies gain momentum, the need to maintain high quality products can outstrip their development team’s bandwidth for QA. Building out a large QA team (whether in-house or outsourced) can slow down development and significantly increases costs. This eBook takes QA profiles from 5 companies who successfully scaled up production without building a large QA team and includes: What to consider when choosing CI/CD tools How culture and communication can make or break implementation