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Customized, Intelligent, Vertical Applications – the Future of Big Data?
What if there was an easy and automated way to define new data sources, create new algorithms

Lets assume that your entire organization had access to the following building blocks:

  • Data: All sources of data from the enterprise (at rest and in motion)
  • Analytics: Queries, Algorithms, Machine Learning Models
  • Application Business Logic: Domain specific use-cases / business problems
  • Actionable Insights: Knowledge of how to apply analytics against data through the use of application business logic to produce a positive impact to the business
  • Infrastructure Configuration: High scalable, distributed, enterprise-class infrastructure capable of combining data, analytics, with app logic to produce actionable insights

Imagine if your entire organization was empowered to produce data-driven applications tailored specifically for your vertical use-cases?

Data-Driven Vertical Apps

You are a regional bank who is under heavier regulation, focused on risk management, and expanding your mobile offerings. You are seeking ways to get ahead of your competition through the use of Big Data by optimizing financial decisions and yields.

What if there was an easy and automated way to define new data sources, create new algorithms, apply these to gain better insight into your risk position, and ultimately operationalize all this by improving your ability to reject and accept loans?

You are a retailer who is being affected by the economic downturn, demographic shifts, and new competition from online sources. You are seeking ways of leveraging the fact that your customers are empowered by mobile and social by transforming the shopping experience through the use of Big Data.

What if there was an easy and automated way to capture all customer touch points, create new segmentation and customer experience analytics, apply these to create a customized cross-channel solution which integrates online shopping with social media, personalized promotions, and relevant content?

You are a fixed line operator, wireless network provider, or fixed broadband provider who is in the middle of convergence of both services and networks, and feeling price pressures of existing services. You are seeking ways to leverage cloud and Big Data to create smarter networks (autonomous and self-analyzing), smarter operations (improving working efficiency and capacity of day-to-day operations), and ways to leverage subscriber demographic data to create new data products and services to partners.

What if there was an easy and automated way to start by consuming additional data across the organization, deploy segmentation analytics to better target customers and increase ARPU?

It Starts With The "Infrastructure Recipe"

Ok. You are a member of the application development team. All you have to do is create a data driven application "deploy package". It's your recipe of what data sources, analytics, and application logic needed to insert into this magical cloud service which produces your industry and use-case specific application. You don't need to be an analytics expert; you don't need to be a DBA; an ETL expert; let alone a Big Data technologist. All you need is a clear understanding of your business problem and you can assemble the parts through a simple-to-use "recipe" which is abstracted from the details of the infrastructure used to execute on that recipe.

Any Data Source

Imagine an environment where your enterprise data is at your fingertips. No heavy ETL tools, no database exports, no Hadoop flume or sqoop jobs. Access to data is as simple as defining "nouns" in a sentence. Where your data lives is not a worry. You are equipped with the magic ability to simply define what the data source is and where it lives and accessing it is automated. You also care less whether the data is some large historic volume living in a relational database or whether it is real-time streaming event data.

Analytics Made Easy

Imagine a world where you can pick from literally thousands of algorithms and apply them to any of the above data sources in part or in combination. You create one algorithm and can apply it to years of historic data and/or a stream of live real-time data.  Also, imagine a world where configuring your data in a format that your algorithms can consume is made  seamless. Lastly, your algorithms execute on infrastructure in a parallel, distributed, highly scalable way. Getting excited yet?

Focus on Applications With Actionable Insights

Now lets embody this combination of analytics and data in a way that can actually be consumed and acted upon. Imagine a world where you can produce your insights and report on them with your BI tool of choice. That's kind of exciting.

But what's even more exciting is the ability to deploy your insights operationally through an application which leverages your domain expertise and understanding of the business logic associated with the targeted use-case you are solving against. Translation - you can code up a Java, Python, PHP, or Ruby application which is light, simple, and easy to build/maintain. Why? Because the underlying logic normally embedded in ETL tools, separate analytics software tools, MapReduce code, NoSQL queries, and stream processing logic is pushed up into the hands of application developer. Drooling yet? Wait, it gets better.

Big Data, Cloud, and The Enterprise

Lets take this entire programming paradigm and automate it within an elastic cloud service purpose built for the organization with the ability to submit your application "deploy packages" to be instantly processed without having to understand the compute infrastructure and, better yet, without having to understand the underlying data analytic services required to process your various data sources in real-time, near real-time, or in batch modes.

Ok...if we had such an environment, we'd all be producing a ton of next-generation applications.....data-driven, highly intelligent, and specific to our industry and use-cases.

I'm ready...are you?

Read the original blog entry...

About Jim Kaskade
Jim Kaskade is Vice President and General Manager, Big Data & Analytics, at CSC. Prior to that he was CEO of Infochimps. Before that he served as SVP and General Manager at SIOS Technology, a publicly traded firm in Japan, where he led a business unit focused on developing private cloud Platform as a Service targeted for Fortune 500 enterprises. He has been heavily involved in all aspects of cloud, meeting with prominent CIOs, CISOs, datacenter architects of Fortune 100 companies to better understand their cloud computing needs. He also has hands-on cloud domain knowledge from his experience as founder and CEO of a SaaS company, which secured the digital media assets of over 10,000 businesses including Fortune 100 customers such as Lucasfilm, the NBA, Sony BMG, News Corp, Viacom, and IAC. Kaskade is also one of the Top 100 bloggers on Cloud Computing selected by the Cloud Computing Journal.

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Cloud Expo - Cloud Looms Large on SYS-CON.TV


Cloud Expo 2013 East Opening Keynote by IBM
In this Cloud Expo Keynote, Danny Sabbah, CTO & General Manager, Next Generation Platform, will detail the critical architectural considerations and success factors organizations must internalize to successfully implement, optimize and innovate using next generation architectures.
Lisa Larson, Vice President of Enterprise Cloud Solutions of Rackspace Hosting Live From New York City
In the old world of IT, if you didn't have hardware capacity or the budget to buy more, your project was dead in the water. Budget constraints can leave some of the best, most creative and most ingenious innovations on the cutting room floor. It's a true dilemma for developers and innovators – why spend the time creating, when a project could be abandoned in a blink? That was the old world. In the new world of IT, developers rule. They have access to resources they can spin up instantly. A hybrid cloud ignites innovation and empowers developers to focus on what they need. A hybrid cloud blends the best of all worlds, public cloud, private cloud and dedicated servers to fit the needs of developers and offer the ideal environment for each app and workload without the constraints of a one-size-fits-all cloud.

Keynote: Driving Cloud Innovation: SSDs Change Cloud Storage Paradigm
Cloud is a transformational shift in computing that can have a powerful effect on enterprise IT when designed correctly and used to its full potential. Join Citrix in a discussion that centers on building, connecting and empowering users with cloud services and hear examples of how enterprises are solving real-world business challenges with an architecture and solution purpose-built for the cloud.

Go Beyond IaaS to Deliver "Anything As a Service"
Many organizations want to expand upon the IaaS foundation to deliver cloud services in all forms—software, mobility, infrastructure and IT. Understanding the strategy, planning process and tools for this transformation will help catalyze changes in the way the business operates and deliver real value. Join us to learn about the new ITaaS model and how to begin the transformation.


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New York City Expo Floor Plan Revealed
Cloud Expo New York
[June 11-14, 2012]

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Introducing Big Data Expo
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There is little doubt that Big Data solutions will have an increasing role in the Enterprise IT mainstream over time. Get a jump on that rapidly evolving trend at Big Data Expo, which we are introducing in June at
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Testimonials
Cloud Expo was a fantastic event for CSS Corp - we easily exceeded our objectives for engaging with clients and prospects."
AHMAR ABBAS
SVP, Global Infrastructure Management, CSS Corp.
 
With our launch at Cloud Expo, we successfully transformed the company from a relatively unknown European player into the dominant player in the market. Our competitors were taken by surprise and just blown away. We got a huge number of really high quality leads..."
PETE MALCOLM
CEO, Abiquo
 
We were extremely pleased with Cloud Expo this year - I’d say it exceeded expectations all around. This is the same info we got from partners who attended as well. Nice job!"
MARY BASS
Director of Marketing, UnivaUD
 
Cloud Expo helps focus the debate on the critical issues at hand in effect connecting main street with the next frontier."

GREG O’CONNOR
President & CEO, Appzero


Who Should Attend?
Senior Technologists including CIOs, CTOs, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, communications and networking specialists, directors of infrastructure Business Executives including CEOs, CMOs, CIOs, presidents, VPs, directors, business development; product and purchasing managers.


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To get involved, email Marilyn Moux at marilyn@sys-con.com.

@CloudExpo Blogs
Non-profit New York Genome Center manages and analyzes up to 12 terabytes of data each day with a swift, cost efficient, and accessible big-data analytics platform. To hear how genome analysis pioneers exploit vast data outputs to speedily correlate for time-sensitive research, please join me in welcoming our guest, Toby Bloom, Deputy Scientific Director for Informatics at the New York Genome Center in New York City. The discussion is moderated by me, Dana Gardner, Principal Analyst at Interarbor Solutions.
For Valentine's Day, here's a lighthearted look at the "relationship" between two complementary technologies: service virtualization and cloud dev/test labs. Hey, I know it's been a while since we started being "a thing." When we met, everyone said you were just mocking, and that I wasn't real enough to make a living, with my head in the clouds. Yet, here we are, a few years later.
With the proliferation of both SQL and NoSQL databases, organizations can now target specific fit-for-purpose database tools for their different application needs regarding scalability, ease of use, ACID support, etc. Platform as a Service offerings make this even easier now, enabling developers to roll out their own database infrastructure in minutes with minimal management overhead. However, this same amount of flexibility also comes with the challenges of picking the right tool, on the right provider and with the proper expectations. In his session at 18th Cloud Expo, Warner Chaves, Princ...
With some of the busiest shopping days of the year behind us, now is the time for retailers to pause for a moment to evaluate what worked, and to consider new online strategies and technologies for the 2016 shopping season. We don’t yet have numbers for 2015, but in 2014, holiday season retail e-commerce spending in the United States amounted to 53.3 billion U.S. dollars with the most money being spent online on Cyber Monday. Fujitsu is working with Grid Dynamics to deliver an Oracle Commerce Platform as a fully-managed cloud service. I had a chance to sit down with Victoria Livschitz, E...
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I sat down with Michael Rösch, COO of POOL4TOOL, to chat about cloud computing. With a lot of buzz about the impact of the cloud on business, it was a chance to get a perspective, as well as a few hints and tips, from someone who has been at the coalface of procurement cloud services for the past 15 years. Michael has been at POOL4TOOL since 2000, becoming COO in 2012, and has worked on projects with German giants like Behr, Hansgrohe, Heidelberger Printing Presses, Carl Zeiss and ThyssenKrupp Presta in that time.
The arrival of the Microsoft Azure Stack Technical Preview marks a turning point in the cloud-computing market and forms a leading indicator of how dramatically Microsoft has changed in the past two years. The cloud turning point comes because the path to hybrid-cloud capabilities and benefits has a powerful new usher, one with the enterprise, developer, and service-provider presence, R and D budget, and competitive imperative to succeed in a market still underserved and nebulous.
Microservices are a type of software architecture where large applications are made up of small, self-contained units working together through APIs that are not dependent on a specific language. Each service has a limited scope, concentrates on a specific task and is highly independent. This setup allows IT managers and developers to build systems in a modular way. In his book, “Building Microservices,” Sam Newman said microservices are small, focused components built to do a single thing very well.
In a recent market study offering by Transparency Market Research (TMR), the global cloud security market is projected to grow at a CAGR of 12.80% from 2015 to 2022. The report, titled "Cloud Security Market - Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2014 - 2022", states that the global cloud security market will reach a valuation of US$11.8 bn by 2022 increasing from its 2014 valuation of US$4.5 bn.According to the report, factors such as the rapid proliferation of handheld devices, the increasing trend of CYOD and BYOD policies in corporate organizations, increasing...
Many of my blogs promote the business benefits of the data lake, both from a “save me more money” as well as the “make me more money” perspectives. But I fear that I’m making this thing called the data lake sound like a “silver bullet[1]” – just drop the data into the data lake and everything magically works. But much like in the world of data warehousing, there is significant work that needs to be done under the covers – in areas such as metadata management, data governance and security – to ensure that the data lake will perform for a business in a production environment. Many of the process...
Adding public cloud resources to an existing application can be a daunting process. The tools that you currently use to manage the software and hardware outside the cloud aren’t always the best tools to efficiently grow into the cloud. All of the major configuration management tools have cloud orchestration plugins that can be leveraged, but there are also cloud-native tools that can dramatically improve the efficiency of managing your application lifecycle. In his session at 18th Cloud Expo, Alex Lovell-Troy, Director of Solutions Engineering at Pythian, will present a roadmap that can be l...
Here in the US, the Super Bowl is more than just a football game - it's a national holiday, with its own traditions, festivities, and food and drinks. One of the most important aspects of super bowl is the commercials. Every year, brands spend millions of dollars to get the attention of the more than 120 million Super Bowl viewers. The Wall Street Journal created this brilliant interactive chart of past ad spending. We are sure that the all industries outdid themselves in terms of spending again this year.
Performance is the elusive butterfly of API development. Everybody is intrigued with its beauty, yet few know how to capture it. In the old days, the approach of many shops to ensure a performant API was to create some code and then pass it over to the wall to QA to do load testing. Later some integration testing took place. As long as the API worked and it was met some marginal performance benchmarks, things were good. This worked well when a public, HTTP based API, consumed by a wide variety of distributed devices was more the exception than the rule. However, today APIs are a big deal a...
Over the past year, Microsoft has been introducing Azure Resource Manager (ARM) as the preferred way to provision and manage resources in its Azure cloud. ARM is the successor to the original Service Management model, also known as “Classic.”[1] While Classic will continue to be supported for the foreseeable future, ARM is the preferred deployment model and all new Azure features are being released on ARM only. Here is an overview ARM and the new features it provides.
My colleague, Jennelle Crothers, and I got a chance to chat about the usability and ease of use in this episode of Windows 10 series in TechNet Radio. She’s great and we had much fun doing it. Jennelle did a quick demo on how to make Windows 10 even easier to use.
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Past SYS-CON Events
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    Cloud Expo Europe
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    Cloud Expo West
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Cloud Expo 2011 Allstar Conference Faculty

S.F.S.
Dell

Singer
NRO

Pereyra
Oracle

Ryan
OpSource

Butte
PwC

Leone
Oracle

Riley
AWS

Varia
AWS

Lye
Oracle

O'Connor
AppZero

Crandell
RightScale

Nucci
Dell Boomi

Hillier
CiRBA

Morrison
Layer 7 Tech

Robbins
NYT

Schwarz
Oracle

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Navisite
 


 
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Citrix Systems
 


 
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Brick Group