The reason for this blog post was a lecture I had at university where lecturer talked about ERP systems (enterprise resource planning) and a question came up from one of the other students about ERP in the cloud and how Cloud Computing is defined. I am not really happy with the answer he gave, because the answer was totally focused on Software as a Service hosted from a service provider and accessible over the internet. As someone who has worked in the hosting business and now is working as a consultant for mostly building private or hosted private clouds the definition looks really different. I my opinion Cloud Computing is not a technology, Cloud Computing is a concept you can use to provide access to resources.
Infrastructure-as-a-Service – IaaS basically allows customers to use compute, storage and networking resources and deploy for example virtual machines with full access to the operating system. Software-as-a-Service – SaaS allows customer to use just a software without caring about the installation or platform itself. Public Cloud – The Public Cloud is maybe the Cloud people think of mostly when they are talking about Cloud Computing.
Private Cloud – The Private Cloud is a Cloud made for a just one customer or company for example this could be an on premise Cloud hosted in my own datacenter.
Hybrid Cloud – The Hybrid Cloud model will be the model a lot of companies will go for, or already did even without knowing about it. Pooled Compute Resources – From a cloud provider perspective I want to pool my compute, storage and network resources and share them for different customers or services. Provides Self-Service Provisioning – To request new resources (virtual machines, Mailboxes or whatever) over a self-service portal which automatically kicks of the specific tasks. Usage-Based Chargeback – Trough the pooled resource you want to be able to do chargeback based on consumed resources. I think this 5 things do cover the properties of Cloud Computing in basically all the common scenarios.
Choosing a hybrid cloud provider is arguably more difficult than evaluating private or public cloud offerings.
Deciding on a hybrid cloud provider has additional challenges over a public or private cloud offering. Last time we looked at the major purchasing considerations for enterprises choosing a hybrid cloud solution; today we compare the top six options when it comes to hybrid cloud offerings from Microsoft, VMware, Amazon Web Services, Rackspace as well as EMC and HP. The foundation of Microsoft's cloud offering is Windows Server 2012 R2 with System Center 2012 R2. Using consistent product families allows for administrators to come up to speed quickly, since the toolsets are the same. Security is leveraged off of existing Active Directory infrastructure and provides a transparent security management environment. Project Lightwave (for access management) and Project Photon (for Microsoft Linux containers) will allow for more compatibility with existing container technologies and will find a home in the hybrid cloud solution. VMware has the experience and technology to power many of the world's biggest virtualized deployments.
VMware vCloud Air is vendor agnostic when it comes to running Microsoft, Linux or other operating systems. VMware's hybrid cloud supports a wide range of resources, however it resides closer to the infrastructure layer where some of the other providers can dive a bit deeper into the application layer. Amazon Web Services does not have a hybrid cloud service, as compared to the other providers on this list. AWS remains focused on the public cloud and currently does not offer its cloud management software offsite. While Amazon is not a hybrid cloud by traditional definition, the company has been making some steps in that direction with the AWS GovCloud program that uses AWS for onsite private cloud with the U.S.
Rackspace approaches the hybrid cloud with the flexibility of a Swiss Army Knife for infrastructure. While offering both single and multi-tendency, Rackspace has a strong single-tenant model with the OnMetal Cloud Server offering to ensure consistent and predictable application performance. EMC has built its hybrid cloud through a combination of methods including partnerships, acquisitions and internal development.
HP has a full hybrid cloud portfolio, part of which is based on the company's open source Helion Eucalyptus platform designed to be compatible with AWS. The core, however, is based on OpenStack technology. Don't miss each week's most important technology trends, insights and decision-making advice, right in your inbox. Wikibon is a professional community solving technology and business problems through an open source sharing of free advisory knowledge. The hype surrounding Big Data, which showed no signs of abating in 2012, now has big dollars backing it up.
The total Big Data market reached $11.59 billion in 2012, ahead of Wikibon’s 2011 forecast. Increased investment in Big Data infrastructure by massive Web properties – most notable Google, Facebook, and Amazon – and government agencies for intelligence and counter-terrorism purposes.
In the enterprise space in particular, the combination of a better understanding of the use cases for Big Data and more mature product and service offerings resulted in a significant percentage of Big Data early adopters graduating from small, proof-of-concept projects to large-scale, production-level deployments.
The Big Data market is still within the confines of the early adopter phase and is poised for significant growth. The well-publicized lack of analytic specialists and Data Scientists armed with both the technical skill and business acumen to derive insights from large, multi-structured data sets merged from disparate sources. A lack of understanding among enterprises on how to organize Big Data staff to best identify business requirements for Big Data projects and effectively communicate insights gleaned from Big Data to the business. Organizational resistance to adopting Big Data analytics-driven decision-making to replace “gut instinct”-style decision-making.
Vendor marketing overly focused on “speeds-and-feeds,” product features and “Big Data-washing” rather than laying out a vision for Big Data in the enterprise, articulating a path to achieve this vision, and maximizing the potential for Big Data to disrupt well-established vertical markets.
Development of Big Data platforms and tools by vendors that eschew open frameworks in favor of closed, locked-down solutions. A lack of best practices and related technologies for managing Big Data as a corporate asset, including data quality, data governance, and security platforms and tools.
A dearth of Big Data application development tools and services that allow existing developers to build and customize Big Data applications using common and popular application development languages and processes. Regarding methodology, the Big Data market size, forecast, and related market-share data was determined based on extensive research of public revenue figures, media reports, interviews with vendors, venture capitalists and resellers regarding customer pipelines, product roadmaps, and feedback from the Wikibon community of IT practitioners.
Many vendors were not able or willing to provide exact figures regarding their Big Data revenue, and because many of the vendors are privately held, Wikibon had to triangulate many types of information to determine our final figures.
Information types used to estimate revenue of private Big Data vendors included supply-side data collection, number of employees, number of customers, size of average customer engagement, amount of venture capital raised, and age of vendor. It is critically important to understand how Wikibon defines Big Data as it relates to the market size overall and to revenue estimates for specific vendors in particular.
First, from a technology perspective, Wikibon defines Big Data as those data sets whose size, type, and speed-of-creation make them impractical to process and analyze with traditional database technologies and related tools in a cost- or time-effective way. Second, Wikibon believes Big Data requires practitioners to embrace an exploratory and experimental mindset regarding data and analytics, one that replaces gut instinct with data-driven decision-making, and exchanges stubbornness for a willingness to question long-held assumptions. Market-leader IBM offers by far the largest product and services portfolio by both breadth and depth.
Amazon continued and Google kicked off increasingly aggressive moves into the Big Data market. While M&A activity was relatively tepid, two important acquisitions took place in 2012 that have the potential to impact the long-term Big Data market. Microsoft officially entered the Hadoop market in 2012 with the release of an on-premise Hadoop product - HDInsight Server for Windows – and a cloud-based Hadoop service - Windows Azure HDInsight Service.
A movement to bring SQL and NoSQL together in a unified platform was firmly established in 2012. Facebook, Google, and Amazon as well several three-letter government agencies continued to invest heavily in commodity hardware to build out massive internal Big Data infrastructures. As mentioned in the introduction of this report, Hadoop-related software and services matured rapidly in 2012, leading to increased adoption of enterprise-level products by companies in industries beyond the Web. As a result, leading Hadoop distribution vendors Cloudera and MapR enjoyed significant revenue growth last year.
Likewise, in the related NoSQL space a handful of vendors that offer commercial versions of popular open source databases enjoyed significant revenue growth as pilot projects blossomed into production deployments supporting real-time, Web-scale applications and services. Below is a cut out of Big Data revenue associated with those vendors specializing in Hadoop and NoSQL software and services. Wikibon further expects the balance of revenue generation and value to shift from Big Data infrastructure and middleware to value-add services and software over the next five years. Wikibon believes Big Data infrastructure, middleware, and technical services will become increasingly commoditized as they mature and common standards are adopted. Wikibon will be looking in more detail at the components that make up the Big Data market, shown in Figure 4. Action Item: While Big Data vendor revenue is forecast to grow significantly over the next five years, Wikibon believes that Big Data practitioners will create much more value than technology and service providers in the long-term.
The chart in the section "Big Data Revenue by Market Segment" should label the units as Millions instead of Billions.
Based on what I know about the data science services industry, your estimates of % of big data revenue for Opera Solutions, Fractal Analytics and Mu Sigma are off significantly.
I came across this study thanks to a 5 pages article in Le Monde that cited Wikibon as one of their source for market analysis. I notice in the revenue table that the aggregated vendor total revenue (1,223,425) is off from what it is shown on the page (1,244,602). Jeff, came across this again this week as it was posted on LinkedIn and it got me thinking. With Network Attached Storage (NAS) devices, files can be stored on a server, and accessed by multiple users at the same time. They serve as excellent repositories for large amounts of data, network hubs, and data sharing stations.


They’re popular among professionals working with large media files, small offices, shops, and enthusiasts. Central storage of data means there probably isn’t a backup copy, which could lead to a lot of problems. With NAS, computer and mobile devices can also be backed up to central storage, which is why backing up is doubly important. While many people use NAS as their local backup solution, it’s also important to have an off-site backup, to ensure your data is always safe and protected from the follies of fallible electronics.
Also, since NAS devices usually store a large amount of data, you’ll need a cloud backup service which is affordable. Before leaping into the top five, let’s first be clear about how this article is setup and what it is. Instead, what we’ve got here is a summary of the backup provider, a snippet about why we liked it, and a list of pros and cons. With that disclaimer out of the way, let’s go ahead and check out the top five best cloud backup solutions for NAS devices.
Carbonite supports NAS backups only through Windows, and only billing owners or administrators can select NAS files the same way as computer files. Carbonite also recommends that you configure  sleep and hibernation settings on the NAS device. So that it’s always connected to the internet, making it easier for Carbonite to backup data.
While testing, I also found out that Carbonite doesn’t back up NAS files immediately, like it does standard system files. Carbonite does provide unlimited storage plans, but the Pro plans (which have NAS backups), only have limited storage. Unlike Carbonite, this cloud backup service supports NAS devices Windows, Mac, Linux and even Solaris! CrashPlan provides unlimited storage along with an array of options, one of which is NAS backup. The service does not directly support mapped drive backups on Windows, but, there is an indirect way of accomplishing this task.
This cloud storage service gives you a bunch of features to manage your backups and of course, NAS backup is one of them. You do get unlimited storage space with LiveDrive, but to backup NAS devices, you have to pay $8 extra every month, which really isn’t much since you get unlimited storage.
While NAS backup option is provided in all business plans, it is not provided in the Briefcase plan, which is the file syncing plan. LiveDrive has backup scheduling, incremental backup and can retain over 30 versions of a file. ElephantDrive was specially developed for NAS drives, so you can rest assured, that this cloud backup service will fit the bill. ElephantDrive provides the first 2GB of storage space for free, so the service is easy to try out. The plans are obviously a little expensive, especially when you’re not getting unlimited storage. ElephantDrive is meant primarily for NAS devices; you could use it for regular system backups, but I find it a bit too expensive for that purpose. IDrive gives cloud backup and file syncing in one service, so you never have to worry about juggling data between different cloud storage services. But better yet, it allows unlimited machines to connect to a single account at no extra charge. This feature could be very useful for NAS devices, which are usually connected to multiple systems.
Network Attached Storage (NAS) devices usually store a large amount of data, and even a small system failure could lead to significant problems. Which means both time and money are going down the drain, that is why cloud backup is essential.
My advice is to read a full review first, try out a plan’s free trial period or account, before making any final decisions. Best Online Backup Services Updated 2016If you're looking to backup your files in the cloud, this is the list you need to choose the best service.Best Cloud Backup for MacYou need to backup your Mac?
It 2016 and NAS devices are still as popular as ever, which is why backing them up is super important as well.
One file sharing titan against a colossus of backup, who will come out on top in our CrashPlan vs Dropbox showdown?
If you're looking for an online backup solution, but you're not sure if it's the right thing for your files, this article might be helpful because it answers the most pressing questions about who needs online backup and in which situations it is best used. ADrive's 50GB free accounts are going to be cut from the program on November 16th, essentially forcing customers who use that plan to either pay up and upgrade to premium, or simply transfer their data to another provider.
Yunio is here to answer the calls of all those who need massive storage for free, with 1 TB of free data on offer, the Chinese company is posing a serious threat to more miserly Western cloud companies.
We are a professional review site that receives compensation from the companies whose products we review. The following tables provide insights into each category of public cloud computing spending throughout the forecast period.
While IaaS is the highest growth segment in the market it will not be the easiest market in which to compete or build any form of defensible position. Is there any differentiation between compute from IaaS and compute being performed in the cloud for HPC applications?
This blog is dedicated to providing readers with in-depth analysis of the factors behind disruptive innovation in enterprise software, Web-based applications, and delivery platforms including SaaS. Cloud Tech promotes industry thought leadership content from industry brands, businesses and analysts, partnering with writers and bloggers to deliver insight and advice on cloud IT strategy to our extensive audience of CIOs and IT managers. Well this is a part of cloud computing but doesn’t not really cover the real definition.
This is mostly shared services hosted from a services provider which is accessible from the internet. The Hybrid Cloud is a scenario where I have a Private Cloud hosted on premise in my datacenter but I also extend my Cloud to the Public Cloud by connecting cloud services such as Windows Azure or Office 365 to my Private Cloud.
Cloud Computing is a jargon term without a commonly accepted non-ambiguous scientific or technical definition. It’s important to be very flexible to get new resources if your business grows over time or has some special peaks where you need more resources.
If you think about a simple example: A new employee starts at your company and you want to create a new mailbox for him, you can create a it over a self-services portal. Even if you do another billing system you still want to know how much resources customers have used. This there are a lot of things I did not cover in my blog post but it should help people which are new to cloud computing help to understand the different scenarios. When you are looking at a private or public cloud you compare features and functionality based on one environment. The comparison table that follows includes the pros and cons of each hybrid cloud solution. By leveraging a common product suite, Microsoft maintains a level of consistency as workloads move from internal to hybrid cloud environments. However, this is only true if System Center is already deployed internally and staff is trained, which can be a challenge since it incorporates multiple products including Virtual Machine Manager, Data Protection Manager, Endpoint protection and Operations Manager. However, this can open up additional security risks based on existing Windows Server vulnerabilities. Lightwave and Photon are designed to catch-up with existing container technologies where Microsoft Nano Server is a more radical but welcome innovation.
VMware was able to use its established record of performance and reliability to become a good choice for many cloud providers. However, VMware suites are often a collection of products loosely bundled together that can contribute to confusing purchasing, installations and upgrades. This wide base of support treats all vendors the same and provides a consistent platform that is best suited to multiple operating system environments. Instead, the hybrid approach uses a Direct Connect Service that bridges the customer's data center with a virtual private cloud (VPC) resource.
Today AWS customers continue to ask for private cloud management and have had to make due with third party offerings while patiently waiting for Amazon to fully embrace the hybrid cloud. Rackspace provides the connection from on-premises resources to offsite through the use of its Rackconnect technology. Rackspace also has a strong focus on infrastructure with a dedicated high performance hardware option in a flexible and scalable model. This puts HP right in the competitive field with the other vendors using OpenStack as a foundation. Factory revenue generated by the sale of Big Data-related hardware, software and services took a major step forward in 2012, growing by 59% over 2011(a). This evolution naturally required increased investment in Big Data hardware, software, and services. For the Big Data market to reach its full potential, enterprises and vendors must overcome several obstacles. This will limit interoperability with competing and complimentary products and reduce customer choice. This list includes both Big Data pure-plays – those vendors that derive close to if not all their revenue from the sale of Big Data products and services – and vendors for whom Big Data sales is just one of multiple revenue streams. We also held extensive discussions with former employees of Big Data companies to further calibrate our models.


Projects whose processes are informed by this mindset meet Wikibon’s definition of Big Data, even in cases where some of the tools and technology involved may not.
The company also supports its Big Data practice with a well-crafted, high-level marketing campaign focused around its Smarter Planet initiative that often includes illustrations of real-world Big Data deployments.
It did so mostly thanks to revenue derived from Big Data-related services, followed by sales of hardware to support Big Data deployments. Each introduced new products and services to allow enterprises to leverage Big Data analytics and storage-as-a-service with the usual benefits associated with public Cloud services (elasticity, pay-by-the-drink, trading upfront CAPEX for monthly OPEX, etc.) Specifically, Amazon introduced RedShift, an analytic-database-as-a-service, to its portfolio and struck a deal with MapR to allow customers to run its Hadoop distribution on Amazon Web Service, among other announcements. WANdisco specializes in data replication across the WAN, which it applies to Hadoop (both its own distribution as well as Cloudera’s and Hortonworks’ distributions) with the aim of making the open source Big Data framework reliable enough to support mission critical applications. Hadapt and Teradata Aster, which kicked off this movement in 2011 continued to lead the charge but were joined by competitors Cloudera, Microsoft and others in 2012. Facebook alone spent close to $800 million on infrastructure in just three quarters in 2012. In many cases, companies that had previously deployed community (read: free) versions of vendor Big Data software bundles for proof-of-concept projects began upgrading to paid software and services to support production-level deployments.
The company’s NoSQL document store is in use at Bank Of America, the Defense Intelligence Agency and Warner Brothers, among other household names in the media and financial services industries. Note that these vendors account for total Big Data revenue of $272 million and are growing at a faster percentage rate than the rest of the Big Data market. Looking beyond 2013, Wikibon forecasts the total Big Data market to approach $50 billion by 2017, which translates to a 31% compound annual growth rate over the five-year period 2012-2017.
As noted, hardware revenue accounts for 37% of Big Data revenue and a large portion of software and services revenue is associated with infrastructure software and technical services that tie Big Data platforms and data together.
Practitioners will increasingly look to NoSQL and in-memory database software, streaming analytic platforms, vertically focused analytical and transactional applications and application development platforms (both on-premise and Cloud-based) and associated consulting and professional services to address specific, high-value business problems and opportunities.
When selecting vendors to support Big Data initiatives, therefore, CIOs and Big Data practitioners must evaluate the products and services on offer in the context of how best to monetize Big Data to achieve competitive advantage.
Upon further review and extensive feedback from the Wikibon community, it was decided that the original figure underestimated the level of revenue generated by original device manufacturers.
We are close to $8 Million with all revenue coming from open source and increasing part from big data. The report from Wikibon is based on primary research with specific data by vendor that adds up to the market total in a "transparent" way.
I do believe the India pureplays have much to gain and will be investing in differentiating themselves with Big Data Analytics & Cloud. It is yet another reason, and even more proof, that WikiBon is such a virtuous organization.
The company's clients were recently targets of two different attacks, both coming in the form of emails. Among the updated features, you also have Google Drive access, although no streaming is available, and easy to use touch-screen controls. One area worth investigating is the slower growth market segment of business processes as a service (BPaaS). Virtualization is not Cloud Computing, virtualization is a great enhancement for Cloud Computing and is also a important enabler of Cloud computing because without virtualization Cloud Computing could be really hard to do. In science Cloud computing is a synonym for distributed computing over a network and means the ability to run a program on many connected computers at the same time. Resources could be more compute power, more virtual machines, more users, or more mailboxes. The creation of the mailbox has to me automated in the background because you don’t want to wait for someone to create the mailbox manually maybe two days later.
This could be how many mailboxes did I use last month, how many minutes my virtual machines was running this month, or much disk space did I use. Work as a Cloud Architect for itnetX, a consulting and engineering company located in Switzerland. However, with a hybrid cloud you have to look at the solution provided in both your environment and what is external to your environment.
This strong Windows focus does not mean that your internal and external clouds cannot run Linux virtual machines or Docker containers, they are supported; but in a Microsoft environment the Windows operating system is of course ideal.
This will help to increase the transparency between internal and external resources with a large application catalog.
Nano server is a minimal installation of Windows Server designed for the cloud and developers. As one of the largest public cloud providers, AWS has the resources and experience to manage the hosted side of a hybrid cloud.
Rackconnect allows the consumer to seamlessly scale out the environment as needed by adding Cloud Servers or Cloud Files. While the best in breed approach can be a bit confusing, EMC recently acquired Virtustream,  a hybrid cloud management platform, which has the ability to unite several of the best of breed products under a single management interface.  Where this fits in with VMware vCloud Air is yet to be seen as both solutions could compete with each other. HP does have a few advantages over the competition however, including deep partner relationships that can be leveraged in the hybrid cloud, along with a public commitment to open source for the hybrid cloud. Feedback from the Wikibon community included multiple reports of $100 million+ deals from both government and commercial buyers.
While a detailed discussion of these obstacles is outside the purview of this report, they are worth noting. The biggest criticism of IBM from practitioners is that the company’s portfolio is so wide and deep it causes confusion.
HP by its sheer size is in a position to impact and participate in a number of Big Data deployments. Consolidated across vendors, professional and cloud services revenue accounted for $5 billion of total 2012 Big Data revenue. VMware had already begun efforts to apply virtualization technology to Hadoop, and the acquisition of CETAS gives the vendor a more comprehensive Big Data portfolio. Microsoft also announced PolyBase, which aims to allow the SQL Server Parallel Data Warehouse to execute SQL queries against data stored in Hadoop.
This spending is reflected in Big Data revenue for the original device manufacturer (ODM) category that appears at the bottom of the table. While the global economic outlook is for slow to stagnant growth over this period, Wikibon believes the Big Data market will not be severely impacted and may, in fact, benefit from enterprises needing “to do more with less,” which effective Big Data analytics facilitates.
This includes evaluating “speeds and feeds” and other product features but should also include evaluating how well vendors can assist enterprises in adopting a sustainable culture of data-driven decision-making. I don't see any reference to market share data in the Transparent Research report description so it's not clear where there baseline comes from. They have doubled their revenue & improved market share in last 6 years and are giving stiff competition to global MNCs. This is exactly the kind of info I need for context and I know many in large enterprises need this too. In which category of your market forecast would you place these data collection services - perhaps SaaS, app software, professional services, or a mix? The popularity of the term Cloud computing can be attributed to its use in marketing to sell hosted services in the sense of Application Service Provisioning that run Client server software on a remote location. I am focused on Microsoft Technologies, especially Microsoft Cloud & Datacenter solutions based Microsoft System Center, Microsoft Virtualization and Microsoft Azure. Having transparency between internal and external resources does not require the performance to be a mirrored as the hybrid cloud should be viewed as an extension of the internal resources.
This level of portability with Windows applications in containers that can be moved easily within the hybrid cloud is what the Windows developers have been looking for since containers were first introduced. With so many companies looking at open source tools and OpenStack in particular, this may position HP in a leadership role if it continues to embrace the open source mindset and toolsets. IBM combats this confusion by initiating many Big Data customer engagements through its professional services division.
Google finally got into the Big Data game by productizing Big Data tools and technologies, such as BigQuery, it has long used internally, and likewise introduced MapR as a service via Google Compute Engine. The creation of the Pivotal Initiative further indicates that VMware and EMC are continuing to invest in Big Data for the long-term.
Specifically, Facebook and others like it purchase, configure, and deploy off-the-shelf hardware from ODM’s such as Quanta, rather then purchasing commodity machines from vendors such as Dell or HP, to support the majority of their operations.
Probably because we are mainly a European vendor, but we start to have some customer in the US too. However security, SLAs and management should come as close to mirroring your internal environment as possible. This may be a concern for some who did not realize vCloud Air is not a dedicated VMware data center. Direct Connect is not a private cloud management package, only a connection from a VMware or Microsoft's internal cloud.
A challenge and area of focus for IBM moving forward is to continue to articulate its Big Data vision in a way that focuses on industry solutions and not point products. Services that make data sets available to enterprises and other service providers are a key enabler to the Data Economy. The recent Virtustream acquisition will help unite the products for ease of management.HPLooks thoughtful and extensive on paper.




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Comments

  1. 28.12.2013 at 18:14:30


    Infrastructure-as-a-Service (IaaS), is the most basic; it's exclusively in the cloud for seamless won't likely benefit.

    Author: RENOCKA
  2. 28.12.2013 at 13:36:47


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    Author: Holly
  3. 28.12.2013 at 17:53:54


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  5. 28.12.2013 at 11:46:59


    Including: Amazon S3, Amazon Glacier, Windows Azure makes changes that affect backblaze backups to be continuous (where.

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