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Cloud Systems, Applications and Implications (use Tags in the Filter menu to navigate)
Curated by
Peter Azzopardi
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Updated
May 24
Created
Nov 26, 2011
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Scooped by Peter Azzopardi onto Cloud Central |
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When it comes to open source cloud platforms, OpenStack has the largest and most active community but don't count out OpenNebula, Eucalyptus and CloudStack. Delete the scoop?
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Eucalyptus has released the latest software update, but some experts say the open source cloud project still has an uphill climb compared to OpenStack and CloudStack. Delete the scoop?
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If you look at cloud computing, you might think, based on the hype, that enterprise-cloud management systems like OpenStack, OpenNebula or Eucalyptus have things wrapped up. Delete the scoop?
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Looking at the infographic, it clearly reminds me about the start of "Enterprise Data Warehouse": failures by "Innacurate scope", "Technical Roadblocks" & "Siloed data and no collaboration". It looks so familiar.
Very interesting infographic. Why do they fail? For all of the reasons above and then some... Over 80% of the data being collected today is unstructured and not readily stored in relational database technology burdened by complex extract, transform and load. There's also pre-existing data, sometimes referred to as "dark data" that includes documents which need to be included and made discoverable for a host of reasons - compliance and regulatory issues are one. Log activity and e-mail traffic used to detect cyber threats and mitigate risk through analysis of file transfers is yet another set of data that requires immediate attention.
Social and mobile are clearly channels that need to be addressed as organizations continue to mine data from the open web in support of CRM, product alerts, real time advertising options and more.
To accomplish all of this, organizations need a platform with enterprise hardened technology that can ingest all of these forms of data in real time, without having to write complex schemas. Getting back to the point - What do most projects fail? If companies attempt to do this with technology that is not reliable, not durable and does not leverage the skills of their existing development organization, the project will fail.
We have seen this time and time again. MarkLogic to the rescue. With over 350 customers and 500 big data applications, our Enterprise NoSQL approach mitigates the risk. Why? Our technology stack includes connectors to Hadoop, integration with leading analytics tools using SQL, Java and Rest APIs, JSON support, real time data ingestion, the ability to handle any form of data, alerting, in database analytics functions, high availability, replication, security and a lot more.
When you match this technology with a world-class services organization with proven implementation skills, we can guarantee your next Big Data project will work. We have done it hundreds of times with the largest companies in the world and very, very big data.
www.marklogic.com
This is a great infographic - it shows that whilst everyone is doing it (it being "Big Data" - whatever that is...), talent is rare, technology is hard to find and the projects never end. A far cry from the speed with which companies such as the BBC deployed MarkLogic to serve all data for the sport websites through the Olympics. Now that was big data, delivered by a talented team in a short space of time.