At that moment, these organizations either have a complete vendor lock-up or they run into high data migration costs. As a result, they now understand the business value of open formats for long-term archiving
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But is it really a good idea to go into the cloud blindly, sacrificing control over your own data ?
With closer inspection, the real issues were things like proprietary "blob" formats, poorly documented APIs, hard to discern BPM systems, and legacy content formats
This is not as trivial as it looks, since almost all commercial archiving systems for electronic data – or vaults – are using proprietarily internal data structures and electronic data formats resulting in 100% vendor lockup when migrating data from one generation of a product to another
Bits and Pisces Lane Severson and I chatting about big data, analytics, data scientists (that kinds stuff) – if your data scientist type people don’t understand your business and context, they’re not worth it
” The book focuses mainly on how information—particularly political information—is delivered by the media, and Johnson know whereof he speaks; he was co-founder of Blue State Digital, the firm that built and managed President Obama’s online campaign for the presidency in 2008, as well as director of Sunlight Labs at the Sunlight Foundation, where he was in charge of building open source tools to give people greater access to government data
I have had extensive experience in all phases of information systems development, including strategic planning, architecture design and implementation, document analysis and architecture, business and situation analysis, and data architecture
While we’re talking about the cloud, among the new trends are of course Big Data. Big Data requires new frameworks to make it easy to install and maintain large number of cluster nodes, and easily distribute software workload on these systems
Larry Ellison himself noted that the unstructured content market is at least four times larger than the market for data in structured databases
As organizations clean up their data, they also increasingly realize that they need to classify it into appropriate buckets for records management purposes