To effectively provide any kind of application on top of Big Data, the underpinnings of information management, analysis and targeted collection are a must. There are also three prerequisites as well: it has to be fast, precise and adapt automatically to change. Without these capabilities, the output is useless, based on, at best, latent information and, at worst, outdated or useless information.
Is EDRM a precursor to BDRM (Big Data Reference Model)
April 26, 2012
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eDiscovery Markets, eDiscovery Technologies | Tagged: Big Data, Hadoop, Information Governance | 
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Posted by Ram Prasad
Use of Machine Learning in e-discovery ordered by Judge in Virginia
April 25, 2012A Virginia trial court has ordered the use of machine learning for e-discovery over the objection of the requesting party.
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Posted by Ram Prasad
eHoarding contributes to Big Data Growth
April 15, 2012
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Posted by Ram Prasad
What is Big Data?
April 15, 2012Big Data seems to refer to volume of data. However, many existing technologies handle large volumes (TB or PB) of data.
Big Data is actually handling the challenge of the combination of volume and usage of data in today’s expectation of timeliness
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Posted by Ram Prasad
Tip of the Big Data Iceberg – Better Information Governance?
April 15, 2012Should we spend time/resources on Information Governance?
Until your organization can understand large data pools well enough to extract and collect relevant subsets for both reactive and proactive eDiscovery, Information Governance is the single biggest cost reduction exercise any enterprise can focus on.
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Posted by Ram Prasad
Why we need automated techniques to find relevant documents
April 4, 2012We must honor the founding principle of law – to uncover the truth.
Now that the volume of material in which the truth can be found is too large for purely manual methods, we have no choice but to find better ways
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Posted by Ram Prasad
