Google Labs now offers its cloud based machine learning API and Big Query, powered by a full fledged BI enabled engine with a hand some of Google's industry tested and renowned prediction algorithms.
This empowers developers and organizations alike to take jump start towards greatly improving their applications and services by making use of Google's deep data analytic capabilities.
It specially attracts those Organizations lacking the high tech infrastructure of maintaining a data warehouse followed by high licensing costs of purchasing data mining engines and business intelligence applications offered by major vendors like Oracle, Teradata, Microsoft.
In order for this to work; you have to upload your data to Google, process the data using Big Query and then applying the set of prediction APIs.
However, when it comes to prediction, machine learning, and data mining; we are talking about data in Giga/Tera Bytes.
Given the type of business, size, and sensitivity of data; uploading data over the internet to Google infrastructure for the first time followed by daily incremental uploads raises feasibility and security concerns. But as the cloud Buzz continue to grow massively, so does the adaptability.
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1 comment:
Very Exciting!
Data privacy however is going to be a substantial concern as well as transfer of large data over the internet.
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