Back in the middle of last year, a clever little service called doo went into beta on OS X and Windows 8, which was itself only a consumer preview at that point. The service allowed users to import all the documents they had in various cloud storage pockets ––DropBox, Google Drive and email accounts — and bring them together in one place, where they could be automatically scanned, tagged and categorized.
Now doo is coming out of beta on OS X(s aapl) today and, over the next few weeks, on Android(s goog), then iPhone, then iPad (a refreshed Windows(s msft) 8 app will follow in the next couple of months). And, while the end result is similar to that in the beta, it’s quite a different beast under the hood.
Why? As CEO Frank Thelen told me, the future may be all about semantic tagging, but for now people still…
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Cloud based Business Intelligence (BI) is widespread today and is being used by many organizations globally. It is a revolutionary concept of delivering business intelligence capabilities “as service” using cloud based architecture that comes at a lower cost yet faster deployment & flexibility. Software as a Service (SaaS) BI is also being used by many small and medium sized enterprises who seek to speed up their businesses with BI and analytics tools.
According to a recent 2012 Wisdom of Crowds Cloud Business Intelligence Market Study of 859 respondents, there is a current strong investment in cloud based BI and growing interest in tapping into the cloud’s benefits; while a Gartner survey throws the fact that almost one-third of the BI platform users surveyed (27 percent, to be exact) are using or planning to use the cloud / SaaS model to expand their business intelligence capabilities in the next 12 months…
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Data dünyasında gelecek konseptler
Database startup Citus Data on Tuesday joined those trying to enable fast SQL queries on Hadoop data, but it has much larger goals. It thinks it can be the only analytic database that anyone needs, able to query data wherever it’s stored across a company’s environment — in relational databases, Hadoop, MongoDB, Amazon (s amzn) S3 and elsewhere.
Big data has opened companies’ eyes to the importance of analytics and alternative data stores, but combining the two often means learning new languages, using multiple tools and probably sacrificing the performance they’re used to from analytic platforms.
Citus Data’s flagship product, called CitusDB, is actually built atop PostgreSQL and its first iteration was designed for Google Dremel-like scale and speed on relational data. Thanks to a feature called “foreign data wrappers,” though, it’s able to run SQL on numerous data types (e.g., CSV, log and JSON files) that don’t comport with…
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