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Bigstep
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Bigstep - The big data cloud - Easily create, launch and scale powerful, secure and cost-effective big data solutions. Call us: +44(0)207510
Bigstep - The big data cloud - Easily create, launch and scale powerful, secure and cost-effective big data solutions. Call us: +44(0)207510

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“Sometimes you have to see it to believe it. In the world of big data, sometimes you have to see it to understand it. True data insight comes from turning overwhelming lines of raw material into comprehensive business analytics. Collating data and extrapolating it into a meaningful format can bridge gaps in understanding across your organization.”
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The promise of big data is that it can be leveraged for big solutions across any industry. But Internet-connected devices capture so much data that we are virtually drowning — unable to cull the actionable insights we’re seeking. Can machine learning algorithms help us tame our data ocean?
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The Data Pipeline – Analytics at the Speed of Business - Dataconomy
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When #Data goes dark
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From the financial to the pharmaceutical, industries are leveraging big data to make a bigger impact. But what about the organizations that are less concerned about profit and more focused on changing the world?
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Will 2017 be the year that we make use of the historical trends found in the non-digitized data in your enterprise?
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The data lake is a relatively new concept and there is a significant amount of misinformation regarding what it is and how it works.
Here are the most common misconceptions about the data lake, according to Alex Bordei, Bigstep's Head of Product Management:
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Going through the book shelves of high-achieving leaders is undoubtedly inspiring. Find out what books Lucas Roh, Bigstep's CEO, and other executives and founders treasure most, and why.
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The poll numbers are in, and despite the widely publicized rumors of Hadoop’s demise, tech experts are saying these were actually “alternative facts.” Technology experts are predicting the following Hadoop trends this year:
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Sometimes you have to see it to believe it. In the world of big data, sometimes you have to see it to understand it.
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