Posts In Category

Data Science

While the field of data science is not tied directly to Big Data, advances in one tends to produce advances in the other. Big Data increases our ability to harvest and process data, while data science allows us to dig into it for insights.

BI & AnalyticsData Science

Pic :  A view of the CERN computing server where all the data is backed up The Large Hadron Collider (LHC) is a multi billion-dollar particle accelerator that was built to answer some of the most fundamental questions about nature such as the origin of the universe. But what does this

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BI & AnalyticsInterviewsRetail & Consumer

Loyalty Cards status quo In the world of business transactions, consumers and merchants alike are continuously and relentlessly inundated, the costumer with cards, rewards, points, friends programs, and the like (see Tesco) to incentivize, the vendor with programs, numbers, tools, spreadsheets, and more with the intention of informing. Every card,

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BI & AnalyticsIndustrial Goods & ServicesInterviewsMachine LearningTechnology & IT

We met up with Olav Strand, Regional Director of splunk at the Volkswagen stand in CeBIT. Olav gave us a brief insight into splunk and its EMEA operations. He also explained the interesting collaboration that splunk  had with Volkswagen Data Lab at CeBIT in Hannover. splunk  is an American multinational corporation headquartered

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weigh, sql vs nosql
Data Science 101Technology & IT

SQL vs NoSQL Since both languages have equal number of proponents when deciding which language to use, Network World invited two influencers to share their views on SQL vs NoSQL. Ryan Betts, CTO of VoltDB, is a stark proponent of SQL and will therefore take the structured side. Bob Wiederhold,

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BI & AnalyticsTechnology & IT

“Big Data” has been a major technology trend over the past years, and buzz around the term continuing strong today. By now, it is widely accepted that the “Big” in Big Data does not refer only to the terabytes and petabytes of data to be processed, but more broadly to

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Corporations Failing at Big Data
BI & AnalyticsTechnology & IT

A recent study by KPMG revealed that executives do see the value in data and analytics, but 85% face challenges in implementing the right solution to analyze and interpret their existing data. This is the first article in a series of articles aimed at highlighting best practices to overcome the

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Data Science

Jake Flomenberg, Venture Capitalist at Accel Partners has over a decade of experience building innovative software products. Jake focuses on early stage investments in next generation infrastructure and data-driven services . He is part of the team responsible for Accel’s Big Data Fund. Prior to Accel, Jake  has worked at Cloudera and Splunk where he was

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BI & AnalyticsCase StudiesMachine LearningRetail & Consumer

Supermarket Giant Tesco pioneers Big Data: Turning Customer Loyalty into Royalties                                                                               

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Data ScienceMachine LearningTechnology & IT

Big data is overwhelmingly powerful, overwhelmingly omnipresent, and most of all, overwhelming to grasp. As such, three factors, three big data waves are currently rolling into our ports. Big data is to be generated, gathered, and aggregated, accumulated, produced, analyzed, and understood at ever increasing speeds.  With the ‘internet of

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