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.

Data Natives At Europe’s Number One It Event - Ip Expo
Data ScienceNews

With six top IT events under one roof, 300+ exhibitors and 300+ free seminar sessions, IP EXPO Europe is a must-attend IT event for CIOs, heads of IT, security specialists, heads of insight and tech experts. The event will take place on 7-8 October 2015, at ExCel, London. The event

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Dark Data: What Is It And Why Does It Matter?
Data ScienceTechnology & IT

One of the latest buzz terms to emerge, quite literally, from the shadow of Big Data is Dark Data. Despite its ominous-sounding name (one can imagine a tween goth band adopting that moniker), it is perhaps more accurate, if less foreboding, to see Dark Data as more like Big Data’s

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Alex Lo Of Flatiron Health On Data Corralling
ConversationsData Science

What’s the most misunderstood thing about “Big Data”? In my experience, corralling data is harder than people perceive and analyzing is easier than most people perceive. Not that either is easy at all, just relative to each other. With corralling, if there’s any interruption at the front end, it quickly

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6 Days Left For Your Data Natives 2015 Early Bird Ticket!
Data ScienceFinTechInternet of ThingsNews

Data Natives focuses on three key areas of innovation: Big Data, IoTand FinTech. The intersection of these fields is home to some of the most significant innovation happening today. Come and learn more from leading scientists, founders, analysts, investors and economists. Whether you’re from a technical background or not, you will come

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Kreditech Raises Eur 82.5M In Series C Led By J.c. Flowers
Data ScienceFinTechNews

Consumer finance technology company, Kreditech, has raised EUR 82.5 million in Series C financing to fuel the company’s growth. The round was led by J.C. Flowers & Co. LLC, a leading private investment firm dedicated to investing in the financial services industry globally. Peter Thiel and Amadeus Capital Partners (Amadeus)

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&Quot;Building The Amazon For Consumer Finance&Quot; - Alexander Graubner-Müller, Cto Of Kreditech
Data ScienceFinanceFinTech

As the founder and CTO of Kreditech, Alexander strongly believes that algorithms and statistical data are the building blocks for the next Industrial Revolution. Kreditech, one of Germany’s most data-driven FinTech companies, is a testament to that belief. Before founding Kreditech alongside Sebastian Diemer, Alexander managed engineering and product development

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No Compromise On Self-Service Business Intelligence With Enterprise Capabilities
Data ScienceTechnology & IT

Most analytics products today are designed either for the individual or for the enterprise—and each requires a major compromise. On one hand, if you choose an individualized product so businesspeople can create their own reports, the tool probably can’t scale to provide widespread sharing, consistency, or collaboration on those reports,

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Big Data And Energy Conservation: Follow The Money
Data ScienceEnergy & EnvironmentInternet of Things

Energy is a huge conversation and big data is already being used to make incredible changes. It’s leveraged to create better oil and gas practices, keep better tabs on expenditures, and even ramp up the renewable energy movement. With not just one, but countless companies integrating big data practices, the

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Panoply.io Raises $1.3M To Democratize Data Management
Data ScienceNews

  Today, in an unusual seed round for an Israel based company, Panoply.io just announced a $1.3m seed round led by a quality list of US investors. Significant participants in the round include Blumberg Capital, 500 Startups, and FundersGuild. The Panoply.io data warehousing platform released its closed beta in Q3

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10 Essential Database Ingredients
Data ScienceTechnology & IT

Whenever you ask a successful company why they wrote their own large distributed system, or put a lot of work into gluing multiple systems together, the reason almost always boils down to something like, “Well, XYZ did nearly everything we needed, except…”. There are a couple of stellar write-ups from

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