Hadoop and connected cars: Why automotive execs should care about data

Did you know: For 13 percent of car buyers a new vehicle without internet access is a no-go? Obviously, no-go means no-buy. Thirteen percent! If I have ever seen a market demand, it is this. For sure, the industry will respond to that. The management consulting company Bain even expects […]

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Swimming in a lake of confusion: Does the Hadoop data lake make sense?

All hail the data lake, destroyer of enterprise data warehouses and the solution to all our enterprise data access problems! Ok – well, maybe not. In part four of this series I want to talk about the confusion in the market I am seeing around the data lake phrase, including […]

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Tom Davenport on Hadoop, Big Data and the Internet of Things - Part I

I recently caught up with Dr. Tom Davenport, analytics thought-leader and author of Big Data @ Work, in Dublin, where we talked about big data, the Internet of Things and Hadoop. I'll be sharing the conversation here with you in two parts. You'll find part one below, and you can check […]

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Three ways to use a Hadoop data platform without throwing out your data warehouse

Working out where Hadoop might fit alongside, or where it might replace components, of existing IT architectures is a question on the minds of every organization that is being drawn towards the promises of Hadoop. That is the main focus of this blog along with discussions of some of the reasons they […]

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Is the SAS Embedded Process a secret sauce for Hadoop?

SAS has been developing "secret sauce" technology for more than 38 years.  Whether it has to do with being platform independent, processing in-database, running across a grid, or analyzing data in-memory like our SAS LASR Analytic Server or our High Performance Analytics offerings, secret sauce makes everything taste or, in […]

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Hadoop: the game-changer in banking

At most banks, data is stored in separate databases and data warehouses. Customer data is stored in marketing databases, fraud analyses are done on transactional data, and risk data is stored in risk data warehouses. Oftentimes even liquidity, credit, market, and operational risk data is stored separately as well. Bringing […]

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Hadoop market growth: Breaking out of the Silicon Valley bubble

In the first installment of this series on Hadoop, I shared a little of Hadoop's genesis, framing it within four phases of connectivity that we are moving through. I also stated my belief that Hadoop has already arrived in the mainstream, and we are currently moving from phases three of connecting people to phase four […]

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Predictive analytics and Hadoop: Challenges and solutions for managing the whole analytics lifecycle

So, you've heard the Hadoop hype and you are looking – or have already invested – into Hadoop. Maybe you have also realized some benefits from the Hadoop ecosystem. But now you want to maximize those benefits by using advanced analytics, or you might have heard about algorithms or machine learning libraries available […]

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How Hadoop emerged and why it gained mainstream traction

In the world of IT, very few new technologies emerge that are not built on what came before, combined with a new, emerging need or idea. The history of Hadoop is no exception. To understand how Hadoop came to be, we therefore need to understand what went before Hadoop that led to its creation. To understand […]

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Your data is in Hadoop, so what?

Okay, let's say your data is in Hadoop. The distributed, open source framework is configured as it should be across low-cost servers and your data is sitting in those clusters. It's been a meaningful effort to get to this point but how does it benefit your organization? If it's not doing something […]

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