What do Hadoop superheroes do now that Hallows' Eve has come and gone?

Great works of fiction are filled with dynamic duos. Sherlock Holmes and Mr. Watson. Rosencrantz and Guildenstern. And, of course, superheroes like Batman and Robin. On Thursday, Nov. 5 at 1 p.m. ET, two real-world Hadoop superheroes – Arun C. Murthy, co-founder of Hortonworks, and Paul Kent, vice president of big […]

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Big data, Hadoop, and the Internet of Things walk into a conference

The panel moderator looks out over the audience. It’s a large crowd. For the first time ever, Big Data, Hadoop, and the Internet of Things are appearing on stage together. The conversation has just begun, so let’s listen in for a minute. Big Data: “…and people have been trying to […]

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SAS high-performance capabilities with Hadoop YARN

For Hadoop to be successful as part of the modern data architecture, it needs to integrate with existing tools. This integration allows you to reuse existing resources (licenses and personnel) and is typically 60% of the evaluation criteria for integration of Hadoop into the data center. One of the most […]

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Share your cluster – How Apache Hadoop YARN helps SAS

Even though it sounds like something you hear on a Montessori school playground, this theme “Share your cluster” echoes across many modern Apache Hadoop deployments. Data architects are plotting to assemble all their big data in one system – something that is now achievable thanks to the economics of modern […]

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The Hadoop experiment: To model or not to model

I recently discovered this technical white paper on SAS’ customer support site called Data Modeling Considerations in Hadoop and Hive, written by one of SAS’ R&D teams. I was intrigued by the team’s findings, so in this post, I want to share its highlights – without getting into the technical […]

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We need Hadoop to keep our data costs down

You’ve read the research reports and seen the statistics. You’ve attended the conferences and heard the case studies. You’ve read the online articles and kept up with expert opinions. Your organization has even done a few big data sandbox projects – some successful, some not. Yet the jury is still […]

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Managing big data expectations

In this era of big data hype, it's easy to understand the hesitation of many organizations to take the plunge. Finding a signal in noisy petabytes of unstructured data isn't easy. Companies like Netflix, Amazon, Facebook, Twitter and Google that "do" big data well have spent hundreds of millions of dollars (or […]

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Hadoop and the future of ETL

I've lived in Las Vegas for two and a half years now. When I decided to move here, I was oblivious to the downtown revitalization taking place as well as the burgeoning tech ecosystem. It turns out that Vegas is an increasingly attractive place for start-ups. Thank 24-7 gambling, low […]

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The traditional data warehouse and Hadoop

Data warehouse (DWH) environments have typically been the standard when it comes to supporting analytical environments. There can be many systems supporting a particular modeling or analytical group, and because these groups have varying requirements for data, the replicated data is maintained because the transition to new storage and computing […]

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Big data management precision, pace and partnerships: Cloudera Impala, Hadoop and Teradata

The "Internet of Things" is the latest buzzword characterizing the machine-generated big data that has outstripped our ability to derive value from it. Think of UPS delivering 16 million packages every day through various hubs and all the logistics and decisioning that goes into that. But how does an organization […]

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