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If you have never had to replace a Social Security card, you are not alone. Finding yourself in this position can be quite overwhelming but having the right information at your fingertips can be quite useful. Do I Have To Pay For A Replacement Card? No. When you lose your card, you can head to […]
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FinData day
Alistair Croll (Solve For Interesting), Juan Huerta (Goldman Sachs Consumer Lending Group), Robert Passarella (Protege Partners), Giannina Segnini (Journalism School, Columbia University), Mar Cabra (International Consortium of Investigative Journalists), Anand Sanwal (CB Insights), Michael Casey (MIT Media Lab), Diane Chang (Intuit), Jeff McMillan (Morgan Stanley), Tanvi Singh (Credit Suisse), Kelley Yohe (Swift Capital), Michelle Bonat (Data Simply), Susan Woodward (Sand Hill Econometrics), Robert Passarella (Protege Partners)
FinData day
Alistair Croll (Solve For Interesting), Juan Huerta (Goldman Sachs Consumer Lending Group), Robert Passarella (Protege Partners), Giannina Segnini (Journalism School, Columbia University), Mar Cabra (International Consortium of Investigative Journalists), Anand Sanwal (CB Insights), Michael Casey (MIT Media Lab), Diane Chang (Intuit), Jeff McMillan (Morgan Stanley), Tanvi Singh (Credit Suisse), Kelley Yohe (Swift Capital), Michelle Bonat (Data Simply), Susan Woodward (Sand Hill Econometrics), Robert Passarella (Protege Partners)
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Mention big-data tools like Spark and Kafka to most enterprise users, and the other big-data tool that comes to mind along with them is Hadoop. But does it need to?
Mesosphere, corporate backers of the Apache Mesos cluster-management project, are ginning up a big-data stack that eschews Hadoop, but embraces Spark (and Kafka, and Cassandra, and the Akka event framework) for real-time processing.
[ Download the InfoWorld quick guide: Learn to crunch big data with R. | Sign up for InfoWorld's Big Data Report to stay atop all the latest news and developments in the field. ]
Mesosphere Infinity, as the new product is called, is "a turnkey, full-stack offering optimized for big data and IoT," and its main aim is to provide an easily erected stack for businesses for real-time data work. But it also stands as a recent example of how many of the technologies reflexively associated with the Hadoop stack don't require Hadoop to be useful.
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