Tag Archives: Apache Kafka

Big Analytics Roundup (September 6, 2016)

Jim Kyung-Soo Liew and Tamas Budavari of Johns Hopkins ask whether Tweet sentiments still predict the stock market. Short Version: they do, but the market has arbitraged away any advantage from trading on the information. So there you have it: the stock market is efficient with respect to fundamental information, technical information, and Tweets. Enterra’s Stephen DeAngelis celebrates the “Algorithmic

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Big Analytics Roundup (May 31, 2016)

Google’s TPU announcement on May 18 continues to reverberate in the tech press. In Forbes, HPC expert Karl Freund dissects Google’s announcement, suggesting that Google is indulging in a bit of hocus-pocus to promote its managed services.  Freund believes that TPUs are actually used for inference and not for model training; in other words, they replace CPUs rather than GPUs. Read

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Big Analytics Roundup (April 11, 2016)

Top story of the week is NVIDIA’s new DGX-1 deep learning chip; scroll down for more on that. We have three roundups from Strata + Hadoop World, Rashomon style: Alex Woodie reports six takeaways: Kafka, Spark, Hadoop, Cloud, machine learning, mainframes. Jessica Davis recalls four things: comedian Paula Poundstone, MapR, public data sets, AI. Nik Rouda recaps five things: Spark, machine learning,

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Big Analytics Roundup (February 1, 2016)

There are three hard news stories this week: MSFT releases its toolkit for deep learning, MSFT releases its hybrid cloud platform, and the Zeppelin team releases its latest version.  So MSFT wins the internet. In Computerworld, Doug Cutting celebrates Hadoop’s tenth birthday. InfoWorld distributes its 2016 Technology of the Year awards.  Among the 32 awards: Docker, Kubernetes, Apache Mesos, Apache Ambari, Apache Kafka, Amazon Aurora, Apache Spark,

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2016 Big Analytics Predictions Roundup

Before publishing my own predictions for 2016 later this week, I thought it would be fun to round up published predictions on analytics and Big Data.  Looking through this list, I see a few patterns: — Streaming is hot.  Analysts do not seem to understand distinctions between streaming data, streaming analytics and real-time decisioning. — “Data Science” continues to be a

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Big Analytics Roundup (December 21, 2015)

With the holidays approaching, we still have some hard news; plus, some explainers and end of 2015 roundups.  I’ll post my own roundup of 2015 later this week. On the BlueData blog, Anant Chintamaneni delivers an excellent overview of Hadoop virtualization, and the trend toward decoupling compute and storage. (h/t Hadoop Weekly) Quick Hits In InfoWorld, H2O.ai’s Sri Ambati delivers

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