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Creating a Spark Streaming Application in Java. Published: Sat 30 April 2016. Uses the power of Spark on streams of data, often data generated in real time by many producers. A typical use case is analysis on a streaming source of events such as website clicks or ad impressions. In this tutorial I'll create a Spark Streaming application that . Getting Started with Spark: Running a Simple Spark Job in Java. Published: Mon 18 April 2016. Using Jupyter notebooks securely on remote linux machines. Data and p...

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Creating a Spark Streaming Application in Java. Published: Sat 30 April 2016. Uses the power of Spark on streams of data, often data generated in real time by many producers. A typical use case is analysis on a streaming source of events such as website clicks or ad impressions. In this tutorial I'll create a Spark Streaming application that . Getting Started with Spark: Running a Simple Spark Job in Java. Published: Mon 18 April 2016. Using Jupyter notebooks securely on remote linux machines. Data and p...

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Data Science Bytes | datasciencebytes.com Reviews

https://datasciencebytes.com

Creating a Spark Streaming Application in Java. Published: Sat 30 April 2016. Uses the power of Spark on streams of data, often data generated in real time by many producers. A typical use case is analysis on a streaming source of events such as website clicks or ad impressions. In this tutorial I'll create a Spark Streaming application that . Getting Started with Spark: Running a Simple Spark Job in Java. Published: Mon 18 April 2016. Using Jupyter notebooks securely on remote linux machines. Data and p...

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Data Science Bytes - News

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GitHub now renders Jupyter (IPython) notebooks. Published: Fri 15 May 2015. I just noticed that GitHub now renders Jupyter (IPython) notebooks when you view the file. This is great! Published: Sun 19 April 2015. Videos of the talks from PyCon 2015 can be found here. I haven't had a chance to watch any yet but I'm sure some of them will be excellent. You can see my favorite python and data science videos on the recommended videos page. Pandas 0.16.0 released. Published: Sun 29 March 2015. I just posted a ...

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Data Science Bytes - AWS

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Using Jupyter notebooks securely on remote linux machines. Published: Fri 18 December 2015. There are times when it makes sense to offload work from a local laptop to a remote machine. When the data set already resides in AWS it's much faster to download it to an EC2 instance rather than to your machine. Occasionally a bit more RAM or disk space . First Look at AWS Machine Learning. Published: Mon 20 April 2015. Amazon Web Services recently announced Amazon Machine Learning. Published: Sat 07 March 2015.

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Data Science Bytes - Java

http://www.datasciencebytes.com/tag/java.html

Creating a Spark Streaming Application in Java. Published: Sat 30 April 2016. Uses the power of Spark on streams of data, often data generated in real time by many producers. A typical use case is analysis on a streaming source of events such as website clicks or ad impressions. In this tutorial I'll create a Spark Streaming application that . Getting Started with Spark: Running a Simple Spark Job in Java. Published: Mon 18 April 2016. Page 1 / 1. Transitioning to Data Science.

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Getting Started with Spark: Running a Simple Spark Job in Java

http://www.datasciencebytes.com/bytes/2016/04/18/getting-started-with-spark-running-a-simple-spark-job-in-java

Getting Started with Spark: Running a Simple Spark Job in Java. Published: Mon 18 April 2016. Has a useful command prompt interface but its true power comes from complex data pipelines that are run non-interactively. Implementing such pipelines can be a daunting task for anyone not familiar with the tools used to build and deploy application software. This article is meant show all the required steps to get a Spark application up and running, including submitting an application to a Spark cluster. Step 3...

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Data Science Bytes - Frank Cleary

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Creating a Spark Streaming Application in Java. Published: Sat 30 April 2016. Uses the power of Spark on streams of data, often data generated in real time by many producers. A typical use case is analysis on a streaming source of events such as website clicks or ad impressions. In this tutorial I'll create a Spark Streaming application that . Getting Started with Spark: Running a Simple Spark Job in Java. Published: Mon 18 April 2016. Using Jupyter notebooks securely on remote linux machines. Data and p...

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data | Frank Cleary

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Death Valley December 2014. Death Valley December 2012. Yosemite Wedding (August 2012). Book review: How Linux Works. March 14, 2015. How Linux Works: What Every Superuser Should Know. Is an excellent book that gives a well organized introduction to what’s going on behind the scenes of a linux system ( disclaimer. Helped make me more effective at all of these roles. Data Science Bytes Launch. November 8, 2014. Pages may be especially interesting. Book review: Think Bayes. October 12, 2014. Is a rare book...

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Resume | Frank Cleary

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Death Valley December 2014. Death Valley December 2012. Yosemite Wedding (August 2012). E: frank at frankcleary dot com. W: www.frankcleary.com. University of California, Berkeley, Berkeley, CA. Cornell University, College of Arts and Sciences, Ithaca, NY. BA in Physics,. With distinction in all subjects, May 2006. 396 GP.A. in Math and Physics courses. 8211; Data Science tips, tutorials and news. Hadoop, Pig, Hive, AWS. Pandas, Numpy, Matplotlib. R, SQL, Matlab. Software Engineer in Analytics (SE II).

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Creating a Spark Streaming Application in Java. Published: Sat 30 April 2016. Uses the power of Spark on streams of data, often data generated in real time by many producers. A typical use case is analysis on a streaming source of events such as website clicks or ad impressions. In this tutorial I'll create a Spark Streaming application that . Getting Started with Spark: Running a Simple Spark Job in Java. Published: Mon 18 April 2016. Using Jupyter notebooks securely on remote linux machines. Data and p...

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