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Andrew Lion - Hadoop360

http://www.hadoop360.com/members/AndrewLion

Subscribe to our Newsletter. Posted a blog post. THE PAST (Entity-Attribute-Value) vs THE FUTURE (Sign, Signifier, Signified). Originally posted on Data Science CentralOrientationIn both semantic model standards Topic Maps and RDF/OWL and in many other NoSQL approaches to solve efficiently the problem of how to represent relations and relationships one major stumbling block…. Aug 12, 2015. Posted a blog post. Big Data = 3 data issues. Originally posted on Data Science Central. Aug 5, 2015. Jul 28, 2015.

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Featured Discussions - Hadoop360

http://www.hadoop360.com/forums/list/featured

Subscribe to our Newsletter. Just 3 clicks to get your Apache Hadoop installed! Guest post by Kumar Chinnakali Big Data is problem statement and it can be solved with one of the tools like Apache Hadoop. But having Apache Hadoop as infra to do our proof of concepts, proof of values is little challenging. Hence we brought 3. Started by Andrei Macsin. Does Apache Tez run slower than hive on larger dataset ( 2.5 TB)? Started by Andrei Macsin. VIDEO: Aster On Hadoop - Introduction and Demo. Guest post by Vin...

3

Machine Learning at Scale with Spark - Hadoop360

http://www.hadoop360.com/xn/detail/6623215:BlogEntry:11400?xg_source=twitter

Subscribe to our Newsletter. Machine Learning at Scale with Spark. Posted by Andrew Lion. On July 28, 2015 at 1:43pm. Originally posted on Data Science Central. In my last pos. T, I covered setting up the basic tools to start doing machine learning (Python, NumPy, Matplotlib and Scikit-Learn). Now, you are probably wondering how to do this on a very large scale, involving terabytes (may be even petabytes) of data and across several server nodes. The best answer is Apache Spark. Spark is also the hottest ...

4

Practical illustration of Map-Reduce (Hadoop-style), on real data - Hadoop360

http://www.hadoop360.com/blog/practical-illustration-of-map-reduce-hadoop-style-on-real-data

Subscribe to our Newsletter. Practical illustration of Map-Reduce (Hadoop-style), on real data. Posted by Vincent Granville. On January 25, 2014 at 1:44pm. Here, we work with complete click data collected over a 7-day time period. Let's assume that we have 50 million clicks in the data set. Working with a sample is risky, because much of the fraud is spread across a large number of affiliates, and involve clusters (small and large) of affiliates. UA (user agent) ID - so we created a look-up table for UA's.

5

16 resources to learn and understand Hadoop - Hadoop360

http://www.hadoop360.com/blog/16-resources-to-learn-and-understand-hadoop

Subscribe to our Newsletter. 16 resources to learn and understand Hadoop. Posted by Vincent Granville. On April 18, 2014 at 11:48am. Enjoy the reading and learning. Add your own suggestions in the comment section. The Hadoop Ecosystem by Datameer. Free videos - MapR Academia. Reza Shiftehfar's blog I. Reza Shiftehfar's blog II. Reza Shiftehfar's blog III. Reza Shiftehfar's blog IV. Reza Shiftehfar's blog V. Reza Shiftehfar's blog VI. Reza Shiftehfar's blog VII. Hadoop classes by Cloudera.

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datasciencecentral.com datasciencecentral.com

38 Seminal Articles Every Data Scientist Should Read - Data Science Central

http://www.datasciencecentral.com/profiles/blogs/30-seminal-articles-every-data-scientist-should-read

Subscribe to DSC Newsletter. 38 Seminal Articles Every Data Scientist Should Read. Here is selection containing both external and internal papers, focusing on various technical aspects of data science and big data. Feel free to add your favorites. Complex Open Text Analysis: Source: Avinash Kaushik. Bigtable: A Distributed Storage System for Structured Data. A Few Useful Things to Know about Machine Learning. A Relational Model of Data for Large Shared Data Banks. Top 10 algorithms on Data mining. Jackkn...

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15 great data science articles from influential news outlets - Data Science Central

http://www.datasciencecentral.com/profiles/blogs/15-great-data-science-articles-from-influential-news-outlets

Subscribe to DSC Newsletter. 15 great data science articles from influential news outlets. This is our third post in our series of "great articles". For each article, click on the link after the title to read the full story. 1 How Big Data Will Disrupt the $9 Billion Music Publishing Rights Business. Http:/ blogs.wsj.com/cio/2012/05/15/how-big-data-will-disrupt-the-9. 2 Data-Mining in Doctor's Office Helps Solve Medical Mysteries. Http:/ www.businessweek.com/news/2012-05-15/data-mining-in-doctors-. Creat...

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Can any data structure be represented by one-dimensional arrays? - Data Science Central

http://www.datasciencecentral.com/forum/topics/can-any-data-structured-be-efficiently-represented-by-one-dimensi

Subscribe to DSC Newsletter. Can any data structure be represented by one-dimensional arrays? I believe so. For example,. Each node of a binary tree would use 4 array cells: one for a pointer to the father node, two pointers to the two sons, and one for the value. A similar arguments can be used for graphs (as in graph theory), non-binary trees, heaps, stacks, linked lists etc. 3 members like this. Replies to This Discussion. Reply by Uri Rodny. On May 18, 2012 at 3:17pm. Or sign in with:. 160; RSS Feeds.

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History about 24 analytic software over the last 30 years - Data Science Central

http://www.datasciencecentral.com/profiles/blogs/history-about-24-analytic-software-over-the-last-30-years

Subscribe to DSC Newsletter. History about 24 analytic software over the last 30 years. Here are Wikipedia links. Follow them to read about the history of these analytic companies and software over the last 30 years. Greenplum - http:/ en.wikipedia.org/wiki/Greenplum. Splunk - http:/ en.wikipedia.org/wiki/Splunk. Lavastorm - http:/ en.wikipedia.org/wiki/Lavastorm. Rapid Miner - http:/ en.wikipedia.org/wiki/RapidMiner. SAS - http:/ en.wikipedia.org/wiki/SAS Institute. Informatica - http:/ en.wikipedia...

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iPad Program Let's You Touch Your Data - Data Science Central

http://www.datasciencecentral.com/profiles/blogs/ipad-program-let-s-you-touch-your-data

Subscribe to DSC Newsletter. IPad Program Let's You Touch Your Data. As more devices add touch capabilities, doesn't it make sense that your data should be flexible enough to push around? Researchers at Carnegie Mellon University. May be on to something big when it comes to manipulating Big Data. Jeffrey Rzeszotarski, a Ph.D. student in the Human-Computer Interaction Institute. The proof of concept idea is called " Kinetica. Here a user is trying to understand how models of cars (the circles) differ base...

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Data Science Central RSS Feeds - Data Science Central

http://www.datasciencecentral.com/page/news-feeds

Subscribe to DSC Newsletter. Data Science Central RSS Feeds. First, let's mention our. Data Science search box. Easy to embed in any blog, and ad-free. To see the benefits of adding this search box to. Provide added value to your visitors. Search results are very relevant, based on more than 10,000 articles from selected blogs, covering machine learning, R, data science, statistics and related topics. Data Science Central - Featured Blog Posts. See below. They are free to use on any website:. Contact us ...

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Zac Smith's Page - Data Science Central

http://www.datasciencecentral.com/profile/ZacSmith

Subscribe to DSC Newsletter. 0 members like this. Zac Smith's Groups. Data Science Apprentices…. Zac Smith has not received any gifts yet. Zac Smith's Page. Jul 29, 2015. Jul 26, 2015. Blog post 7 Python Tools All Data Scientists Should Know How to Use. Jul 26, 2015. My Web Site Or LinkedIn Profile. Http:/ www.linkedin.com/in/zrsmith5. Finding a new position, Networking, Other. What is your Favorite Data Mining or Analytical Website? Http:/ www.kdnuggets.com. Join Data Science Central. Or sign in with:.

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Mandy Parmenter's Page - Data Science Central

http://www.datasciencecentral.com/profile/MandyParmenter

Subscribe to DSC Newsletter. 0 members like this. Mandy Parmenter's Groups. Data Science Apprentices…. Mandy Parmenter has not received any gifts yet. Mandy Parmenter's Page. Liked Laetitia Van Cauwenberge's. Discussion 1.5 TB dataset of anonymized user interactions released by Yahoo. Blog post Our Berkeley Data Science Capstone Project: Rap Analysis. Dec 22, 2015. Blog post 9 Steps to Become a Data Scientist from Scratch. Oct 11, 2015. Blog post 10 Real Data Scientist Interview Questions. Sep 24, 2015.

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Taymour Matin's Page - Data Science Central

http://www.datasciencecentral.com/profile/TaymourMatin

Subscribe to DSC Newsletter. 0 members like this. Taymour Matin's Discussions. Climate Change's Big Impact on Big Data. Started Jul 26, 2015 0 Replies. It’s not the amount of data to manage that’s the problem. It’s not the technology trying to tame the data that’s the problem. It’s not even the people who use it. The problem has to do with science Continue. Taymour Matin has not received any gifts yet. Taymour Matin's Page. S discussion was featured. Climate Change's Big Impact on Big Data. Jul 29, 2015.

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RDMA-Apache-Hadoop-2.x 0.9.6 Features. Based on Apache Hadoop 2.6.0. High performance design with native InfiniBand and RoCE support at the verbs level for HDFS, MapReduce, and RPC components. Compliant with Apache Hadoop 2.6.0 APIs and applications. Easily configurable for different running modes (HHH, HHH-M, HHH-L, and MapReduce over Lustre) and different protocols (native InfiniBand, RoCE, and IPoIB). HDFS over native InfiniBand and RoCE. MapReduce over native InfiniBand and RoCE. Supports two shuffle...

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目前有三本 图书封面见右 ,分别介绍Common HDFS、MapReduce和YARN,均已经出版,你可以在当当、京东、亚马逊等网站购买。 一书由蔡斌老师编写,该书基于hadoop 1.x分析了Hadoop Common和HDFS的实现原理和源代码,该书目前已经出版。 一书由董西成编写,该书基于hadoop 1.x分析了Hadoop MapReduce的实现原理和源代码,该书目前已经出版。 一书由董西成编写,该书基于hadoop 2.x分析了Hadoop YARN的实现原理和源代码, 你可以在 当当. Hadoop技术内幕 深入解析YARN架构设计与实现原理 一书每一章后面带有一些问题讨论题目, 大家可在博客专栏 Hadoop技术内幕 YARN 问题讨论. 微信公众账号 hadoop123 微信号 hadoop-123. 这两本讲的是不同层次的系统,YARN这一本专讲Hadoop 2.0中新引入的资源管理系统YARN,它之上可以运行各种计算框架,而MapReduce只是运行在它之上的一个离线框架, 其他计算框架还有Tez、Spark、Storm等。

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HADOOP'14 | Home

Association of Computer Science and Engineering. Objective of the Workshop. The current wave of Big Data has tremendous opportunities. The deluge of big data is likely to persist in the future. Tools to handle big data will eventually become main stream and common place, which is when almost everyone is working with big data and our workshop focuses on the participate to learn about hadoop. Program Benefits and Highlights. Learn and interact with renowned Industry experts. UG/PG Students : Rs. 400.

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Subscribe to our Newsletter. A Data Science Central Community Channel devoted entirely to all things Hadoop. Hadoop Falcon and Data Lifecycle Management. Posted by Andrei Macsin. On August 5, 2015 at 11:16am. Embrace Relationships with Neo4J, R and Java. Posted by Mike Beneth. On August 5, 2015 at 9:00am. Originally posted Data Science Central. Graphs are everywhere, used by everyone, for. Big Data = 3 data issues. Posted by Andrew Lion. On August 5, 2015 at 8:00am. NoSQL and NewSQL Database Adoption 2014.

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