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oiclid / terminologies
Created January 24, 2018 12:35 — forked from karimkhanp/terminologies
Dumping all terminologies, tool and technology required for BigData
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Apache spark - Apache Spark is an open-source data analytics cluster computing framework originally developed in the AMPLab at UC Berkeley.[1] Spark fits into the Hadoop open-source community, building on top of the Hadoop Distributed File System (HDFS).[2] However, Spark is not tied to the two-stage MapReduce paradigm, and promises performance up to 100 times faster than Hadoop MapReduce for certain applications.
Database pipelining - http://www.tuplejump.com/img/ff08.theplatform.png
As you will notice it's just not about processing the data, but involves a lot of other components. Collection, storage, exploration, ML and visualization are critical to the proect's success.
SOLR - Solr to build a highly scalable data analytics engine to enable customers to engage in lightning fast, real-time knowledge discovery.
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oiclid / index.html
Created April 20, 2017 15:31 — forked from alcides/index.html
React.js NoteTaking app with Markdown preview and DropBox storage.
<style>
#username {
float: right;
margin-right: 100px;
}
#files {
clear: right;
width: 20%;
float: left;
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oiclid / gist:fbf753818e9c47f2aae8f48190483a76
Created August 20, 2016 13:44 — forked from niyigb/gist:b8d372692a442bd10c2f
Assessment Task - Software Engineering Associate

Assessment Task - Software Engineering Associate

Task

  1. Implement a RESTful JSON HTTP API gateway that allows programmatic CRUD operations on user records.
  2. All requests should be authenticated using HTTP Basic Authentication i.e. RFC2617
  3. Host the API gateway on a publicly accessible server.
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oiclid / Readme.md
Last active August 29, 2015 14:25 — forked from WillTurman/Readme.md

D3 Streamgraph Example

Series Hover

The series hover interactivity uses the technique from lgrammel seen here: http://bl.ocks.org/1963983

Data Tooltip

It isn't necessarily a tooltip, but data is displayed by inverting the x-axis value into a date, and mapping the date to the corresponding data value for the series.