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Showing posts with label Apps Android. Show all posts
Showing posts with label Apps Android. Show all posts

[Apps] Apache Flume Tutorial

[Apps] Apache Flume Tutorial



Product description
Learn Apache Flume
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Flume is a standard, simple, robust, flexible, and extensible tool for data ingestion from various data producers (webservers) into Hadoop. In this tutorial, we will be using simple and illustrative example to explain the basics of Apache Flume and how to use it in practice.




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* Features:
# Quick and Easy Navigation
# Very simple User Interface
# One click share for your friend


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[Apps] Apache Storm Tutorial

[Apps] Apache Storm Tutorial



Product description
Learn Apache Storm
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Storm was originally created by Nathan Marz and team at BackType. BackType is a social analytics company. Later, Storm was acquired and open-sourced by Twitter. In a short time, Apache Storm became a standard for distributed real-time processing system that allows you to process large amount of data, similar to Hadoop. Apache Storm is written in Java and Clojure. It is continuing to be a leader in real-time analytics. This tutorial will explore the principles of Apache Storm, distributed messaging, installation, creating Storm topologies and deploy them to a Storm cluster, workflow of Trident, real-time applications and finally concludes with some useful examples.



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* Features:
# Quick and Easy Navigation
# Very simple User Interface
# One click share for your friend
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[Apps] Learn Apache Spark

[Apps] Learn Apache Spark

Product description
Apache Spark is a lightning-fast cluster computing designed for fast computation. It was built on top of Hadoop MapReduce and it extends the MapReduce model to efficiently use more types of computations which includes Interactive Queries and Stream Processing. This is a brief tutorial that explains the basics of Spark Core programming.
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[Apps] Apache Solr Tutorial

[Apps] Apache Solr Tutorial



Product description
Learn Apache Solr
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Solr is a scalable, ready to deploy, search/storage engine optimized to search large volumes of text-centric data. Solr is enterprise-ready, fast and highly scalable. In this tutorial, we are going to learn the basics of Solr and how you can use it in practice.



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* Features:
# Quick and Easy Navigation
# Very simple User Interface
# One click share for your friend
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[Apps] Apache Pig Tutorial

[Apps] Apache Pig Tutorial

Product description
Learn Apache Pig
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Apache Pig is an abstraction over MapReduce. It is a tool/platform which is used to analyze larger sets of data representing them as data flows. Pig is generally used with Hadoop; we can perform all the data manipulation operations in Hadoop using Pig.



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* Features:
# Quick and Easy Navigation
# Very simple User Interface
# One click share for your friend
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