Difference between revisions of "Big Data Integration"

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==Module Information==
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[[Media:Exploration_of_the_Darts_dataset_using_statistics.pdf]]
 
 
===Module Objectives===
 
* How to implement a cloud based storage solution for a company's big data needs
 
* The knowledge needed to integrate desktop and web applications to utilize web services and stored data.
 
* How cloud based DNS solutions can help to optimize a company's IT infrastructure
 
* How cloud based servers and service implementations can be easily deployed for rapid utilisation
 
* The steps involved in data exchange between web services and cloud based applications
 
 
 
===Resources - References===
 
* Programming Amazon EC2, Juirg van Vliet 1st 2011 O’Reilly
 
* Google Compute Engine, Marc Cohen 1st 2011 O’Reilly
 
* Python for Google App Engine, Massimiliano Pippi 1st 2015 Packet
 
* Big Data Fundamentals Concepts, Drivers & Techniques, Thomas Erl, Wajid Khattak, and Paul Buhler, Prentice Hall
 
 
 
 
 
==Service-Oriented Architecture (SOA)==
 
* A service-oriented architecture (SOA) is a style of software design where services are provided to the other components by application components, through a communication protocol over a network.
 
 
 
* A service is a discrete unit of functionality that can be accessed remotely and acted upon and updated independently, such as retrieving a credit card statement online.
 
 
 
* SOA provides access to reusable Web services over a TCP/IP network,
 
 
 
==XML==
 
 
 
==Consuming a Web Service in Java using NetBeans IDE==
 
This document provides step-by-step instructions to consume a web service in Java using NetBeans IDE.
 
 
 
In the project, we will invoke a sorting web service through its WSDL link: http://vhost3.cs.rit.edu/SortServ/Service.svc?singleWsdl.
 

Latest revision as of 15:54, 11 September 2024