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− | ==Module Information==
| + | [[Media:Exploration_of_the_Darts_dataset_using_statistics.pdf]] |
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− | ===Module Objectives===
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− | * How to implement a cloud based storage solution for a company's big data needs
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− | * The knowledge needed to integrate desktop and web applications to utilize web services and stored data.
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− | * How cloud based DNS solutions can help to optimize a company's IT infrastructure
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− | * How cloud based servers and service implementations can be easily deployed for rapid utilisation
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− | * The steps involved in data exchange between web services and cloud based applications
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− | ===Resources - References===
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− | * Programming Amazon EC2, Juirg van Vliet 1st 2011 O’Reilly
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− | * Google Compute Engine, Marc Cohen 1st 2011 O’Reilly
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− | * Python for Google App Engine, Massimiliano Pippi 1st 2015 Packet
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− | * Big Data Fundamentals Concepts, Drivers & Techniques, Thomas Erl, Wajid Khattak, and Paul Buhler, Prentice Hall
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− | ==Service-Oriented Architecture (SOA)==
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− | * 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.
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− | * 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.
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− | * SOA provides access to reusable Web services over a TCP/IP network,
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− | ==XML==
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