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Big Data: Week 2 - Big Data Modelling & Management System
No full textBig data workload can be grouped into two different types: Operational Workloads (also referred to as real-time, interactive workloads) and Analytical Workloads (also referred to as offline workload). Different type of workloads presents different challenges and need different classes of technology to support, although both types of the workloads tend to operate over many servers operating in a cluster, managing tens or hundreds of terabytes of data across billions of records
Big Data: Week 3 - Document-oriented Database: MongoDB
No full textDocument-oriented databases, also known as document store databases, aggregate databases, or simply document stores or document databases, are databases that use a document-oriented model to store data.
Document–oriented databases store each record and its associated data within a single document. Each document contains semi-structured data that can be queried against using various query and analytics tools.
Main implementations of document–oriented databases include: MongoDB, Apache CouchDB, Amazon DynamoDB, Azure DocumentDB, IBM Cloudant, and RavenDB.
Each document-oriented database implementation differs on the details of definition of document. In general, they all assume documents encapsulate and encode data (or information) in some standard format or encoding. Encodings generally in use include XML, JSON, and BSON.
We will look a specifical document-oriented database: MongoDB. MongoDB stores data records as BSON documents. BSON is a binary representation of JSON documents
CAPTURE VALUE - Intellectual Property - Part 1
No full textA presentation by European, UK and Irish Patent Attorney Craig Thomson on how to capture value from intellectual propert
GCU Inaugural Professorial Lecture: The Common Wealth of Glasgow.
No full textPoverty and disadvantage have become synonymous with the city of Glasgow. In tackling these problems, Professor McKendrick will assert that we must not lose sight of the human resource that is suggested by the city’s favourite marketing mantra: People Make Glasgow. A more prosperous Glasgow need not to be one that dismisses the importance of the resources that enriched the Glasgow of yesteryear.
The lecture will draw on autobiographical accounts of professional footballers who grew up in Glasgow, passing conversations overheard on the street and in the pub, the cartography of the city’s changing urban fabric, evidence of poverty and multiple deprivation and a lifetime of being in and around the city.
Professor McKendrick will consider the ways in which the city has been portrayed and understood through the seminal accounts of Sidney Checkland, Michael Pacione, Carol Craig and the Glasgow Centre for Population Health, among others. Taking account of the challenges that the city faces today and tomorrow, he will then reflect on the ‘common wealth’ of Glasgow’s past, present and future
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