DTSC71-300: Infrastructure for Data Analytics

Using an information systems approach, this subject outlines the design principles and techniques necessary to produce appropriate infrastructure specifications for different data analytic systems. These requirements can be specified in terms of people, procedures, data, software, and hardware.  Successful designs will allow systems to automatically extract insights from vast amounts of available data.  Topics include, but are not limited to, key modern issues such as job roles in data analytic ecosystems, the operation of organisations, security and data integrity principles, business processes, blockchains, NoSQL databases, cloud solutions, software options and fundamental tenets of computing.  The knowledge of these, and understanding how the components interact together, allow students to design efficient systems that are robust to change and conform to best practice.