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Data Analytics Tools for Finance and Insurance - ACST891

The world of `Big Data' is rapidly evolving in finance and insurance, with new technologies emerging while existing technologies mature. Hadoop is the first high-performance commercial computing platform that works at scale and is affordable at scale. This unit focuses on the Hadoop platform and the Hadoop ecosystem of tools. These technologies are at the core of the `Big Data' phenomenon, and they facilitate scalable management and processing of vast quantities of data. Students who complete this unit will understand the architecture of Hadoop clusters. Using Hadoop and related `Big Data' technologies such as MapReduce, Hive, Impala and Pig, they will develop analytics to devise solutions to the types of problems challenging finance and insurance today.
Students undertaking this unit are expected to simultaneously enrol and complete the Cloudera course on Apache Hadoop, with the aim of obtaining the resulting Cloudera professional credentials.

Credit Points: 4
When Offered:

TBD - Not offered in the current year; next offering is to be determined

Staff Contact(s): Dr Sachi Purcal

ACST890 Prerequisite Information


Unit Designation(s):


Assessed As: Graded
Offered By:

Department of Actuarial Studies and Business Analytics

Faculty of Business and Economics

Course structures, including unit offerings, are subject to change.
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