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IS459

Big Data Architecture

1 CreditsBoth

Description

Data Architecture is a vast area of expertise covering multiple types of data usage. Data Architecture applies to Operational use cases, Decision making processes as well as Analytical use cases. With the advent of Data Warehouses, Data Marts and Data Lakes, Data Architecture has become an important and imminent process in the Data Analytics and Business Intelligence world. The success of a Data Analytics and Business Intelligence initiative depends heavily on the Data Architecture put in place. At the same time Data Architecture can also be ambiguous, subjective and open to interpretations, depending on circumstances. This course will provide a “Guided path to Data Architecture, in the field of BIG DATA”. That means, this course will address the architectural needs of Data Analytics and Business Intelligence. It will provide a prescriptive, unambiguous and objective methodology to arrive at the Data Architecture for any business/entity that wishes to perform Data Analytics or indulge in Business Intelligence. Students are expected to learn how to methodically, step by step derive Data Architecture. This will be a practical course with heavy emphasis on project work involving hands-on architectural work. The course will involve a lot of group discussions, scenario analysis and mini-workshops.

Requisites

Prerequisites: IS459/ IS112/105/217/ANLY104/MGMT108 - Pre-req

Co-requisites: None

Anti-requisites: None

Attributes

Department: SCIS

Course Level: Undergraduate

Tracks: IS Major: Software Development Track IS/T4BS: Business Analytics Track

Areas: Business Options Business-Oriented Electives Econ Major Rel/Econ Options Grad Req - Dig Tech/Data Ana (Intake 2024 onwards) IT Solution Development Electives Smart-City Management & Tech Electives Social Sciences/PLE Major-related

Learning Outcomes

1. Basic engineering skills as a data engineer 2. Big data project scoping 3. Architecture design and implementation

Graduate Learning Outcomes

Critical thinking & problem solving, Innovation and enterprising skills, Collaboration and leadership, Communication, Self-directed learning, Resilience

Competencies

Data Design, Infrastructure Design, Solution Architecture, Systems Design, Data Engineering