Official NUC CCMAS syllabus

DTS 302 — Big Data Computing

DTS department course · Nigerian universities

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What you'll be able to do (official learning outcomes)

identify Big Data
identify some of the foundational tools, systems, and platforms that feature in working with Big Data across several domains
install Big Data working tools on a computer; and
analyse Big Data contents

Course contents

Installation: Cloudera VM, Jupyter server. Big data retrieval and relational querying: Postgres databases, NoSQL data, MongoDB, Aerospike, and Pandas for data aggregation and working with data frames. Big Data Integration: Splunk and Datameer. Big Data Processing: Apache Spark, Hadoop, Spark Core (Spark MLlib and GraphX).

Source: the Nigerian Universities Commission (NUC) Core Curriculum and Minimum Academic Standards (CCMAS). StudyOps loads this syllabus automatically when you study DTS 302.

DTS 302 — Big Data Computing

What you'll be able to do (official learning outcomes)

Course contents

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