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Module Title: 
Computer systems and Big Data Analytics
Module Code: 
DSC6231

 Comparison and contrast of small data with big data

The Brewing Trends and Transformations in the IT Landscap

The High-Performance Technologies for Big and Fast Data Analytics

Big and Fast Data Analytics Yearning for High-Performance Computing

Network Infrastructure for High-Performance Big Data Analytics

Storage Infrastructures for High-Performance Big Data Analytics

Real-Time Analytics Using High-Performance Computing

In-Database Processing and In-Memory Analytics

High-Performance Integrated Systems, Databases, and Warehouses for Big and Fast Data Analytics

High-Performance Grids and Clusters

High-Performance Peer-to-Peer Systems

Visualization Dimensions for High- Performance Big Data Analytics

 Social Media Analytics for Organization Empowerment

Big Data Analytics for Healthcare

Scaling up and out parallelism

Locality and data representation, concurrency, distributed databases and systems, performance analysis and understanding.

 Exploring of existing and emerging data science platforms, including map-reduce and graph analytics systems.

Interactive Data Analysis with Spark Shell

Introduction to Big Data Analytics principles and challenges

Types of big data: Customer data, transaction data, external data, social media data.

Data mining techniques and tools for Large Data Set

Data storage methods and how to upload, distribute, and process them, HDFS, HBase, KV stores, document database, and graph database.

visualization issues and mobile issues on Big Data Analytics,

Future challenges of Big Data

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African Center of Excellence in Data Science(ACE-DS)

Head Office:UR College of Business & Economics

E-mail:   aceds@ur.ac.rw

Phone:(+250) 788484421