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

Module Content

• 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