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