Mass data management and analysis - Big Data

1- Introduction to BigData issues
-Notion of order of magnitude
-Scientific/societal/economic issues
-Problems
2- Basics of how a large-scale distributed system works.
Introduction to the hadoop ecosystem
-Notionaire administration hadoop
3 Introduction to distributed file systems.
HDFS: how it works
-Using the HDFS client
-Introduction to the JAVA programming framework for handling HDFS
4 Introduction to the Map/Reduce programming paradigm
-Elemental principles
-Implementation with Hadoop/HDFS
-Introduction to the MapReduce Hadoop2 Java programming framework.
5 Introduction to the Map/Reduce design pattern
-Filtration
-Summarization
-Organization
-Jointure
6 Introduction to BigTable (nosql)
-Demonstrating BigTable
-Introduction to the Hadoop HBASE Big Table
-Introduction to the Java programming framework for HBASE

1/Mass data management:
- Presentation on big data: Issues and challenges
- Storage
- Processing and querying (NoSQL)

2/ Infrastructures:
- Virtualization
- Cloud-based infra.
- Technologies: Haddop,

3/ Visualization:
- Representation, navigation, correlation

4/- Data analysis and extraction
- Data mining