Objectives : 
- Install the services of a Hadoop node
- Assemble several Hadoop nodes
- Deploy a new application on an existing cluster
- Perform a data restoration following disaster recovery

Objectives : 
- Apply data mining techniques to improve business decision making from internal and external data sources
- Get a head start on your competition with structured and unstructured data analysis
- Predict an outcome by using supervised machine learning techniques

Objectives : 
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Objectives : 
- Handle complex data sets stored in Hadoop without having to write complex code with Java
- Automate the transfer of data into Hadoop storage with Flume and Sqoop
- Filter data with Extract-Transform-Load (ETL) operations with Pig
- Query multiple datasets for analysis with Pig and Hive

Objectives : 
- Know the possibilities and limits of Python
- Master the essential syntax of Python
- Be able to create and maintain complete and complex applications in Python

Objectives : 
- Structure and design Cassandra databases to stay ahead of your competitors
- Apply query models to model the data of your Cassandra databases
- Access Cassandra databases with CQL and Java
- Find the right balance between read / write speed and data consistency
- Integrate Cassandra with Hadoop, Pig and Hive
- Implement the most common Cassandra design patterns

Objectives : 
- Know how to use your email
- Get organized using contact lists, calendar, agenda …

Objectives : 
- Develop efficient parallel algorithms
- Analyze unstructured files and develop MapReduce Java tasks
- Load and retrieve data from HBase and Hadoop Distributed File System (HDFS)
- User Defined Functions from Hive and Pig

Objectives : 
- Know the possibilities and limits of Python
- Master the essential syntax of Python