1. What is Big Data?
  2. The age of large amounts of information: the history of big data
  3. The importance of storing and extracting information
  4. Big Data focused on business
  5. Open data
  6. Public information
  7. IoT (Internet of Things)

  1. Definition and relevance of the selection of data sources
  2. Nature of Big Data data sources

  1. Definition, Benefits and Features
  2. Types of Open Data

  1. Initial diagnosis
  2. Project design
  3. Implementation process
  4. Monitoring and control of the project
  5. Responsible and available resources
  6. Scheduling
  7. Scope and economic valuation of the project

  1. What is Hadoop? Relationship with Big Data
  2. Installation and configuration of Hadoop infrastructure and ecosystem
  3. HDFS file system
  4. MapReduce with Hadoop
  5. Apache Hive
  6. Apache Hue
  7. Apache Spark

  1. What is WEKA?
  2. Data Mining Techniques in Weka
  3. Weka interfaces
  4. Attribute Selection