Sub Module -1: Introduction use of data and big data and data analysis to make business decisions
Duration: 3 Hrs
Recipients: users with the need to know and make the best use of data analysis, including the so-called big-data, generated by business processes along the entire value chain.
Objectives: the module aims to introduce the user to the world of data, with particular reference to the identification of information with an economic impact included in the data circulating in the company or generated by suppliers and customers.
Contents:
- Introduction to the module
- What are data and Big Data
- How a datum is born; the types of data
- What can we do with the data
- What is Big Data
- Structured and unstructured data
- What can we do with Big Data
- Big data Analytics
- The company of the future
- Final thoughts – big data and data analysis
- Key points of this module.
Sub Module -2: Insight into the evolution of data and the disciplines that use it to create value in business processes
Duration: 3 Hrs
Recipients: users with the need to know which fields of data science to use to obtain results from the data and which are the aspects and criticalities to consider in a data-driven production model.
Objectives: the module aims to deepen the user’s knowledge in the world of Big Data with particular reference to the evolution of techniques to support the data life cycle. It also aims to identify the skills necessary for obtaining and exploiting results in the different fields of application.
Contents:
- Introduction to the module
- Evolution of data linked to the Internet Phases
- The fields of Data Science
- Analysis vs Analytics
- Big Data life cycle
- Big Data analysis, a change of perspective
- Criticalities related to data protection
- Production model based on big data
- Creating value with Big Data
- Open Data
- Examples of applications
- Final thoughts – big data and data analysis
- Key points of this module.
Sub Module -3: Exploration of Big Data infrastructures indispensable for storing and analyzing data.
Duration: 3 Hrs
Recipients: users with the need to know and make the best use of Big Data technologies to create the infrastructure suitable for receiving data, transferring them to the processing platform and processing them in good time.
Objectives: the module aims to deepen the user’s knowledge in the world of Big Data by transferring the fundamental notions on technologies and architectures with particular reference to Hadoop, Spark and Kafka for the management and development of applications. It also aims at achieving basic skills on the use of technologies by viewing guided examples.
Contents:
- Introduction to the module
- The big data-proof infrastructure
- Technologies for data storage
- Apache Hadoop ecosystem
- Develop data import projects in the Hadoop cluster
- Apache Spark
- Develop batch applications for Spark
- Apache Kafka
- Develop streaming applications for Spark
- Big Data Project RoadMap
- Final thoughts – big data and data analysis
- Key points of this module.