Big Data Management

Exclusively reserved for MIB Trieste Students

24 JAN, 7, 14, 21  FEB - 7, 14 MAR

DURATION: 5 sessions of 3 hours each (from 2:00 pm to 5:00 pm)
LECTURERS: Leonardo Felician, Professor of Software Programming and Information Systems at University of Trieste, Italy

This course aims to provide a general understanding of the nature and relevance of Big Data for today's business management. In addition, the course will provide participants with practical applications and several different tools that can be useful to the practice of Big Data Management.

Main skills learnt and practiced in the course:

• how to search for valuable data sources on the Internet
• how to download, upload and clean data to use it profitably
• how to organize data in easy-to-use personal database management systems
• how to get impressive geographic maps to display suitable data
• how to set up workflow management and automation between different apps

Theory: Welcome to big data world

• Principles of data design, tools for data management, the power of geolocalization
• Big Data introduction, the power of data analytics, data cleansing
• Big data for a data driven society, 5 V's of Big Data
• Predictions, Big Data in Insurance, Technical Excellence, Workflow management
• Big Data in Financial Services, data provisioning, discovering data lakes, scraping websites
• Unconventional data lakes, GIS, data hunting on social media and web, XPath, scraping tools
• Artificial Intelligence, Privacy&GDPR
• Machine Learning, NPL Javascript, XML, XPath, Ajax, Json, API for Wikipedia querying
• Data science future, Data scientist job, Technology Insight and competition, Final considerations

Practice: hands on the digital toolbox

QuintaDB; GoogleDrive; FileCabinet; GoogleSheet; Airtable; Loom; AutoHotKey; AwesomeTables; HTML; NewGoogleSites; Coupler.io; Airtable Automation; Integromat; Regular Expressions; DataMiner; Octoparse; VisionAI; Chatbots; TeachableMachines; Javascript; Cloud Convert.