- Presentación
- Temario
- Metodología
- Titulación
Descripción
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Objetivos
Salidas Profesionales
Temario
UNIT 1. INTRODUCTION TO BIG DATA
- What is Big Data?
- The age of large amounts of information: history of Big Data
- The importance of storing and extracting information
- Big Data focused on business
- Open data
- Public information
- IoT (Internet of Things)
UNIT 2. BUSINESS INTELLIGENCE AND THE INFORMATION SOCIETY
- Defining the concept of Business Intelligence and Information Society
- Architecture of a Business Intelligence solution
- Business Intelligence in the company departments
- Concepts of Master Plan, Strategic Plan and Annual Operational Plan
- Operational Systems and ETL Processes in a BI system
- Advantages and Risk Factors of Business Intelligence
UNIT 3. PHASES OF A BIG DATA PROJECT
- Initial diagnosis
- Project design
- Implementation process
- Monitoring and control of the project
- Responsible and available resources
- Scheduling
- Scope and economic valuation of the project
UNIT 4. MAIN BUSINESS INTELLIGENCE PRODUCTS
- Balanced Scorecards (BSC)
- Decision Support Systems (DSS)
- Executive Information Systems (EIS)
UNIT 5. DATA MINING AND MACHINE LEARNING
- Introduction to data mining and machine learning
- KDD process
- Data Mining Models and Techniques
- Application areas
- Text Mining and Web Mining
- Data mining and marketing
UNIT 6. DATAMART, DEPARTMENTAL DATABASE CONCEPT
- Approach to the concept of DataMart
- OLTP databases
- OLAP Databases
- MOLAP, ROLAP & HOLAP
- Tools for developing OLAP cubes
UNIT 7. DATA WAREHOUSE
- Overview: Why Data Warehouse?
- Structure and Construction
- Implementation phases
- Features
- Data Warehouse in the cloud
UNIT 8. BUSINESS INTELLIGENCE AND ANALYTICS TOOLS
- Types of BI tools
- Commercial products for BI
- Open Source Products for BI
- Benefits of BI tools
Metodología
EDUCA LXP se basa en 6 pilares
Titulación

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Course in Big Data and Business Intelligence