Big Data And Business Intelligence

200 Horas
ONLINE
Dive into the exciting world of Big Data and Business Intelligence with our online course! You will discover how large amounts of information shape the present and future of business. You will learn to interpret data, design strategies and make decisions based on relevant information. Stand out in a job market hungry for professionals in this field! Master concepts such as business intelligence, data mining, data warehousing and more to advance your career. Don't get left behind in the information age! Be part of the big data revolution.
Big Data And Business Intelligence Ampliar
385568-2401
  1. UNIT 1. INTRODUCTION TO BIG DATA
  2. What is Big Data?
  3. The age of large amounts of information: history of Big Data
  4. The importance of storing and extracting information
  5. Big Data focused on business
  6. Open data
  7. Public information
  8. IoT (Internet of Things)
  9. UNIT 2. BUSINESS INTELLIGENCE AND THE INFORMATION SOCIETY
  10. Defining the concept of Business Intelligence and Information Society
  11. Architecture of a Business Intelligence solution
  12. Business Intelligence in the company departments
  13. Concepts of Master Plan, Strategic Plan and Annual Operational Plan
  14. Operational Systems and ETL Processes in a BI system
  15. Advantages and Risk Factors of Business Intelligence
  16. UNIT 3. PHASES OF A BIG DATA PROJECT
  17. Initial diagnosis
  18. Project design
  19. Implementation process
  20. Monitoring and control of the project
  21. Responsible and available resources
  22. Scheduling
  23. Scope and economic valuation of the project
  24. UNIT 4. MAIN BUSINESS INTELLIGENCE PRODUCTS
  25. Balanced Scorecards (BSC)
  26. Decision Support Systems (DSS)
  27. Executive Information Systems (EIS)
  28. UNIT 5. DATA MINING AND MACHINE LEARNING
  29. Introduction to data mining and machine learning
  30. KDD process
  31. Data Mining Models and Techniques
  32. Application areas
  33. Text Mining and Web Mining
  34. Data mining and marketing
  35. UNIT 6. DATAMART, DEPARTMENTAL DATABASE CONCEPT
  36. Approach to the concept of DataMart
  37. OLTP databases
  38. OLAP Databases
  39. MOLAP, ROLAP & HOLAP
  40. Tools for developing OLAP cubes
  41. UNIT 7. DATA WAREHOUSE
  42. Overview: Why Data Warehouse?
  43. Structure and Construction
  44. Implementation phases
  45. Features
  46. Data Warehouse in the cloud
  47. UNIT 8. BUSINESS INTELLIGENCE AND ANALYTICS TOOLS
  48. Types of BI tools
  49. Commercial products for BI
  50. Open Source Products for BI
  51. Benefits of BI tools
  • Duración: 200 horas