Business Intelligence (ENVIAUMA02)

Tárgy hivatalos adatlapja: https://portal.vik.bme.hu/kepzes/targyak/VIAUMA02/en/

Classes

  • Monday: 12:15-14:00; room QBF14
  • Thursday: 14:15-16:00; room QBF14
 

Requirements

  • Lectures and seminars
    • Attendance not required, but desired. Everything mentioned during lectures may come up on the tests, even if not mentioned on published slides.
    • Please arrive on time, or do not come at all.
  • Consultations are optional; please contact the lecturer via email before the consultation.
  • For signature
    • Midterm exam (see course schedule)
    • Or optional homework 1 and 2
  • Written exam at the end of the semester
    • Written exam during the exam period
    • Optional plus points or offered grade for homework
 

Lecture and seminar materials

  • Available after login; use the link in the upper right corner "Bejelentkezés".

Semestes schedule 2019 fall

Week Nr. Date Topic
1 September 9, 2019 Requirements, introduction, case study
2 September 16, 2019 Business intelligence definitions, decission support, cloud solutions in BI systems
September 19, 2019 Relation databases, simple BI architecture, Demo
3 September 23, 2019 Building Business Intelligence systems, architecture, components, modern BI systems
4 September 30, 2019 break; no classes
October 3, 2019 Modern data storage technologies: relation and dimension modelling, NoSQL solutions, data warehouses, data marts
5 October 7, 2019 NoSQL database technologies, CRUD operations, ETL/ELT process, customization, commonly used data collection technologies, data cleansing, normalisation, discretization, KPI selection
6 October 14, 2019 ELT/ELT processes, creating such processes, customizing them. Common data collection, data cleansing methods, normalization, discretization, KPI selection.
October 17, 2019 SQL Server BI capabilities, PowerBI, commonly used statistical software; Elasticsearch, Kibana, InfluxDB, Grafana with demos
7 October 21, 2019 Demo, simple and complex ETL process.
8 October 28, 2019 Consultation option (no classes, please contact lecturer for appointment)
October 31, 2019 Midterm test
9 November 4, 2019 Complex event processing; connection various data sources, including complex event sources and fraud detection.
10 November 11, 2019 Consultation option (no classes, please contact lecturer for appointment)
November 14, 2019 Repeated midterm test
11 November 18, 2019 Datamining solutions, Jupyter with demos
12 November 25, 2019 BigData and Hadoop basic terms, tools, application areas
November 28, 2019 BigData and Hadoop demo
13 December 2, 2019 reserve class for cancelled lectures (no lecture, unless announced by instructor)
14 December 9, 2019 Optional homework presentation, consultation option (no classes, please contact lecturer for appointment)
December 12, 2019 Optional homework presentation, consultation option (no classes, please contact lecturer for appointment)

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    Publikus anyagok

  • Final exam questions (Dudás Ákos, 2019. június 7.)
  • These are questions for the state exam / final exam at the end of the MSc program.