Big Data Systems (WT 2023/24)

Prof. Dr. Tilmann Rabl, Nils Straßenburg, Panos Parchas


The amount of data that can be generated and stored in academic and industrial projects and applications is increasing rapidly. Big data analytics technologies have established themselves as a solution for big data challenges to the scalability problems of traditional database systems. The vast amounts of new data that is collected, however, usually is not as easily analyzed as curated, structured data in a data warehouse is. Typically, these data are noisy, of varying format and velocity, and need to be analyzed with techniques from statistics and machine learning rather than pure SQL-like aggregations and drill-downs. Moreover, the results of the analyzes frequently are models that are used for decision making and prediction. The complete process of big data analysis is described as a pipeline, which includes data recording, cleaning, integration, modeling, and interpretation.

In this lecture, we will discuss big data systems, i.e., the infrastructures that are used to handle all steps in typical big data processing pipelines.

Lectures

Date: October 17, 2023
Language: English
Duration: 01:21:17
Date: October 18, 2023
Language: English
Duration: 00:37:32
Date: October 24, 2023
Language: English
Duration: 01:29:27
Date: October 25, 2023
Language: English
Duration: 01:21:44
Date: November 7, 2023
Language: German
Duration: 01:25:28
Date: November 8, 2023
Language: English
Duration: 01:32:04
Date: November 14, 2023
Language: English
Duration: 01:26:08
Date: November 21, 2023
Language: English
Duration: 01:24:41
Date: November 22, 2023
Language: English
Duration: 01:27:12
Date: November 28, 2023
Language: English
Duration: 01:25:35
Due to technical issues, please watch last year's lecture:
https://www.tele-task.de/lecture/video/9656/
Date: December 5, 2023
Language: English
Duration: 01:13:55
Date: December 6, 2023
Language: English
Duration: 01:23:15
Date: December 12, 2023
Language: English
Duration: 01:22:17
Date: December 14, 2021
Language: English
Duration: 01:19:26
Date: December 13, 2022
Language: English
Duration: 01:10:03
Date: January 9, 2024
Language: English
Duration: 01:24:56
Date: January 10, 2024
Language: English
Duration: 01:27:47
Date: January 16, 2024
Language: English
Duration: 01:24:55
Date: January 23, 2024
Language: English
Duration: 01:26:43
Date: January 24, 2024
Language: English
Duration: 01:18:25
Date: January 30, 2024
Language: English
Duration: 01:02:45
Date: February 6, 2024
Language: German
Duration: 01:36:00