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PODCAST

Big Data Systems (WT 2025/26) - tele-TASK

Prof. Dr. Tilmann Rabl, Nils Straßenburg, Martin Boissier
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
education courses

All Episodes

01:08:31
Distributed File Systems
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/11/26
en
01:22:33
Data Center and Cloud Computing II
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/11/25
en
01:20:15
Data Center and Cloud Computing
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/11/18
en
01:24:07
Map Reduce III (cont.)
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/11/12
en
01:27:36
Map Reduce III
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/11/11
en
01:30:42
Map Reduce II
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/10/29
en
01:27:41
Benchmarking & Measurement and Map Reduce
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/10/28
en
01:26:12
Benchmarking & Measurement
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/10/21
en
00:37:15
1st Exercise Session
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/10/21
en
01:28:05
Use Case - Search Engines
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/10/15
en
01:23:21
Introduction
Big Data Systems (WT 2025/26) - tele-TASK ·
2025/10/14
en
11 results

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