Big Data Systems (WS 2021/22) - tele-TASK
Big Data Systems (WS 2021/22) - tele-TASK
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0+ APD
Global Rank
TOP 1%
Creator:
Prof. Dr. Tilmann Rabl
- Courses
- Education
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Podcast data
Created By Prof. Dr. Tilmann RablPodcast Status activeStarted 26/10/2021Latest Episode 15/02/2022Release Period EpisodicEpisodes 23Partner Reviews 2Language EnglishFrequencyAverage LengthCountry United StatesGlobal Rank TOP 1%Description
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, In this lecture, we will discuss big data systems, ie, infrastructures that are used to handle all steps in typical big data processing pipelines. -
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Episodes
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#756790 - Use Case - Probabilistic Machine Learning @ Scale
3 years ago
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#756791 - Exam Preparation
3 years ago
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#756792 - An Introduction to Persistent Memory
3 years ago
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#756793 - Modern Hardware II & Data Processing on GPUs
3 years ago
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#756794 - Modern Hardware I
3 years ago
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