- 20
- Episodes
- 2024
- First episode
About Big Data Systems (WT 2024/25) - tele-TASK
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.
- Publisher
- Martin Boissier
- Category
- education
- Language
- en
- Explicit
- No
- First episode
- 15 Oct 2024
- Latest episode
- 4 Feb 2025
Latest episodes
20 episodes in the feed.
4 Feb 2025
Exam Prep
21 Jan 2025
Modern Cloud Warehouses
14 Jan 2025
Modern Hardware II
Podcast Authority Score: 17 / 100
A composite of feed quality, social presence, YouTube performance and engagement. Read the methodology.
- Quality
- 35
- Social presence
- 0
- YouTube
- 0
- Engagement
- 0
Contact Big Data Systems (WT 2024/25) - tele-TASK
- Guest appearances
- Does not typically book guests
Based on episode analysis; this does not confirm that the show is currently accepting guests.
Host of Big Data Systems (WT 2024/25) - tele-TASK?
Claim your podcast to manage its listing and keep your show details accurate.
Pod Engine is an independent podcast discovery and analytics service and is not affiliated with or endorsed by this podcast. Artwork and show content belong to their owners. Full legal notice.
Explore this show
Podcast research with Pod Engine