Ready to play
Conare
0:00
2:02
1×
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
Prof. Dr. Tilmann Rabl
The Lecture Series on Practical Data Engineering will feature presentations by distinguished speakers from industry and academia on the topic of data engineering. We will cover topics on the application of data engineering in industrial setups as well as system level advancements in data engineering research.
Hardware-Conscious Data Processing (ST 2023) - tele-TASK
Prof. Dr. Tilmann Rabl
Hardware development continuously advances, with different technologies improving at different pace. While the amount of transistors in a CPU package are growing, the single core performance is stagnating due to physical limitations. These trends require changes in data processing to keep database management systems efficient. In this lecture, we will take a look at current computer architectures and accelerator technologies and how they can be used for efficient data processing. We will cover CPU and memory architecture; the storage hierarchy; modern memory technolgoies, such as NVM and NVMe; fast interconnects, such as Infiniband, RDMA, and NVLink; and accelerators, such as GPUs and FPGAs. The course has a significant practical part, where the students learn to implement data structures and algorithms tailored to hardware concious data processing.
Big Data Systems (WT 2024/25) - tele-TASK
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 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 st
Know Thyself
Know Thyself
Know Thyself is dedicated to the exploration of the most rewarding task an individual can ever embark on: The journey to find one's Self. Our intention is to investigate the universal principals that have equipped our species to seek the treasure of all treasures, Self Knowledge. Through the investigation of Natural Law, Alchemy, The Occult, Hermeticism and all other Light Mystery School Traditions.
Frequently Asked Questions
How long is this episode of CONARE task?
This episode is 2 minutes long.
When was this CONARE task episode published?
This episode was published on September 12, 2020.
Can I download this CONARE task episode?
Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!