On 03.02.2022 at 11 a.m., the 7th lecture of the Living Lab lecture series took place. In this talk, Jan Frenzel from TU Dresden talked about Big Data Performance Analysis. 

Big Data Performance Analysis

Jan Frenzel introduced the audience to the area of performance evaluation and performance investigation of these frameworks. Furthermore, Jan Frenzel presented benefits of using an established performance analysis tool, Vampir, as an alternative to the dashboards of Apache Spark and Apache Flink.
In the last years, the amount of data that needs to processed has increased tremendously. Java-based frameworks, such as Apache Hadoop, Apache Spark and Apache Flink have been developed to simplify the work with distributed data by hiding much of the complexity related to distributed data processing, such as splitting data or moving data in the compute cluster, behind functional building blocks. However, because of this hidden complexity, performance analysis of applications written with these frameworks is particularly challenging. The performance could be limited by the application, the framework itself or the framework’s configuration. Different approaches could be used to investigate these potential causes of low performance.

Missed this lecture on Big Data Performance Analysis? You can rewatch this lecture on YouTube.

Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

FAQ

How can I participate in the lecture?

You can reach the permanent room for all lectures here: https://tud.link/i8zf

When will the room become accessible to the audience?

The room will be accessible 5 minutes before the start of the lecture.

Who can participate in the Living Lab activities?

The participation is free for everyone.

Do I need to be familiar with topics such as Big Data and AI to benefit from the lectures?

No! Not at all. One of our goals in the Living Lab lecture series is to familiarize everyone with these topics.

Is there any technical requirements to participate in the lecture?

You just need an up-to-date browser such as Firefox, Google Chrome or Chromium. We would also recommend using headphones for better audio quality.

Should I also turn on my camera/microphone during the lecture?

Not unless you would like to! In general, there is no need to have a camera or microphone to participate in the lecture.

In that case, how can I ask a question and provide feedback?

Alongside joining the discussion with your camera and microphone, there is also the possibility to submit your question and comments as a written comment in the Chat section.

How can I easily get informed about future activities of the Living Lab?

• • Follow us on X: @Sca_DS

• • Follow us on LinkedIn: ScaDS.AI Dresden/Leipzig

• • Subscribe to our YouTube channel: https://www.youtube.com/channel/UCv7EDPwovn6T1iaMbhlpFjg

• • Subscribe to our mailing list: https://mailman.zih.tu-dresden.de/groups/listinfo/livinglab

Can I participate with my smartphone?