screenshot taken from: https://www.confluent.io/de-de/
When
Thursday, 15th October 2026, 6:00pm to 8:45pm
Where
beyond Quartier Heidestrasse, Heidestrasse 34, Berlin, Germany
Hosting Organization
Confluent
Participation Fee
Free Entrance
Agenda
Socializing, Host Intro, Talk 1, Talk 2, Pizza & Socializing
Topics Covered
EBCONT’s Market Entry into Germany (Host Intro), Data Privacy in Real-Time Data Pipelines (Talk 1), The Architecture of Scalable OpenTelemetry Collector Deployments (Talk 2)
I’ve learned something today
- Privacy techniques can distort reality. As a result, research findings may be flawed and cause real-world harm. This challenge is known as the privacy-utility tradeoff. At the same time, anonymization can create a false sense of security. After all, re-identification has been shown to be possible by combining just a few datasets, while hundreds may be available in the real world.
- Confluent Tableflow automatically converts Kafka streaming data into analytics-ready Apache Iceberg or Delta Lake tables. With this feature in place data engineers no longer need specialized knowledge of streaming technologies or complex ETL pipelines. They can work directly with analytics-ready data in familiar formats.
- SSH (Secure Shell) is a protocol that enables encrypted, secure remote access to servers and systems. Hop-by-hop SSH enables access to internal servers through intermediate jump hosts without exposing them directly to the internet. It strengthens network security by controlling access paths and limiting exposure of sensitive infrastructure.
- Latanya Sweeney is a renowned computer scientist and privacy researcher known for her pioneering data re-identification experiments. She famously demonstrated that supposedly anonymized medical records could be linked to individuals using publicly available information.
- Tokenization is a data masking technique in which sensitive information is replaced with unique, non-sensitive tokens. The mapping between the token and original data is stored securely in a token vault. It protects sensitive information while allowing applications to process data without exposing actual values.
- OpenTelemetry Arrow (OTAP) reimagines telemetry processing with a columnar architecture that dramatically reduces network traffic, memory consumption, and CPU overhead. Its Rust-based Dataflow Engine enables high-performance, scalable, and reliable observability pipelines while preserving full compatibility with OpenTelemetry.
- Some data set releases of the past can nowadays be considered a data governance nightmare:
picture taken at venue
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