Olena Kutsenko
where else to find them
github:anelook
bluesky:olenakutsenko.bsky.social
mastodon:
linkedin:olenakutsenko
youtube:@olenakutsenko
what they talk about
all 19 in the filters
where they keep going back
- Berlin Buzzwords4 editions2022–2026
- Devnexus2 editions2022–2023
all 18 in the filters
on a stage with
all 11 in the filters
who talks about the same things
- Viktor Gamov42 talks
- Danica Fine24 talks
- Francesco Tisiot18 talks
- Robin Moffatt28 talks
- Dean Wampler29 talks
- David Ostrovsky20 talks
| title | conference | date |
|---|---|---|
| Keeping data private in real-time pipelines | Berlin Buzzwords 2026 | 2026-06-07 |
Covers concrete patterns for streaming privacy using Apache Kafka, Apache Flink, and Apache Iceberg: masking is trivial but irreversible, tokenization requires… | ||
| Keeping data private in real-time pipelines | Voxxed Days CERN 2026 | 2026-02-10 |
Practical pipeline patterns for keeping streaming data useful while preventing reidentification using Apache Kafka and Apache Flink with Iceberg storage… | ||
| Bringing stories to life with AI, data streaming and generative agents | NDC London 2026 | 2026-01-26 |
Claims that LLM-driven agents can form coherent societies with memory and reflection, demonstrated by a Stanford demo of ~30 characters where over 50% of… | ||
| Deep dive into data streaming security | NDC Manchester 2025 | 2025-12-01 |
Real incidents include a health provider leaking 14 million messages via an unauthenticated Kafka broker and a food delivery cluster exposing ~20,000 customer… | ||
| Deep Dive into Data Streaming Security | Big Data Conference Europe 2025 | 2025-11-19 |
Concrete failure stories, precise mitigations, and measurable outcomes guide the decision: deployments use Apache Kafka, Apache Flink, Apache Iceberg… | ||
| Teaching databases to speak human with LLMs and MCP | Confitura 2025 | 2025-09-19 |
Demo connects an LLM through Model Context Protocol (MCP) to a live Kafka stream, reads minute‑level crypto data from Apache Kafka into Apache Iceberg, and… | ||
| Mastering real-time anomaly detection with open source tools | NDC Copenhagen 2025 | 2025-09-08 |
Builds a live pipeline using Apache Kafka for ingestion, Apache Flink for windowed processing, and ARIMA/ARMA plus LSTM for forecasting and anomaly scoring… | ||
| Mastering real-time anomaly detection with open source tools | Berlin Buzzwords 2025 | 2025-06-15 |
Builds a streaming pipeline that trains and retrains time‑series models on historical data in Apache Iceberg, ingests live events via Apache Kafka, processes… | ||
| Bringing stories to life with AI, data streaming and generative agents | AI-fokus 2025 | 2025-06-10 |
Prototype builds a mini Stardew Valley village where characters walk, start dialogue when within ~1,024 pixels, and exchange memories; position events stream… | ||
| Bringing stories to life with AI | PyData London 2025 | 2025-06-06 |
Claim: generative agents actually evolve in real time by wiring LLMs into streaming infrastructure. Concrete stack: Apache Kafka + Flink pipeline streams 20–30… | ||
| Sentiment Analysis in Action: Building Your Real-time Pipeline | Big Data & RPA Conference Europe 2024 | 2024-11-19 |
Real-time pipeline ingests social media records into Apache Kafka, processes them with Apache Flink calling AI models, then indexes results into OpenSearch for… | ||
| Building Effective Data Teams: Strategies for Success | Big Data & RPA Conference Europe 2024 | 2024-11-19 |
Forty‑five minute panel reports concrete tactics: build a decentralized internal data platform that lets business teams own ingestion and produce bronze silver… | ||
| Contextual search with vector search: exploring your options with open source tools | NDC Oslo 2024 | 2024-06-10 |
Demos convert 35,000 movie plots into 512‑dim vectors with the TensorFlow Universal Sentence Encoder and store them in Postgres + PGVector for brute‑force KNN… | ||
| ClickHouse: what is behind the fastest columnar database | Devoxx Ukraine 2023: AI – Friend or Foe? | 2023-09-22 |
Columnar storage with per-column files, targeted compression codecs and vectorized execution lets ClickHouse handle billions of rows and tens of GB/s for OLAP… | ||
| Beginners guide to balance your data across Apache Kafka partitions | Voxxed Days Luxembourg 2023 | 2023-06-21 |
Explains how Kafka decides partition placement (explicit partition, key hashing, and sticky partitioner), shows that sticky reduces latency ~50% and CPU 5–15%… | ||
| ClickHouse: what is behind the fastest columnar database | Berlin Buzzwords 2023 | 2023-06-18 |
Open source ClickHouse claims throughput of billions of rows and tens of gigabytes per second by using columnar storage with per‑column files and heavy… | ||
| Apache Kafka Simply Explained With TypeScript Examples | JSNation 2023 | 2023-06-01 |
You’re curious about what Apache Kafka does and how it works, but between the terminology and explanations that seem to start at a complex level, it's been… | ||
| Olena Kutsenko's Room | JSNation 2023 | 2023-06-01 |
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| Design & Developer Collaboration | JSNation 2023 | 2023-06-01 |
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| Collaboration, Productivity & Workflows | JSNation 2023 | 2023-06-01 |
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| Beginners Guide to Balance Your Data Across Apache Kafka Partitions | Devnexus 2023 | 2023-04-04 |
Explains how Kafka decides partitions: explicit partition, key-hash, or sticky partitioning (round‑robin replaced; benchmarks show ~50% latency reduction and… | ||
| ClickHouse® - What is Behind the Fastest Columnar Database? | OSA Con 2022 | 2022-11-15 |
Explains why ClickHouse processes billions of rows and claims tens of GB/s by using columnar storage, per-column compression codecs, vectorized execution and a… | ||
| Apache Kafka simply explained | Berlin Buzzwords 2022 | 2022-06-12 |
Explains that Apache Kafka is a distributed, scalable event-streaming platform that handles millions of records per day and stores petabytes persistently… | ||
| Apache Kafka Simply Explained | Devnexus 2022 | 2022-04-12 |
A clear, practical walkthrough of Kafka fundamentals that builds a runnable demo: a Java client producer sends continuous JSON messages over SSL to a topic… | ||
| Low-code data visualization and aggregation with OpenSearch Dashboards | FOSDEM 2022 | 2022-02-05 |
Working with Big Data means that we need tools to organise and understand the data. And you don’t have to be a developer to search, aggregate and visualise… | ||
| Build an Open Source Streaming Data Pipeline | FOSDEM 2022 | 2022-02-05 |
Any conversation about Big Data would be incomplete without talking about Apache Kafka and Apache Flink: the winning open source combination for high-volume… | ||
| Search and aggregations made easy with NodeJS and OpenSearch | FOSDEM 2022 | 2022-02-05 |
Learn how OpenSearch works and get equipped with practical knowledge to search, aggregate and visualise your data.
This is a hands-on session where we will… | ||
| What happens when you search for a kitten on the Internet | JSCAMP Virtual 2021 | 2021-07-15 |
Starts from DNS then measures real costs and gains: DNS caching and TTL tradeoffs, the odd limit of 13 root IP addresses and distribution via anycast across… | ||
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