Muhammet Orazov
Employers on the program
- 2024–2025Ververica4 talks
Appearances by year
- Flink Forward
- Berlin Buzzwords
- Community Over Code (formerly ApacheCon)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Oct 13, 2025 | Flink Forward Barcelona 2025 | Flink Forward | speaker | Beginners guide to Flink SQL query optimization as Ververica Apache Flink's SQL layer provides a rich, cost-based optimizer that can dramatically improve query performance, but its inner workings often feel complex to the…Show lessApache Flink's SQL layer provides a rich, cost-based optimizer that can dramatically improve query performance, but its inner workings often feel complex to the new learners. | |
| Jun 15, 2025 | Berlin Buzzwords 2025 | Berlin Buzzwords | talk | FlinkCDC: Streamlining your data analytics pipelines as Ververica GmbH Change Data Capture (CDC) is a powerful technique that enables organisations to react to data changes in real-time. | SlidesVideo |
| Oct 21, 2024 | Flink Forward Berlin 2024 | Flink Forward | trainer | Bridging Data Silos with Flink CDC as Ververica There are many different ETL solutions available in the market to load data continuously from the different databases. Change-Data-Capture (CDC) tools are…Show lessThere are many different ETL solutions available in the market to load data continuously from the different databases. Change-Data-Capture (CDC) tools are becoming one of the most popular and efficient solutions to move data out of the RDBMS databases. | |
| Jun 3, 2024 | Community Over Code EU 2024 | Community Over Code (formerly ApacheCon) | speaker | Understanding stream table duality using Kafka, Flink SQL and Debezium format as Ververica Kafka Streams, ksqlDB or Flink SQL are popular processing engines that enable us to run SQL queries on top of streaming data. Isn’t it fascinating that we can…Show lessKafka Streams, ksqlDB or Flink SQL are popular processing engines that enable us to run SQL queries on top of streaming data. Isn’t it fascinating that we can run SQL queries on top of streaming data as if they were relational tables, or convert a table into a stream of changelog events? | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Steffen Hoellinger | 3 | — | 2025 |
| Leonard Xu | 2 | 1 | 2025 |
| Ben Gamble | 2 | — | 2025 |
| Dominik Žnidaršič | 2 | — | 2025 |
| Fulvio Pascotto | 2 | — | 2025 |
| Giannis Polyzos | 2 | — | 2025 |
| Hans-Peter Grahsl | 2 | — | 2025 |
| Ioannis Stavrakantonakis | 2 | — | 2025 |
| Jarek Potiuk | 2 | — | 2025 |
| Jark Wu | 2 | — | 2025 |
| Jingsong Li | 2 | — | 2025 |
| Karin Landers | 2 | — | 2025 |
| Ken Krugler | 2 | — | 2025 |
| Lincoln Lee | 2 | — | 2025 |
| Lorenzo Affetti | 2 | — | 2025 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.