Ela Demir
Big Data Engineer
Istanbul, Turkey
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Ela Demir was named Microsoft Female Technical Talent in 2021 and was also named an ApacheCon-USA participant with full travel assistance by Apache Software Foundation in 2022. She was a Tech Speaker at Kafka Summit London in 2023 and spoke about Kafka and Flink. She worked as a Big Data Engineer at Vodafone and Havelsan. She researches and develops big data solutions using open source technologies such as Spark, Kafka, Flink and Elasticsearch. She has a great interest in new technology trends and open source softwares. When she's not coding, she works as a global volunteer for nonprofit organisations.
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No Programming Language Needed: Use Nifi on Kafka for Your Data Flows
Drag and Drop! In this session, you can find how to build data flow using Apache Nifi over Kafka even if you do not know programming! Apache Nifi is an easy-to-use, powerful and reliable system to process and distribute data. Also if anyone in the team prefers to use a browser-based user interface for data flow rather than coding, this is the best solution to combine your Kafka sources with Apache Nifi. Nifi allows you to design, control, feedback and monitor Kafka sources and provides loss-tolerance with guaranteed delivery.
This lighting talk will inspire everyone who is interested in processing Kafka data flow in Nifi and wants to distribute tens of millions of events per second with latency that can be a few milliseconds. If you are interested, join this 10 minute session and discover what Apache Nifi is and how to implement it with Apache Kafka in best practices.
Apache Flink on Kafka: Reliable Data Pipelines Everyone Can Code
In this session, you can find out how to build crazy fast stream data pipelines using Apache Flink over Kafka.
Apache Flink is a distributed stream processing engine that can be used with Kafka's ability to handle high volume, high throughput, and low latency data streams. It is also a cluster framework that allows you to use various data sources and data formats by defining one of its various connectors.
This lighting talk will inspire everyone who is interested in streaming data with Kafka and wants to process tens of millions of Kafka events per second with latencies of mere milliseconds in Flink. If you are interested, join this 10 minute session and discover what Apache Flink is and learn some best practices for how to get started.
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