From Raw Data to Real Insight

Join us for a meetup on April 21th together with Elastic and Confluent! Doors open at 17.45 and we share some pizzas and drinks before the presentations begin at 18.30. We wrap up around 20.45.

Address: Nine A/S Office
Kongens Nytorv 18
DK-1050 København K

Agenda:
17.45: Doors open
18.00: Pizzas, drinks and networking
18.30: From live data to useful insights with Apache Kafka, Apache Flink and Elasticsearch
19.15: From Raw Data to Real Insight: Modern Dashboards and Data Exploration with ES|QL in Kibana
20.30: Wrap up

Talks:
From live data to useful insights with Apache Kafka, Apache Flink and Elasticsearch
In this session, we will explore how to monitor and analyze streaming data using Apache Kafka, Apache Flink, Elasticsearch, and AI. We will take a live data stream from a public source, process it through Apache Kafka, transform it with Apache Flink, and then send it to Elasticsearch. Next, we will use large language models (LLMs) to analyze each record, extract insights, and categorize the data so that the final output can be stored in Elasticsearch for search, aggregations, and visualizations.

Speaker: Olena Kutsenko, Confluent

From Raw Data to Real Insight: Modern Dashboards and Data Exploration with ES|QL in Kibana
Kibana has evolved from simple visualizations to a powerful exploration workspace where search, aggregation, and advanced analytics come together in one flow.

In this session, Ninoslav Miskovic, Principal Product Manager for Discover, walks through the latest capabilities in Kibana Dashboards and data exploration powered by ES|QL.

We will cover how ES|QL changes the way you explore data, including joins, advanced aggregations, pattern analysis, and faster iteration directly in the UI. You will see how these capabilities surface in dashboards and how they enable more flexible, analyst-driven workflows across observability, security, and search use cases.

*Speaker: Ninoslav Miskovic (Principal