Olena Kutsenko

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 use JavaScript to interact with the OpenSearch cluster - create an index, add documents, search and aggregate data. At the end we’ll visualise results with OpenSearch Dashboards.

JavaScript engineers who are ready to add search and aggregation features to their applications should attend this session; no previous knowledge of OpenSearch is required.

In this session the audience will get both theoretical and practical knowledge on what OpenSearch is and how they can work with it by using its NodeJS client. This is a hands-on session where the audience is invited to follow along.

There will be an accompanying GitHub repository to allow the audience to follow me during or after the lecture.

References to old talks:

I’ve already run a similar session at AWS Community Day, added its link to the list of links. However, I will modify and improve the content based on the learnings from the previous session. So the content will not be the same.

Audience:

Javascript Developers with no or little knowledge on Opensearch or Elasticsearch.

Any conversation about Big Data would be incomplete without talking about Apache Kafka and Apache Flink: the winning open source combination for high-volume streaming data pipelines.

In this talk we'll explore how moving from long running batches to streaming data changes the game completely. We'll show how to build a streaming data pipeline, starting with Apache Kafka for storing and transmitting high throughput and low latency messages. Then we'll add Apache Flink, a distributed stateful compute engine, to create complex streaming transformations using familiar SQL statements.

This session is aimed at data professionals, who are ready to embrace open source streaming and make their data fly.

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 your data. Whether you need an affordable business analytics tool or you want to analyse log data in near real time, OpenSearch can help you. And all of it through a visual interface of OpenSearch Dashboards.

After listening to this talk you’ll understand the basics of working with an OpenSearch cluster and different use cases it supports. You’ll also learn to create your first search and aggregation query and visualise the outcomes with the help of OpenSearch Dashboards.

This talk is for those who have little or no previous experience of OpenSearch (and Elasticsearch) and who are looking for solutions for searching, monitoring or data analysis with no coding required.

In this session the audience will get theoretical and a knowledge on what OpenSearch is, which use cases it supports and how the audience can start using it for their data already today. Roles outside of developers are welcome, the information will be presented in uncomplicated terms and we’ll use visualisation tools to create and run requests, so no coding is required.