Title

AWS re:Invent 2023 - Transform data investigation via Elasticsearch Query Language (ESQL) (AIM233)

Summary

ESQL is introduced as a transformative tool for data investigation, developed by Elastic engineers.
The session is presented by Ninoslav and James Pateri from the security team.
ESQL aims to address the challenge of sifting through unstructured data and various data formats.
It features a powerful query engine, a new pipe query language, and a unified query experience.
ESQL's distributed query engine is optimized for speed and efficiency, operating in blocks and utilizing multithreading.
The pipe query language simplifies data transformation and investigation, allowing for concurrent execution of searches and aggregations.
ESQL will be integrated into Kibana for security and observability, enabling querying, aggregation, and visualization in one place.
Informatica, a data management company, has been involved in the private beta program and anticipates ESQL to be a primary query language.
ESQL also supports alerting features, allowing users to set up alerts based on aggregated values.
The session includes a demo by James Pateri, showcasing ESQL's capabilities in security threat hunting and observability.
ESQL has its own API endpoint, and the session demonstrates its use programmatically and through Kibana.
An AI Assistant is available to help users write ESQL queries and understand their structure.
The session concludes with a Q&A opportunity for attendees.

ESQL represents a significant advancement in Elasticsearch's capabilities, focusing on efficiency and user experience.
The integration of ESQL into Kibana suggests a move towards a more streamlined and centralized data analysis workflow.
The emphasis on concurrent execution and multithreading indicates a strong focus on performance, particularly for large-scale data sets.
The introduction of a pipe query language reflects a trend towards more intuitive and expressive data querying methods.
The involvement of Informatica in the beta program and their positive feedback suggests industry confidence in ESQL's potential.
The AI Assistant's ability to generate and explain ESQL queries demonstrates Elastic's investment in AI and machine learning to enhance user experience.
The session's content indicates that ESQL could be a game-changer for users who need to perform complex data investigations and transformations without extensive re-indexing or data processing steps.