Effectively indexing and structuring data into Elasticsearch is critical for establishing efficient search criteria and effective results. Logstash filters and ingest pipelines makes processing unstructured data easier by providing a set of common processors to efficiently parse, transform, and index that data into the desired structure.
In this session, Muhammad will explain concepts from the new Elastic Stack logging courses, including how to process and structure data using a variety of common filters and processors. Muhammad will demonstrate various solutions and built-in features that convert, enrich, process, and structure different types of fields from unstructured data. In addition, He will also show how to create your own pipeline of processors for transformations that are not possible using the prebuilt processors.
• How a set of common ingest processors and Logstash filters to parse unstructured data into structured data
• Learning best practices for dissecting, converting, and enriching your fields
• Understanding of different scenarios that require either a built-in processor or a pipeline of processors to deal with certain types of unstructured data
Muhammad Sulman Sarwar is an Education Engineer at Elastic Australia. He is passionate about search and believes that "Search is everywhere". Muhammad has been working in the IT industry for 19+ years. He has worn many hats throughout his career. Before Elastic, Muhammad worked in Universities of Melbourne and Glasgow and held technical leadership roles. Muhammad holds MSc in High Performance Computing from University of Edinburgh. In his current role, Muhammad travels around the world and teaches the public about Elasticsearch and other Elastic products.
There is no fee for this event but registration is mandatory