Webinar
OpenSearch: (Just About) Everything You Need to Know About Its Architecture
Tuesday, October 25th
10:00 - 10:30 AM PT
presenter
Presenter
Brett Orr
General Manager Bigmate

About This Webinar

OpenSearch is an incredibly powerful search engine and analytics suite for ingesting, searching, visualizing, and analyzing your data – and it is fully open source. This Apache 2.0-licensed and community-driven collection of technologies harnesses an architecture that combines the powers of Elasticsearch 7.10.2, Kibana 7.10.2 and Apache Lucene. With OpenSearch, users gain a distributed framework featuring particularly powerful scalability, high availability, and database-like capabilities.

What You Will Learn:

Attendees of this webinar will walk away understanding OpenSearch’s architecture and its building-block technology components, including:

  • Apache Lucene utilization. Learn how this high-performance Java-based search library utilizes Lucene’s inverted search index to delivers incredibly fast search results (while supporting natural language, wildcard, fuzzy, and proximity searches).
  • OpenSearch cluster architecture. An OpenSearch cluster is a distributed and horizontally-scalable collection of nodes, which are differentiated based on the operations they perform. Attendees will learn the specific functions of master, master-eligible, data, client, ingest nodes.
  • Data organization. Understand how OpenSearch organizes data into indices (which contain documents, which contain fields).
  • Internal data structures. Get an in-depth look at how OpenSearch achieves scalability and reliability by breaking up indices into shards and segments, and utilizes translogs.
  • Document indexing. Investigate the process for how OpenSearch analyzes and tokenizes data before it is stored.
  • Document searching. Understand the query phase, fetch phase, and document scoring that enables search queries.
  • Aggregations. See how OpenSearch enables its advanced built-in analytics capabilities through the power of aggregations.


Who Should Attend:

  • CTO / Business leaders
  • VP of Data or Infrastructure
  • Director of Data Platforms
  • Data Engineers

Presenter:
Seth Muthukaruppan
Senior Consultant



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