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Elastic Enterprise Search

  • Duration: 7 hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The Elastic Enterprise Search (Elasticsearch) Training equips professionals with practical skills to implement and operate enterprise-grade search and analytics solutions. The course focuses on the full delivery lifecycle—data ingestion and indexing, query design, relevance tuning, performance optimization, and day-2 operations (monitoring, scaling, resiliency).If your organization wants “Google-like search” across documents, knowledge bases, product catalogs, logs, or internal systems—this course builds the muscle to deliver it with confidence.

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Course Details

  • Gain standardized knowledge of Elastic search and analytics fundamentals
  • Learn practical implementation techniques for indexing, querying, filtering, and aggregations
  • Improve search quality through relevance tuning and query optimization patterns
  • Strengthen operational capability: scaling, monitoring, backup/recovery, and performance hygiene
  • Enable faster information discovery across enterprise data sources
  • Build readiness for real production environments with structured troubleshooting workflows
  • Open to software engineers, data engineers, DevOps/SREs, platform teams, and analysts working with search/analytics workloads
  • Recommended: basic understanding of JSON, APIs, and data modeling
  • Helpful (not mandatory): familiarity with Linux and logs/metrics concepts
  • No mandatory prerequisites required
  • Understand Elasticsearch architecture and core building blocks (cluster, nodes, shards, indices)
  • Ingest, index, and model data for search and analytics use cases
  • Build effective queries and aggregations for discovery and reporting
  • Improve relevance with analyzers, mappings, and tuning techniques
  • Monitor and troubleshoot performance bottlenecks and operational issues
  • Apply scaling and resiliency practices for production-ready deployments
  • Elastic/Elasticsearch overview and enterprise search use cases
  • Cluster architecture: nodes, shards, replicas, index lifecycle basics
  • Data modeling: mappings, analyzers, tokenization, keyword vs text fields
  • Data ingestion patterns: APIs, pipelines, bulk indexing (workflow perspective)
  • Querying fundamentals: match, term, boolean queries, filters, sorting
  • Aggregations for analytics: metrics, buckets, and dashboards-ready outputs
  • Relevance tuning: analyzers, boosting, synonyms, scoring strategies
  • Performance optimization: shard strategy, caching, query profiling, indexing throughput
  • Operations: monitoring, scaling, backups/snapshots, security/access controls (high level)
  • Troubleshooting workflows: slow queries, cluster health, indexing failures
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What Our Corporate Clients Say

Trusted by leading organizations worldwide

James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

Amit Shrivastav
★★★★★

It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

Who should enroll in this course?+

Engineers and ops teams who need to build or operate enterprise search, log analytics, or fast-query data platforms using Elastic.

Do I need prior Elasticsearch experience?+

No. The course typically starts with fundamentals and progresses into implementation and operations.

Is hands-on practice included?+

Yes—hands-on labs and exercises are expected for indexing, querying, tuning, and troubleshooting.

Does it cover production operations?+

Yes—monitoring, performance tuning, scaling, and common failure scenarios are covered as part of operating Elasticsearch.