ElasticSearch

Practice Exam
Take Free Test

ElasticSearch

 

ElasticSearch is an open-source, distributed search and analytics engine designed for handling large volumes of unstructured data in real-time. It is built on top of Apache Lucene and provides a powerful, scalable search engine for applications and websites. It supports full-text search, structured search, and analytics, making it suitable for a variety of use cases such as website search engines, log analytics, and application monitoring. ElasticSearch is part of the Elastic Stack, which also includes tools like Logstash and Kibana for data processing and visualization.

Certification in ElasticSearch attests to your skills and knowledge in deploying, managing, and configuring ElasticSearch clusters. This certification assess you in data indexing, querying, aggregation, performance tuning, and security in ElasticSearch.

 

Why is ElasticSearch certification important?

  • Validates knowledge of ElasticSearch for real-time search and analytics applications.
  • Enhances career prospects for data engineers, developers, and system administrators.
  • Provides the ability to configure and optimize ElasticSearch clusters for large-scale applications.
  • Confirms proficiency in using ElasticSearch within the Elastic Stack for comprehensive data solutions.
  • Helps professionals keep up-to-date with the latest advancements in data search and analytics technologies.
  • Improves credibility for handling performance tuning, security, and scalability in ElasticSearch.
  • Demonstrates a deeper understanding of advanced search techniques and indexing strategies.
  • Supports professionals in roles requiring the integration of search functionality into web and enterprise applications.
  • Opens opportunities in sectors such as e-commerce, big data, and cloud services that rely on ElasticSearch.
  • Increases employability for positions that demand knowledge of real-time data processing and analytics.

Who should take the ElasticSearch Exam?

  • Data Engineer
  • Backend Developer
  • Elasticsearch Administrator
  • Full-Stack Developer
  • DevOps Engineer
  • System Administrator
  • Cloud Engineer
  • Big Data Engineer
  • Search Engineer
  • Business Intelligence (BI) Developer

ElasticSearch Certification Course Outline
The course outline for ElasticSearch certification is as below -

 

  • Introduction to ElasticSearch
  • Setting Up ElasticSearch
  • Indexing and Data Management
  • Querying Data in ElasticSearch
  • Aggregations and Data Analysis
  • ElasticSearch Performance and Scaling
  • Securing ElasticSearch
  • Integrating with the Elastic Stack
  • Troubleshooting and Maintenance

ElasticSearch FAQs

• Log analytics

• Security intelligence

• Full-text search

• Business analytics, etc

This certification provides you with the knowledge of-

• ElasticSearch and its Dichotomy

• Documents 

• Indices

• Querying with RESTful API

• Powering Your Searches with DSL

This exam is intended for the following people-

• IT professionals

• People who wish to excel in software development

• Students

• Graduates

 

• Getting Started with ElasticSearch

• Dichotomy of ElasticSearch

• Get Going with Documents and Indices

• Querying with RESTful API

• Power Your Searches with DSL

• What ElasticSearch is NOT

• Getting More with ElasticStack

• Apache Log Analysis

• Advanced ElasticSearch Queries

• ElasticSearch versus Apache Solr

ElasticSearch is a distributed search and analytics engine that is built on Apache Lucene. It is amongst the most popular search engines that are used for log analytics, security intelligence, full-text search, business analytics, along with operational intelligence use cases. So, the candidates who wish to work in the software departments of companies can go for this certification exam.