Elastic Search 5.0

Elastic Search 5.0

ElasticSearch 5.0 is a distributed, open-source search and analytics engine designed for scalability and high performance. It enables users to store, search, and analyze large volumes of data in real-time. Built on Apache Lucene, ElasticSearch 5.0 is a part of the Elastic Stack (formerly ELK Stack), including Logstash, Kibana, and Beats. The 5.0 version provides faster query execution, field data structures, geo capabilities, and better integration with Kibana and Logstash.

Certification in ElasticSearch 5.0 certifies your skills and knowledge in configuring, managing, and optimizing ElasticSearch clusters. This certification assess you in data indexing, query execution, cluster maintenance, and real-time analytics.

Why is Elastic Search 5.0 certification important?

• Demonstrates expertise in handling large-scale search and analytics tasks.
• Validates skills in setting up and managing ElasticSearch clusters.
• Enhances the ability to perform efficient data indexing and search.
• Establishes proficiency in integrating ElasticSearch with other Elastic Stack tools.
• Showcases knowledge of query optimization and cluster troubleshooting.
• Increases employability for roles in big data analytics, DevOps, and software engineering.
• Boosts credibility for professionals working in real-time analytics and log monitoring.

Who should take the Elastic Search 5.0 Exam?

• Data Engineers.
• Big Data Analysts.
• DevOps Engineers.
• Software Developers.
• IT System Administrators.
• Site Reliability Engineers (SREs).
• Application Developers working with search capabilities.
• Cloud Engineers specializing in data storage and retrieval.
• Business Intelligence (BI) Professionals.
• Cybersecurity Analysts using ElasticSearch for threat detection.

Elastic Search 5.0 Certification Course Outline
The course outline for Elastic Search 5.0 certification is as below -

• Introduction to ElasticSearch
• Cluster Management
• Data Indexing and Management
• Search Queries and Optimization
• Aggregations and Analytics
• Integration with Elastic Stack
• Security and Authentication
• Backup and Recovery