What you'll get
- 13+ Hours
- 2 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
- Download Curriculum
Synopsis
- Provides a comprehensive understanding of Elasticsearch, covering core concepts such as real-time data indexing, full-text search functionality, and the development of distributed search applications.
- Explores essential features, industry best practices, and practical approaches to building and managing scalable search solutions using Elasticsearch.
- Offers self-paced, video-based training with 1 year of access, allowing learners to study at their convenience.
- Created for learners who focus on building strong expertise in Elasticsearch and aim to develop a career in this field.
- Recommends a basic familiarity with HTTP to grasp better the technical concepts covered in the course.
- Includes hands-on projects to reinforce learning and apply concepts in real-world scenarios.
- Awards Course Completion Certificates for both included courses upon successful completion.
- Provides verifiable digital certificates with unique links, suitable for sharing on resumes and professional networking platforms such as LinkedIn.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Elasticsearch Tutorials Module #1 - Queries | 10h 42m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Elasticsearch Tutorials Module #2 - Elastic Relations | 3h 38m | ✔ | View Curriculum |
Description
Elasticsearch is a powerful search and data analysis engine that indexes web content and documents to deliver fast, accurate search results. It efficiently handles HTTP links and diverse document types, with options for default or customized sorting and prioritization. The platform stores and processes large volumes of unstructured data using JSON documents for fast retrieval across distributed systems.
Elasticsearch uses the Lucene Standard Analyzer to enable indexing, ranking, and auto-suggestions. Built in Java using Apache Lucene, it is open source, allowing organizations to use and customize it freely. Its document-oriented structure provides flexibility and scalability, making it ideal for data-intensive search and analytics tasks.
Sample Certificate
Requirements
- Learners should have a basic understanding of web technologies, including how web crawlers operate and how search engines process queries to deliver results.
- Learners should understand how search engines handle user input and retrieve unstructured data from documents.
- Basic knowledge of NoSQL databases is helpful, as Elasticsearch primarily works with unstructured data rather than traditional tables or schemas.
- Understanding the differences between NoSQL and relational databases, such as MySQL, can help you grasp Elasticsearch query processing.
- Prior exposure to these concepts will accelerate learning and help learners implement search engine functionalities more effectively.
Target Audience
- This tutorial is ideal for students eager to explore how search engines operate and how they solve real-world business challenges.
- The course explains concepts clearly, making it accessible to those new to search engine technology.
- Students can apply their knowledge to complete projects that showcase their skills and help them stand out academically or professionally.
- IT professionals involved in search engine development can gain an in-depth understanding of backend processes and modules that are essential to building effective search solutions.
- By completing this Elasticsearch Training Certification, learners will gain comprehensive knowledge of search engine development and practical expertise in delivering optimized solutions.
