About the course
Our Elasticsearch Training Course with Kibana provides developers with the practical skills to leverage the Elastic Stack effectively.
You'll gain hands-on experience in understanding Elasticsearch architectures, formulating relevant search queries, and grasping the core mechanics for performance considerations.
Our expert instructor will guide you through real-world scenarios and practical exercises using Elasticsearch and Kibana, equipping you with the tangible skills and confidence to implement robust search and analysis features in your own projects.
Online and in-house face-to-face options are available - as part of a wider customised training programme, or as a standalone workshop, on-site at your offices or at one of many flexible meeting spaces in the UK and around the World.
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- Design and Implement Effective Elasticsearch Architectures: Understand the core components of Elasticsearch architecture and learn to design solutions for various use cases.
- Master Elasticsearch Mappings for Optimal Data Handling: Define and manage Elasticsearch mappings to ensure efficient data storage, indexing, and querying.
- Perform Powerful Document Search and Analysis: Develop proficiency in Elasticsearch's search API, text analysis techniques, and relevance scoring to build effective search experiences.
- Manage and Maintain a Healthy Elasticsearch Cluster: Learn essential cluster management operations to ensure stability, performance, and scalability.
- Secure Your Elasticsearch Environment with X-Pack: Implement and configure Elasticsearch security features using X-Pack to protect your data and cluster.
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This focused Elasticsearch training course is ideal for professionals who need to build powerful search and analytics solutions for their data. It will be particularly valuable for:
Data Scientists and Analysts: Seeking to leverage Elasticsearch for fast data exploration, analysis, and building search-powered applications.
Software Developers: Wanting to integrate robust and scalable search functionality into their applications.
Database Developers: Looking to understand and implement NoSQL search solutions for enhanced data retrieval and analysis.
Data Warehouse Managers: Exploring Elasticsearch as a complementary technology for real-time analytics and search over large datasets.
Business Intelligence Specialists: Aiming to build interactive dashboards and search interfaces for business insights using the Elastic Stack.
Software Architects: Designing scalable and high-performance search and analytics architectures for various applications.
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While this course provides a comprehensive introduction to Elasticsearch, some familiarity with basic IT concepts or data handling will be beneficial.
Ideally, delegates will have some experience with software development and/or database concepts, but this is not a strict requirement. A general understanding of data structures and querying principles will be helpful for grasping the concepts more quickly.
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This Elasticsearch course is available for private / custom delivery for your team - as an in-house face-to-face workshop at your location of choice, or as online instructor-led training via MS Teams (or your own preferred platform).
Get in touch to find out how we can deliver tailored training which focuses on your project requirements and learning goals.
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Introduction
Why Elasticsearch ?
Architecture of Elasticsearch
Shards and Replication
Types of Node
Cluster Topologies
Hot Warm Cold Architecture
Configuration
Important Configurations
Node discovery
Cluster Settings
Mappings
Mapping
Data Types
Meta Data
Dynamic mapping
Resolving Mapping Conflict
Search
How to optimize search relevance
Match and Term Queries,fuzzy search
Compound Queries Bool, function score
Nested Queries,
Geo Queries
Pagination and Sorting
Aggregations
Introduction
Aggregation Types
Metric Aggregations
Bucket Aggregations
Metric + Bucket Aggregations
Range and Date Aggregations
Analyzers
What are analyzers and why do we use them
Custom Analyzers,Tokenizers and Filters
Telephone numbers
Autocomplete
Data Modelling and Relational Data
How to structure your indices
Relational vs non relational databases
Denormalizing data
Nested data
Indexing Strategies
Index Settings
Index Aliases
Index Templates
Index Lifecycle Management
DataStreams
Elasticsearch Best Practises
Sharding
Aliases
Re-indexing
Optimizing Indexing
Optimizing Search Queries
Kibana and Dashboards
Discovery Panel
Visualisations and Dashboards
Development Panel
Backup / Disaster Recovery
Snapshot & Restore
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https://www.elastic.co/platform - the home of Elastic
https://www.elastic.co/logstash - Logstash resources
https://www.elastic.co/kibana - Kibana resources
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