Elasticsearch - architecture and advanced topics

Code: BigDataML-elastic
Category: BigData, Streaming and Machine Learning
Format: 30% lecture / 70 % workshop
Duration: 3 days
Target audience: developers
architects
Enrollment: Groups, companies
Venue: Client's office.

Training Program

The content of our program can be customised during pre-training analysis.

  1. Architecture
    1. noSQL scalability introduction
    2. Eventual consistency and CAP
    3. Multi node infrastructure management
    4. Network issues
    5. split-brain
  2. Document data modeling
    1. Flat aggregates
    2. Soft relations
    3. Embedded documents
  3. Full-text search
    1. Algorithms
    2. Strategies
  4. Why Elasticsearch?
    1. Alternatives
    2. Elastic Stack
  5. Using z Elasticsearch
    1. Installation and configuration
    2. Data modification and search
    3. testing
  6. Storage architecture
  7. Advanced search
  8. Performance tuning
  9. Integrating Elasticsearch with a legacy system
  10. Architecture maintenance
    1. Diagnosing problems
    2. Security
    3. Tools
      1. Head
      2. Kopf
      3. Sense
      4. Marvel
      5. Curator
    4. Monitoring


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If you prefer direct contact then you can always call.

Iwona Sobótka

Training coordinator


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