In today's big data era, effectively managing and extracting information has become a top priority for many businesses and organizations. The launch of Elasticsearch 8.X provides enterprises with a powerful, flexible and efficient search and analysis engine that can process large-scale data in almost real-time. In order to help enterprises make full use of the powerful functions of Elasticsearch 8.X , we specially launched the "Elasticsearch 8.X Enterprise Internal Training Best Practice 10 Lectures" series of videos, covering from index design to performance optimization, from data modeling to All aspects of cluster monitoring.
Here are some highlights from this corporate in-house training series:
Index Design Best Practices
This lecture will discuss in depth how to reasonably design indexes according to business needs to achieve efficient storage and retrieval of data. You will learn about core concepts such as the applicability of different types of fields, the choice of sharding strategy, and the use of dynamic mapping.
Best Practices for Retrieval Selection
According to the retrieval needs of different scenarios, this lecture will guide you how to choose the appropriate query type and tokenizer to achieve accurate and efficient retrieval results.
Best Practices for Performance Optimization
Performance is the focus of every system. This lecture will teach you how to improve the performance of Elasticsearch from multiple perspectives such as hardware, index structure, and query optimization .
Data Modeling Best Practices
How to properly model to accommodate complex business logic? This lecture will take you through Elasticsearch's data modeling method and how to represent complex data with Nested and Parent-Child relationships.
Best Practices at the Index Level
From index maintenance, expansion, to the underlying mechanism, etc., it helps you understand and grasp the overall picture of the index .
Best Practices for Cluster Backup
Data security cannot be ignored. This lecture will teach you how to perform cluster backup and how to quickly recover data during disaster recovery.
Cluster Monitoring Best Practices
To monitor the running status of the cluster in real time , this lecture will tell you how to configure and use the monitoring tools that come with Elasticsearch.
Java API Selection Best Practices
How to access Elasticsearch through Java? This lecture will teach you how to choose the right Java client library and how to use it.
Kibana Beats Best Practices
Kibana and Beats are important components of the Elastic Stack. This lecture will teach you how to make the most of them for data analysis and visualization.
I believe that through this series of corporate training videos, whether you are a beginner or an experienced developer, you will have the opportunity to master the best practices and advanced skills of Elasticsearch 8.X.
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Improve ElasticStack technology together!