Data Management
Elasticsearch 6.2
| Intermediate
- 13 Videos | 1h 4m 18s
- Includes Assessment
- Earns a Badge
Explore Elasticsearch's data management capabilities, as well as how to use Elasticsearch indexes, shards, and filters to manage data.
WHAT YOU WILL LEARN
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list Elasticsearch components and indexing documents using REST and APIdemonstrate how to index datasets and conduct search activities using Elasticsearchdescribe how Elasticsearch scaling and sharding work internallywork with the scalability features of Elasticsearch and manage multinode startuplist and describe the common tasks in sorting and pagination of search resultsimplement autocomplete suggestions for userslist and classify the types of aggregations available in Elasticsearch
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configure and work with metrics and bucket aggregation in Elasticsearchdescribe the concept of relationship management and limitations in Elasticsearchdescribe the scripting language and query API in Elasticsearchdemonstrate a scripting model use case, including preindex with query APIclassify the principles and guidelines of improving search performance in Elasticsearchimplement filtering using Elasticsearch in various scenarios
IN THIS COURSE
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1.Indexing in Elasticsearch9m 39sUP NEXT
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2.Using Dataset and Index Application3m 17s
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3.Understanding Sharding and Scalability5m 29s
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4.Using Elasticsearch Scalability Features3m 29s
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5.Managing Search Results4m 55s
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6.Implementing Autocomplete Suggestions4m 23s
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7.Understanding Elasticsearch's Aggregation Capability5m 10s
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8.Working with Aggregation in Elasticsearch5m 25s
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9.Managing Relationships in Elasticsearch5m 58s
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10.Scripting Language Basics6m 8s
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11.Scripting Use Case3m 36s
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12.Improving Search Performance3m 43s
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13.Exercise: Implementing Elasticsearch Filtering3m 5s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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