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 API
demonstrate how to index datasets and conduct search activities using Elasticsearch
describe how Elasticsearch scaling and sharding work internally
work with the scalability features of Elasticsearch and manage multinode startup
list and describe the common tasks in sorting and pagination of search results
implement autocomplete suggestions for users
list and classify the types of aggregations available in Elasticsearch -
configure and work with metrics and bucket aggregation in Elasticsearch
describe the concept of relationship management and limitations in Elasticsearch
describe the scripting language and query API in Elasticsearch
demonstrate a scripting model use case, including preindex with query API
classify the principles and guidelines of improving search performance in Elasticsearch
implement 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
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
