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Using Elasticsearch and Kibana – Loonycorn

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Using Elasticsearch and Kibana – Loonycorn

Original price was: $20.00.Current price is: $7.00.

Elasticsearch wears two hats: It is both a powerful search engine built atop Apache Lucene, as well as a serious data warehousing/BI technology.

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Simplify your learning with the Using Elasticsearch and Kibana – Loonycorn course, priced at just Original price was: $20.00.Current price is: $7.00. on EDUxify! We make education accessible with over 60,000 downloadable digital courses across Uncategorized. Get expert-guided, self-paced content and save over 80%. Eduxify your knowledge today!

Using Elasticsearch and Kibana

Scalable Search and Analytics for Document Data

Elasticsearch wears two hats: It is both a powerful search engine built atop Apache Lucene, as well as a serious data warehousing/BI technology.

This course will help you use the power of ES in both contexts

ES as search engine technology:

  • How search works, and the role that inverted indices and relevance scoring play
  • The tf-idf algorithm and the intuition behind term frequency, inverse document frequency and field length
  • Horizontal scaling using sharding and replication
  • Powerful querying functionality including a query-DSL
  • Using REST APIs – from browser as well as from cURL

ES as data warehouse/OLAP technology:

  • Kibana for exploring data and finding insights
  • Support for CRUD operations – Create, Retrieve, Update and Delete
  • Aggregations – metrics, bucketing and nested aggs
  • Python client usage

Get Using Elasticsearch and Kibana – Loonycorn, Only Price $11

Course Curriculum

You, This Course, and Us

  • You, This Course, and Us (2:23)

Introducing Elasticsearch

  • Course Outline (3:00)
  • Course Materials
  • A Brief History of Search (7:51)
  • Steps in Search (8:14)
  • Inverted Index (6:12)
  • Using the Inverted Index (5:19)
  • Lucene (7:20)
  • Elasticsearch Introduced (5:37)
  • Installing ES (8:43)
  • Clusters and Nodes (5:43)
  • Indices and Documents (8:26)
  • Cluster Health (7:00)

CRUD Operations in Elasticsearch

  • Curl (7:20)
  • Create Index (8:15)
  • Create Document (8:20)
  • Retrieve Documents (5:23)
  • Update Documents (8:18)
  • Script Elements (4:40)
  • Delete (4:34)
  • mGet (4:39)
  • The Bulk API (9:06)
  • Bulk Loading (9:05)

The Query DSL (Domain-Specific Language)

  • Search Recap (4:21)
  • Random Data Gen (5:19)
  • Contexts (5:52)
  • Contexts (5:56)
  • Query Params (7:15)
  • Request Body (9:03)
  • Source Filtering (8:32)
  • Full Text Search_Match (4:10)
  • Full Text Search_MatchPhrasePrefix (7:14)t
  • Relevance (8:10)
  • TfIdf (6:06)
  • Common Terms (6:17)
  • Boolean Compound Queries (6:42)
  • Term Queries Boosting Terms (4:42)
  • Filters (6:01)
  • Wildcards (6:09)

Aggregations

  • Types Of Aggregations (3:59)
  • Metric Aggregations (7:12)
  • Cardinality Aggregations (9:07)
  • Bucketing Aggregations (5:31)
  • Bucketing Aggregations_2 (6:09)
  • Multilevel Nested Aggregations (5:13)
  • FilterBucketAggs (6:43)

Elasticsearch and Python

  • Pythonsetup (8:32)
  • Create Index (4:58)
  • Documents (5:07)
  • Search_Count (4:40)

Kibana

  • Kibana_elk (4:26)
  • Kibana_Install (2:48)t
  • Mapping (7:51)
  • Loading Logs (6:37)
  • Discovery (6:49)
  • Visualize (7:00)
  • Timelion (8:01)
  • Dashboard (3:50)
  • Anaconda and Pip (9:00)

Get Using Elasticsearch and Kibana – Loonycorn, Only Price $11


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