Using Elasticsearch and Kibana

Using Elasticsearch and Kibana

English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 6h 11m | 2.75 GB

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 and ES as data warehouse/OLAP technology.

Substantial introductory coverage of Elasticsearch. Kibana is brushed over superficially, providing only an idea of what it is used for. This course explains the inner workings of ElasticSearch very clearly.

What You Will Learn

  • Construct robust, scalable search for production use in web and enterprise apps
  • Query ES using the ES Domain Specific Language
  • Perform aggregations to extract insights and run analytics on ES
  • Interface with ES using Python
Table of Contents

Introduction
1 You, This Course and Us

Introducing Elasticsearch
2 Course Outline
3 A Brief History of Search
4 Steps in Search
5 Inverted Index
6 Using the Inverted Index
7 Lucene
8 Elasticsearch Introduced
9 Installing ES
10 Clusters and Nodes
11 Indices and Documents
12 Cluster Health

CRUD Operations in Elasticsearch
13 Curl
14 Create Index
15 Create Document
16 Retrieve Documents
17 Update Documents
18 Script Elements
19 Delete
20 mGet
21 The Bulk API
22 Bulk Loading

The Query DSL (Domain-Specific Language)
23 Search Recap
24 Random Data Gen
25 Contexts
26 Query Params
27 Request Body
28 Source Filtering
29 Full Text Search_Match
30 Full Text Search_MatchPhrasePrefix
31 Relevance
32 TfIdf
33 Common Terms
34 Boolean Compound Queries
35 Term Queries Boosting Terms
36 Filters
37 Wildcards

Aggregations
38 Types Of Aggregations
39 Metric Aggregations
40 Cardinality Aggregations
41 Bucketing Aggregations_2
42 Multilevel Nested Aggregations
43 FilterBucketAggs
44 Bucketing Aggregations

Elasticsearch and Python
45 Create Index
46 Pythonsetup
47 Documents
48 Search_Count

Kibana
49 Kibana_elk
50 Kibana_Install
51 Mapping
52 Loading Logs
53 Discovery
54 Visualize
55 Timelion
56 Dashboard
57 Anaconda and Pip