Section 1 : Installing and Understanding Elasticsearch

 		Lecture 1 INTRODUCTION TO BRAINMEASURES PROCTOR SYSTEM Pdf
Lecture 2 Section 1 Intro 0:45
Lecture 3 Installing Elasticsearch [Step by Step] 17:37
Lecture 4 Elasticsearch Overview 5:44
Lecture 5 Intro to HTTP and RESTful API's 11:47
Lecture 6 Elasticsearch Basics Logical Concepts 1:57
Lecture 7 Term Frequency Inverse Document Frequency (TFIDF) 3:53
Lecture 8 Using Elasticsearch 3:57
Lecture 9 What's New in Elasticsearch 7 3:40
Lecture 10 How Elasticsearch Scales
Lecture 11 Quiz Elasticsearch Concepts and Architecture 4:4
Lecture 12 Section 1 Wrapup

Section 2 : Mapping and Indexing Data

 		Lecture 13 Section 2 Intro 0:36
Lecture 14 Connecting to your Cluster 7:0
Lecture 15 Note alternate download location for the MovieLens data set Text
Lecture 16 Introducing the MovieLens Data Set 3:53
Lecture 17 Analyzers 8:25
Lecture 18 Import a Single Movie via JSON REST 10:25
Lecture 19 Insert Many Movies at Once with the Bulk API 5:27
Lecture 20 Updating Data in Elasticsearch 6:26
Lecture 21 Deleting Data in Elasticsearch 2:11
Lecture 22 [Exercise] Insert, Update and Delete a Movie 4:11
Lecture 23 Dealing with Concurrency 10:19
Lecture 24 Using Analyzers and Tokenizers 10:45
Lecture 25 Data Modeling and ParentChild Relationships, Part 1 5:23
Lecture 26 Data Modeling and ParentChild Relationships, Part 2 7:0
Lecture 27 Flattened Datatype 13:44
Lecture 28 Dealing with Mapping Exceptions 13:13
Lecture 29 Section 2 Wrapup 0:23

Section 3 : Searching with Elasticsearch

 		Lecture 30 Section 3 Intro 0:29
Lecture 31 Query Lite interface 8:3
Lecture 32 JSON Search In-Depth 10:12
Lecture 33 Phrase Matching 6:20
Lecture 34 [Exercise] Querying in Different Ways 4:24
Lecture 35 Pagination 6:17
Lecture 36 Sorting 7:51
Lecture 37 More with Filters 3:33
Lecture 38 [Exercise] Using Filters 2:39
Lecture 39 Fuzzy Queries 5:57
Lecture 40 Partial Matching 5:22
Lecture 41 Query-time Search As You Type 4:0
Lecture 42 N-Grams, Part 1 5:15
Lecture 43 N-Grams, Part 2 8:12
Lecture 44 Search as you Type Field Type 10:26
Lecture 45 Section 3 Wrapup 0:20

Section 4 : Importing Data into your Index - Big or Small

 		Lecture 46 Section 4 Intro 0:50
Lecture 47 Importing Data with a Script 8:15
Lecture 48 Importing with Client Libraries 6:35
Lecture 49 [Exercise] Importing with a Script 3:55
Lecture 50 Introducing Logstash 4:47
Lecture 51 Installing Logstash
Lecture 52 Running Logstash 5:3
Lecture 53 Logstash and MySQL, Part 1 7:52
Lecture 54 Logstash and MySQL, Part 2 7:48
Lecture 55 Importing CSV Data with Logstash 14:4
Lecture 56 Importing JSON Data with Logstash 20:21
Lecture 57 Logstash and S3 7:53
Lecture 58 Parsing and Filtering Logstash with Grok 14:31
Lecture 59 Logstash Grok Examples for Common Log Formats 34:12
Lecture 60 Logstash Input Plugins, Part 1 Heartbeat 7:28
Lecture 61 Logstash Input Plugins, Part 2 Generator Input and Dead Letter Queue 11:28
Lecture 62 Logstash Input Plugins, Part 3 HTTP Poller 7:40
Lecture 63 Logstash Input Plugins, Part 4 Twitter 8:50
Lecture 64 Syslog with Logstash Deep Dive 13:16
Lecture 65 Elasticsearch and Apache Hadoop 29:57
Lecture 66 Elasticsearch and Kafka, Part 1 5:51
Lecture 67 Elasticsearch and Kafka, Part 2
Lecture 68 Elasticsearch and Apache Spark, Part 1 8:18
Lecture 69 Elasticsearch and Apache Spark, Part 2 5:58
Lecture 70 [Exercise] Importing Data with Spark 8:46
Lecture 71 Section 4 Wrapup 0:37

Section 5 : Aggregation

 		Lecture 72 Section 5 Intro 0:59
Lecture 73 Aggregations, Buckets, and Metrics 10:12
Lecture 74 Histograms 7:36
Lecture 75 Time Series 6:2
Lecture 76 [Exercise] Generating Histogram Data 4:20
Lecture 77 Nested Aggregations, Part 1 6:2
Lecture 78 Nested Aggregations, Part 2 8:45
Lecture 79 Section 5 Wrapup 0:23

Section 6 : Using Kibana

 		Lecture 80 Section 6 Intro 0:21
Lecture 81 Installing Kibana 4:33
Lecture 82 Playing with Kibana 10:5
Lecture 83 [Exercise] Exploring Data with Kibana 3:16
Lecture 84 Kibana Lens 14:44
Lecture 85 Kibana Management 10:19
Lecture 86 Elasticsearch SQL 8:54
Lecture 87 Using Kibana Canvas 25:14
Lecture 88 Section 6 Wrapup 0:21

Section 7 : Analyzing Log Data with the Elastic Stack

 		Lecture 89 Section 7 Intro 0:31
Lecture 90 Data Frame Transforms 16:20
Lecture 91 FileBeat and the Elastic Stack Architecture 7:26
Lecture 92 X-Pack Security 3:10
Lecture 93 Installing FileBeat 5:56
Lecture 94 Analyzing Logs with Kibana Dashboards 9:51
Lecture 95 [Exercise] Log analysis with Kibana 5:24
Lecture 96 Section 7 Wrapup 0:31

Section 8 : Elasticsearch Operations

 		Lecture 97 Section 8 Intro 0:39
Lecture 98 Choosing the Right Number of Shards 5:8
Lecture 99 Adding Indices as a Scaling Strategy 4:8
Lecture 100 Index Alias Rotation 3:52
Lecture 101 Index Lifecycle Management 2:8
Lecture 102 Choosing your Cluster's Hardware 3:15
Lecture 103 Heap Sizing 3:13
Lecture 104 Monitoring 6:22
Lecture 105 Troubleshooting Common Issues 39:40
Lecture 106 Failover in Action, Part 1 7:7
Lecture 107 Failover in Action, Part 2 8:47
Lecture 108 Index Design Changes (Grouping, Splitting, and Shrinking Indices) 21:56
Lecture 109 Snapshots 9:41
Lecture 110 Snapshot Lifecycle Management 26:1
Lecture 111 Rolling Restarts 6:37
Lecture 112 Search Profiling 11:48
Lecture 113 Uptime Monitoring with Heartbeat 20:30
Lecture 114 Section 8 Wrapup 0:29

Section 9 : Elasticsearch in the Cloud

 		Lecture 115 Section 9 Intro 0:58
Lecture 116 Amazon Elasticsearch Service, Part 1 7:17
Lecture 117 Amazon Elasticsearch Service, Part 2 5:32
Lecture 118 The Elastic Cloud 9:39
Lecture 119 Section 9 Wrapup

Section 10 : ELK on Kubernetes with Elastic Cloud on Kubernetes (ECK)

 		Lecture 120 Introducing Elastic Cloud on Kubernetes (ECK), and setting up our cluster 18:9
Lecture 121 Setting up Elasticsearch and Kibana on Kubernetes, and installing plugins 30:6
Lecture 122 Using ECK Persistent Volumes and Setting Up a Multi-Node Elasticsearch Cluster 24:15

Section 11 : You Made It!

 		Lecture 123 Wrapping Up 3:40