ElasticStack

Quick roundabout ELK

▪ ELK in Big Data world

▪ Benefits of ELK

▪ ELK in the Real World

Quick and brief – ElasticSearch and ECK

▪ Introduction to ElasticSearch

▪ ElasticSearch as a distributed system

▪ Features

▪ Terminology

ES – deep dive continue

▪ ES Vs RDBMS

▪ ElasticSearch Roles

▪ Use cases

▪ Deploying and configuring ES in containers

▪ Term Frequency / Inverse Document Frequency (TF/IDF)

▪ Using Elasticsearch

▪ How Elasticsearch Scales

Mapping and indexing Data

▪ ES Mapping

▪ Dynamic Mapping

▪ EXPLICIT MAPPING

▪ Built in and Custom Analyzers in depth

▪ Testing and Validation of Analyzers

▪ Normalizers

▪ CRUD Operations in ES

▪ Streaming Operation in ES

▪ Concurrency handling

Using ElasticSearch API

▪ Intro To ElasticSearch API

▪ Cluster Health & Status

▪ Indexing Data in ES and Data ingestion

▪ Basic Search using API

▪ Reindexing process and Scenarios

▪ Schema Management

Deep Dive: Advanced Indexing, Mappings And Searching

▪ Index advanced Settings

▪ Index Templates

▪ Advanced and Dynamic Mapping

▪ Mapping parameters and Custom fields

▪ Custom analyzers for tailoring text analysis

DEEP DIVE: SEARCH API

▪ Search Types in Elasticsearch from lite to Search as you type

▪ Filters

▪ Query Caching

▪ AutoComplete

▪ Normalization vs. Denormalization – Introduction

▪ Inner Hits

Kibana Basic

▪ Overview of Kibana

▪ Kibana UI Tour

Kibana: Data Exploration

▪ Discover Tab

▪ Query Language and Filters

Kibana: Visualization Basics

▪ Creating Basic Visualizations

▪ Types of Visualizations

▪ Building Dashboards

▪ Adding Visualizations to Dashboards

Kibana: Use Cases

▪ Log Analysis

▪ Metrics Monitoring

▪ Data Analysis

Kibana: Advanced Features

▪ Timelion for Time Series

▪ Alerting and Monitoring

Kibana: Best practices

▪ Performance Optimization

▪ Security Features

Summary: This course integrates theoretical instruction with practical exercises, providing a well-rounded educational experience in ElasticStack