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Elasticsearch Overview

  • Elasticsearch Overview

Elasticsearch Overview

  • November 4, 2019
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Back to: Elasticsearch 7 and the Elastic Stack – In Depth & Hands On!

Previous Lesson
Installing Elasticsearch [Step by Step]
Next Lesson
Intro to HTTP and RESTful API’s
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Lessons

  • Installing and Understanding Elasticsearch
    • Section 1 Intro
    • Installing Elasticsearch [Step by Step]
    • Elasticsearch Overview
    • Intro to HTTP and RESTful API’s
    • Elasticsearch Basics: Logical Concepts
    • Term Frequency / Inverse Document Frequency (TF/IDF)
    • Using Elasticsearch
    • What’s New in Elasticsearch 7
    • How Elasticsearch Scales
    • Quiz: Elasticsearch Concepts and Architecture
    • Section 1 Wrapup
  • Mapping and Indexing Data
    • Section 2 Intro
    • Connecting to your Cluster
    • Introducing the MovieLens Data Set
    • Analyzers
    • Import a Single Movie via JSON / REST
    • Insert Many Movies at Once with the Bulk API
    • Updating Data in Elasticsearch
    • Deleting Data in Elasticsearch
    • [Exercise] Insert, Update and Delete a Movie
    • Dealing with Concurrency
    • Using Analyzers and Tokenizers
    • Data Modeling and Parent/Child Relationships, Part 1
    • Data Modeling and Parent/Child Relationships, Part 2
    • Flattened Datatype
    • Mapping Exceptions
    • Section 2 Wrapup
  • Searching with Elasticsearch
    • Section 3 Intro
    • “Query Lite” interface
    • JSON Search In-Depth
    • Phrase Matching
    • [Exercise] Querying in Different Ways
    • Pagination
    • Sorting
    • More with Filters
    • [Exercise] Using Filters
    • Fuzzy Queries
    • Partial Matching
    • Query-time Search As You Type
    • N-Grams, Part 1
    • N-Grams, Part 2
    • Search-As-You-Type Field Type
    • Section 3 Wrapup
  • Importing Data into your Index – Big or Small
    • Section 4 Intro
    • Importing Data with a Script
    • Importing with Client Libraries
    • [Exercise] Importing with a Script
    • Introducing Logstash
    • Installing Logstash
    • Running Logstash
    • Logstash and MySQL, Part 1
    • Logstash and MySQL, Part 2
    • Logstash and S3
    • Importing CSV Data with Logstash
    • Importing JSON Data with Logstash
    • Parsing and Filtering Logstash with Grok
    • Logstash Grok Examples for Common Log Formats
    • Logstash Input Plugins, Part 1: Heartbeat
    • Logstash Input Plugins, Part 2: Generator and Dead Letter Queue
    • Logstash Input Plugins, Part 3: HTTP Poller
    • Logstash Input Plugins, Part 4: Twitter
    • Syslog Deep Dive
    • Elasticsearch and Apache Hadoop
    • Elasticsearch and Kafka, Part 1
    • Elasticsearch and Kafka, Part 2
    • Elasticsearch and Apache Spark, Part 1
    • Elasticsearch and Apache Spark, Part 2
    • [Exercise] Importing Data with Spark
    • Section 4 Wrapup
  • Aggregation
    • Section 5 Intro
    • Aggregations, Buckets, and Metrics
    • Histograms
    • Time Series
    • [Exercise] Generating Histogram Data
    • Nested Aggregations, Part 1
    • Nested Aggregations, Part 2
    • Section 5 Wrapup
  • Using Kibana
    • Section 6 Intro
    • Installing Kibana
    • Playing with Kibana
    • [Exercise] Exploring Data with Kibana
    • Kibana Lens
    • Kibana Management
    • Elasticsearch SQL
    • Using Kibana Canvas
    • Section 6 Wrapup
  • Analyzing Log Data with the Elastic Stack
    • Section 7 Intro
    • Data Frame Transforms
    • FileBeat and the Elastic Stack Architecture
    • X-Pack Security
    • Installing FileBeat
    • Analyzing Logs with Kibana Dashboards
    • [Exercise] Log analysis with Kibana
    • Section 7 Wrapup
  • Elasticsearch Operations
    • Section 8 Intro
    • Choosing the Right Number of Shards
    • Adding Indices as a Scaling Strategy
    • Index Alias Rotation
    • Index Lifecycle Management
    • Choosing your Cluster’s Hardware
    • Heap Sizing
    • Monitoring
    • Troubleshooting Common Issues
    • Failover in Action, Part 1
    • Failover in Action, Part 2
    • Index Design Changes
    • Snapshots
    • Snapshot Lifecycle Management
    • Rolling Restarts
    • Search Profiling
    • Uptime Monitoring with Heartbeat
    • Section 8 Wrapup
  • Elasticsearch in the Cloud
    • Section 9 Intro
    • Amazon Elasticsearch Service, Part 1
    • Amazon Elasticsearch Service, Part 2
    • The Elastic Cloud
    • Section 9 Wrapup
  • ELK on Kubernetes with Elastic Cloud on Kubernetes (ECK)
    • Introducing Elastic Cloud on Kubernetes, and Setting Up our Cluster
    • Setting Up Elasticsearch and Kibana on Kubernetes with ECK, viewing logs, and installing plugins.
    • Using Kubernetes Persistent Volumes with Elasticsearch, and Setting up an ECK Multi-Node Cluster
  • You Made It!
    • Wrapping Up
    • Continue  your Learning
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