on-demand course

Elasticsearch 9 and the Elastic Stack

with Frank Kane

September 2022

Intermediate

15h 19m

English

Packt Publishing

Closed Captioning available in English, Spanish

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Course outline

Section 1 Introduction
45s
Installing Elasticsearch (Step-by-Step)
19m 3s
Overview of Elasticsearch
5m 44s
Introducing HTTP and RESTful APIs
11m 48s
Elasticsearch Basics: Logical Concepts
2m 4s
Term Frequency/Inverse Document Frequency (TF/IDF)
3m 53s
Using Elasticsearch
4m 5s
How Elasticsearch Scales
7m 33s
Quiz: Elasticsearch Concepts and Architecture
4m 14s
Section 1 Wrap-Up
30s
Section 2 Introduction
37s
Connecting to Your Cluster
9m 21s
Introducing the MovieLens Dataset
4m 0s
Analyzers
8m 32s
Import a Single Movie through JSON/REST API
10m 13s
Inserting Many Movies at Once with Bulk API
5m 47s
Updating Data in Elasticsearch
6m 18s
Deleting Data in Elasticsearch
2m 21s
(Exercise) Inserting, Updating, and Deleting a Movie
4m 21s
Dealing with Concurrency
10m 29s
Using Analyzers and Tokenizers
10m 56s
Data Modeling and Parent/Child Relationships - Part 1
5m 30s
Data Modeling and Parent/Child Relationships - Part 2
7m 3s
Flattened Datatype
13m 55s
Dealing with Mapping Extensions
13m 32s
Section 2 Wrap-Up
23s
Section 3 Introduction
30s
Query Lite Interface
8m 14s
JSON Search In-Depth
10m 22s
Phrase Matching
6m 31s
(Exercise) Querying in Different Ways
4m 34s
Pagination
6m 26s
Sorting
8m 3s
More with Filters
3m 43s
(Exercise) Using Filters
2m 49s
Fuzzy Queries
6m 14s
Partial Matching
5m 39s
Query-Time Search-As-You-Type
4m 16s
N-Grams - Part 1
5m 22s
N-Grams - Part 2
8m 9s
"Search-As-You-Type" Field Type
10m 39s
Section 3 Wrap-Up
21s
Section 4 Introduction
50s
Importing Data with a Script
8m 20s
Importing Data with Client Libraries
9m 20s
(Exercise) Importing Data with a Script
4m 47s
Introducing Logstash
4m 55s
Installing Logstash
8m 24s
Running Logstash
6m 4s
Logstash and MySQL - Part 1
8m 30s
Logstash and MySQL - Part 2
7m 6s
Importing CSV Data with Logstash
14m 8s
Importing JSON Data with Logstash
20m 36s
Logstash and S3
8m 20s
Parsing and Filtering with Grok
14m 50s
Logstash Grok Examples for Common Log Formats
29m 15s
Logstash Input Plug-Ins - Part 1: Heartbeat
3m 41s
Logstash Input Plug-Ins - Part 2: Generator Input and Dead Letter Queue
11m 53s
Logstash Input Plug-Ins - Part 3: HTTP Poller
7m 54s
Logstash Input Plug-Ins - Part 4: Twitter
8m 57s
Syslog with Logstash Deep Dive
13m 27s
Elasticsearch and Kafka - Part 1
7m 5s
Elasticsearch and Kafka - Part 2
5m 55s
Elasticsearch and Apache Spark - Part 1
9m 22s
Elasticsearch and Apache Spark - Part 2
6m 51s
(Exercise) Importing Data with Spark
10m 47s
Using Elasticsearch as a Vector Database with Embeddings and Dense_Vector
23m 43s
Section 4 Wrap-Up
37s
Section 5 Introduction
59s
Aggregations, Buckets, and Metrics
10m 22s
Histograms
7m 48s
Time Series
6m 7s
(Exercise) Generating Histogram Data
4m 35s
Nested Aggregations - Part 1
6m 9s
Nested Aggregations - Part 2
8m 49s
Section 5 Wrap-Up
23s
Section 6 Introduction
21s
Installing Kibana
5m 11s
Playing with Kibana
13m 52s
(Exercise) Exploring Data with Kibana
3m 42s
Kibana Lens
16m 15s
Kibana Management
9m 54s
Elasticsearch SQL
6m 58s
Using the Kibana Canvas
23m 44s
Elasticsearch and Apache Hadoop
30m 7s
Section 6 Wrap-Up
21s
Section 7 Introduction
32s
Data Frame Transforms
14m 10s
FileBeat and the Elastic Stack Architecture
7m 39s
X-Pack Security
3m 16s
Installing FileBeat
6m 15s
Analyzing Logs with Kibana Dashboards
11m 17s
(Exercise) Log Analysis with Kibana
4m 45s
Section 7 Wrap-Up
31s
Section 8 Introduction
39s
Choosing the Right Number of Shards
5m 15s
Adding Indices as a Scaling Strategy
4m 4s
Index Alias Rotation
3m 59s
Index Lifecycle Management
2m 18s
Choosing Your Cluster's Hardware
3m 22s
Heap Sizing
3m 20s
Monitoring
8m 44s
Troubleshooting Common Issues
40m 29s
Failover in Action - Part 1
10m 51s
Index Design Changes
22m 5s
Snapshots
9m 57s
Snapshots Lifecycle Management
26m 16s
Rolling Restarts
3m 18s
Uptime Monitoring with Heartbeat
18m 10s
Section 8 Wrap-Up
29s
Section 9 Introduction
58s
Amazon Elasticsearch Service - Part 1
9m 31s
Amazon Elasticsearch Service - Part 2
6m 20s
The Elastic Cloud
11m 10s
Section 9 Wrap-Up
11s
Wrapping Up
4m 4s

Content preview from Elasticsearch 9 and the Elastic Stack

Using Elasticsearch as a Vector Database with Embeddings and Dense_Vector

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Publisher Resources

ISBN: 9781788995122Supplemental Content

Elasticsearch 9 and the Elastic Stack

with Frank Kane

Chapter 1 : Installing and Understanding Elasticsearch

Chapter 2 : Mapping and Indexing Data

Chapter 3 : Searching with Elasticsearch

Chapter 4 : Importing Data into Your Index - Big or Small

Chapter 5 : Using Aggregation

Chapter 6 : Using Kibana

Chapter 7 : Analyzing Log Data with the Elastic Stack

Chapter 8 : Elasticsearch Operations

Chapter 9 : Elasticsearch in the Cloud

Chapter 10 : You Made It!

Content preview from Elasticsearch 9 and the Elastic Stack

Using Elasticsearch as a Vector Database with Embeddings and Dense_Vector

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.