Elasticsearch 7 and the Elastic Stack - In Depth & Hands On!
4.5 (1,832 ratings)
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Elasticsearch 7 and the Elastic Stack - In Depth & Hands On!

Search, analyze, and visualize big data on a cluster with Elasticsearch, Logstash, Beats, Kibana, and more.
Bestseller
4.5 (1,832 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
11,854 students enrolled
Last updated 5/2020
English
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This course includes
  • 13 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Install and configure Elasticsearch 7 on a cluster
  • Create search indices and mappings
  • Search full-text and structured data in several different ways
  • Import data into Elasticsearch using several different techniques
  • Integrate Elasticsearch with other systems, such as Spark, Kafka, relational databases, S3, and more
  • Aggregate structured data using buckets and metrics
  • Use Logstash and the "ELK stack" to import streaming log data into Elasticsearch
  • Use Filebeats and the Elastic Stack to import streaming data at scale
  • Analyze and visualize data in Elasticsearch using Kibana
  • Manage operations on production Elasticsearch clusters
  • Use cloud-based solutions including Amazon's Elasticsearch Service and Elastic Cloud
Requirements
  • You need access to a Windows, Mac, or Ubuntu PC with 20GB of free disk space
  • You should have some familiarity with web services and REST
  • Some familiarity with Linux will be helpful
  • Exposure to JSON-formatted data will help
Description

New for 2020! We've teamed up with Coralogix to co-produce the most comprehensive Elastic Stack course we've seen. Elasticsearch 7 is a powerful tool not only for powering search on big websites, but also for analyzing big data sets in a matter of milliseconds! It's an increasingly popular technology, and a valuable skill to have in today's job market. This course covers it all, from installation to operations, with over 100 lectures including 11 hours of video.

We'll cover setting up search indices on an Elasticsearch 7 cluster (if you need Elasticsearch 5 or 6 - we have other courses on that), and querying that data in many different ways. Fuzzy searches, partial matches, search-as-you-type, pagination, sorting - you name it. And it's not just theory, every lesson has hands-on examples where you'll practice each skill using a virtual machine running Elasticsearch on your own PC.

We'll explore what's new in Elasticsearch 7 - including index lifecycle management, the deprecation of types and type mappings, and a hands-on activity with Elasticsearch SQL. We've also added much more depth on managing security with the Elastic Stack, and how backpressure works with Beats.

We cover, in depth, the often-overlooked problem of importing data into an Elasticsearch index. Whether it's via raw RESTful queries, scripts using Elasticsearch API's, or integration with other "big data" systems like Spark and Kafka - you'll see many ways to get Elasticsearch started from large, existing data sets at scale. We'll also stream data into Elasticsearch using Logstash and Filebeat - commonly referred to as the "ELK Stack" (Elasticsearch / Logstash / Kibana) or the "Elastic Stack".

Elasticsearch isn't just for search anymore - it has powerful aggregation capabilities for structured data. We'll bucket and analyze data using Elasticsearch, and visualize it using the Elastic Stack's web UI, Kibana and Kibana Lens.

You'll learn how to manage operations on your Elastic Stack, using X-Pack to monitor your cluster's health, and how to perform operational tasks like scaling up your cluster, and doing rolling restarts. We'll also spin up Elasticsearch clusters in the cloud using Amazon Elasticsearch Service and the Elastic Cloud.

Elasticsearch is positioning itself to be a much faster alternative to Hadoop, Spark, and Flink for many common data analysis requirements. It's an important tool to understand, and it's easy to use! Dive in with me and I'll show you what it's all about.

Who this course is for:
  • Any technologist who wants to add Elasticsearch to their toolchest for searching and analyzing big data sets.
Course content
Expand all 112 lectures 12:55:30
+ Installing and Understanding Elasticsearch
12 lectures 01:04:22
Section 1 Intro
00:44

We'll talk about why Elasticsearch is important and what you can expect from this course. Then, we'll install a virtual Ubuntu machine right on your own desktop PC, install Elasticsearch on it, and search the complete works of William Shakespeare!

Preview 17:44

Let's look at the components of the Elastic Stack from a 30,000-foot level, and see how they all fit together.

Preview 05:44

Elasticsearch exposes a RESTful API, and we communicate with Elasticsearch using nothing but standard HTTP requests and responses. Let's cover the basics of how that works.

Intro to HTTP and RESTful API's
11:54
Term Frequency / Inverse Document Frequency (TF/IDF)
03:53
Using Elasticsearch
04:05
What's New in Elasticsearch 7
03:47
How Elasticsearch Scales
07:33
Quiz: Elasticsearch Concepts and Architecture
04:14
Section 1 Wrapup
00:30
+ Mapping and Indexing Data
16 lectures 01:50:47
Section 2 Intro
00:36
Connecting to your Cluster
07:08
Introducing the MovieLens Data Set
03:59
Analyzers
08:32
Import a Single Movie via JSON / REST
10:31
Insert Many Movies at Once with the Bulk API
05:34
Updating Data in Elasticsearch
06:33
Deleting Data in Elasticsearch
02:18
[Exercise] Insert, Update and Delete a Movie
04:18
Using Analyzers and Tokenizers
10:52
Data Modeling and Parent/Child Relationships, Part 1
05:29
Data Modeling and Parent/Child Relationships, Part 2
07:00
Dealing with Mapping Exceptions
13:18
Section 2 Wrapup
00:23
+ Searching with Elasticsearch
16 lectures 01:31:03
Section 3 Intro
00:29
"Query Lite" interface
08:10
JSON Search In-Depth
10:19
Phrase Matching
06:27
[Exercise] Querying in Different Ways
04:31
Pagination
06:23
Sorting
08:00
More with Filters
03:39
[Exercise] Using Filters
02:45
Fuzzy Queries
06:11
Partial Matching
05:35
Query-time Search As You Type
04:06
N-Grams, Part 2
08:11
Section 3 Wrapup
00:20
+ Importing Data into your Index - Big or Small
19 lectures 02:28:42
Section 4 Intro
00:50
Importing Data with a Script
08:22
Importing with Client Libraries
06:41
[Exercise] Importing with a Script
04:01
Installing Logstash
09:03
Logstash and MySQL, Part 1
08:00
Logstash and MySQL, Part 2
07:47
Importing CSV Data with Logstash
14:13
Importing JSON Data with Logstash
20:42
Logstash and S3
08:01
Parsing and Filtering Logstash with Grok
14:55
Elasticsearch and Kafka, Part 1
06:03
Elasticsearch and Kafka, Part 2
06:02
Elasticsearch and Apache Spark, Part 1
08:25
Elasticsearch and Apache Spark, Part 2
05:58
[Exercise] Importing Data with Spark
08:53
Section 4 Wrapup
00:36
+ Aggregation
9 lectures 01:01:30
Section 5 Intro
00:59
Aggregations, Buckets, and Metrics
10:19
Histograms
07:45
Time Series
06:08
[Exercise] Generating Histogram Data
04:27
Nested Aggregations, Part 2
08:45
Section 5 Wrapup
00:23
+ Using Kibana
7 lectures 44:18
Section 6 Intro
00:20
Installing Kibana
04:42
Playing with Kibana
10:12
[Exercise] Exploring Data with Kibana
03:25
Section 6 Wrapup
00:21
+ Analyzing Log Data with the Elastic Stack
7 lectures 33:29
Section 7 Intro
00:31
FileBeat and the Elastic Stack Architecture
07:38
X-Pack Security
03:16
Installing FileBeat
06:04
[Exercise] Log analysis with Kibana
05:31
Section 7 Wrapup
00:31
+ Elasticsearch Operations and SQL Support
19 lectures 03:12:29
Section 8 Intro
00:39
Choosing the Right Number of Shards
05:15
Index Alias Rotation
03:58
Index Lifecycle Management
02:15
Choosing your Cluster's Hardware
03:22
Heap Sizing
03:20
Monitoring
06:30
Elasticsearch SQL
09:01
Troubleshooting Common Issues
39:58
Failover in Action, Part 1
07:18
Failover in Action, Part 2
08:46
Index Design Changes (Grouping, Splitting, and Shrinking Indices)
22:05
Snapshots
09:57
Snapshot Lifecycle Management
26:10
Rolling Restarts
06:45
Search Profiling
11:55
Uptime Monitoring with Heartbeat
20:39
Section 8 Wrapup
00:29
+ Elasticsearch in the Cloud
5 lectures 24:00
Section 9 Intro
00:58
Amazon Elasticsearch Service, Part 2
05:32
The Elastic Cloud
09:54
Section 9 Wrapup
00:11
+ You Made It!
2 lectures 04:50
Wrapping Up
04:04
Bonus Lecture: More Courses to Explore!
00:46