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See it. Do it. Learn it! Packed with 60 engaging lectures in 8 hours of video, this essential liveVideo course will add highly marketable Elasticsearch skills to your toolbox! Elasticsearch 6 and Elastic Stack teaches you how to set up and manage a search and analytics platform using Elasticsearch and Elastic Stack.I've been playing with and using the Elastic Stack for at least 4 years. This video course is by far the most informative, up-to-date and useful resource I've found.
Distributed by Manning Publications
This course was created independently by big data expert Frank Kane and is distributed by Manning through our exclusive liveVideo platform.
Table of Contents detailed table of contents
Installing and Understanding Elasticsearch
Introduction, and installing Elasticsearch
Elasticsearch overview
Using Elasticsearch
Elasticsearch architecture
Quiz: Elasticsearch concepts and architecture
Mapping and indexing data
Connecting to your cluster
Getting to know the Movielens Data Set
Create a mapping for Movielens
Hacking CURL
Import a single movie via JSON/REST
Insert many movies at once
Updating data in Elasticsearch
Deleting data in Elasticsearch
Exercise: insert, update, and delete a fictitious movie
Dealing with concurrency
Using analyzers and tokenizers
Data modeling with Elasticsearch
Searching with Elasticsearch
Using query-string search
Using JSON search
Full-text versus phrase search
Exercise: search for new Star Wars films two different ways
Pagination
Sorting
Using filters
Exercise: search for science fiction movies before 1960, sorted by title
Fuzzy queries
Partial matching
N-grams and search as you type
Importing data into your index
Importing data from scripts
Exercise: import movie tags into a new index with a python script
Logstash overview
Installing Logstash
Importing Apache access logs with Logstash
Importing data from MySQL using Logstash
Importing data from AWS S3 using Logstash
Integrating Kafka with Elasticsearch
Integrating Spark and Hadoop with Elasticsearch
Exercise: Import movie ratings from Spark to Elasticsearch
Aggregation
Buckets and metrics
Histograms
Aggregating time series data
Exercise: When did my site go down?
Nested aggregations
Using Kibana
Installing Kibana
Analyzing Shakespeare with Kibana
Exercise: Find the Shakespeare plays with the most lines
Analyzing log data with the Elastic Stack
The ELK Stack and Elastic Stack
Install, configure, and use Filebeat
Analyzing server logs with Kibana
Exercise: Narrow down the source of 404 errors
Elasticsearch operations
How many shards should I use?
Scaling with new indices
Choosing your hardware
Heap sizing
Monitoring with X-Pack
Practicing failover
Snapshots
Rolling Restarts
Elasticsearch in the cloud
Using Amazon Elasticsearch service
Using Elastic Cloud
You made it!
I made it! Now what?
About the subject
Elasticsearch is an industry standard open source search engine. Built on Apache Lucene, Elasticsearch is lightning-fast, secure, and easy to use! Combine Elasticsearch with the Logstash data processing pipeline and the Kibana data analytics dashboard, and you have the powerful Elastic Stack platform, a complete data storage and analysis platform.About the video
Elasticsearch 6 and Elastic Stack starts by showing you how to install Elasticsearch 6 on your PC and configure it on a cluster. From there, you’ll learn to bucket and analyze data using Elasticsearch and you’ll monitor your cluster’s health using X-Pack. You’ll set up search indices and query your data using common approaches like fuzzy searches, partial matches, search-as-you-type, and more. This amazing course teaches you to perform rolling restarts, scale up your cluster, and even spin up clusters in the cloud using Amazon Elasticsearch Service and the Elastic Cloud.With Frank Kane’s practical instruction, you’ll tackle the often-overlooked problem of importing data into an Elasticsearch index. You’ll delve into raw RESTful queries and scripts using Elasticsearch APIs, and you’ll see how Elasticsearch seamlessly integrates with other big data systems like Spark and Kafka. After you’ve mastered Elasticsearch basics, you’ll explore the Elastic Stack. You’ll experience the data processing power of Logstash and pick up data analytics techniques with the interactive Kibana visual dashboard! Every lesson has hands-on examples, so you’ll practice your new search and analysis skills as you go!
Prerequisites
For tech-minded individuals familiar with web services and REST. Some exposure to Linux and JSON-formatted data would also be beneficial.What you will learn
- Create search indices and mappings
- Search full-text and structured data in several different ways
- Integrate Elasticsearch with other systems including Spark and Kafka
- Aggregate structured data using buckets and metrics
- Import data into Elasticsearch using several different techniques
- Use Logstash and Kibana to import streaming log data
- Use Filebeats and the Elastic Stack to import streaming data at scale
- Manage operations on production Elasticsearch clusters
- Use cloud-based solutions including Amazon's Elasticsearch Service and Elastic Cloud
About the instructor
Frank Kane holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. He spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to millions of customers every day. Sundog Software, his own company specializing in virtual reality environment technology and teaching others about big data analysis, is his pride and joy.
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