Learn Elasticsearch 5 and 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. 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.

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The outline of this course is mentioned below:

Overview:

• Introduction and Installing Elasticsearch
• Elasticsearch Overview
• Using Elasticsearch
• Elasticsearch Architecture
• Quiz

Mapping and Indexing Data:

• Connecting to your Cluster
• Getting to Know the Movielens Data Set
• Create a Mapping for MovieLens
• Import a Single Movie via JSON / REST
• Insert Many Movies at Once
• Updating Data in Elasticsearch
• Deleting Data in Elasticsearch
• 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 vs Phrase Search
• Search for New Star Wars Films Two Different Ways
• Pagination
• Sorting
• Using Filters
• Search for Science Fiction Movies Before 1960
• Fuzzy Queries
• Partial Matching
• N-Grams and Search as You Type

Importing Data Into Your Index - Big or Small:

• Importing Data from Scripts
• 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
• Import Movie Ratings from Spark to Elasticsearch

Aggregation:

• Buckets and Metrics
• Histograms
• Aggregating Time Series Data
• When Did my Site Go Down
• Nested Aggregations
• 6.Kibana Usage
• Installing Kibana
• Analyzing Shakespeare with Kibana
• 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
• 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
• Integrating Amazon ES with Logstash
• Using Elastic Cloud

Next Steps:

• I Made It! Now What?

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