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Премиум
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    Udemy 101: Getting the Most From This Course
  • Урок 2. 00:00:46
    Section 1 Intro
  • Урок 3. 00:17:45
    Installing Elasticsearch [Step by Step]
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    Elasticsearch Overview
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    Intro to HTTP and RESTful API's
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    Elasticsearch Basics: Logical Concepts
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    Term Frequency / Inverse Document Frequency (TF/IDF)
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    Using Elasticsearch
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    What's New in Elasticsearch 7
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    How Elasticsearch Scales
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    Quiz: Elasticsearch Concepts and Architecture
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    Section 1 Wrapup
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    Section 2 Intro
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    Connecting to your Cluster
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    Introducing the MovieLens Data Set
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    Analyzers
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    Import a Single Movie via JSON / REST
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    Insert Many Movies at Once with the Bulk API
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    Updating Data in Elasticsearch
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    Deleting Data in Elasticsearch
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    [Exercise] Insert, Update and Delete a Movie
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    Dealing with Concurrency
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    Using Analyzers and Tokenizers
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    Data Modeling and Parent/Child Relationships, Part 1
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    Data Modeling and Parent/Child Relationships, Part 2
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    Flattened Datatype
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    Dealing with Mapping Exceptions
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    Section 2 Wrapup
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    Section 3 Intro
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    "Query Lite" interface
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    JSON Search In-Depth
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    Phrase Matching
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    [Exercise] Querying in Different Ways
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    Pagination
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    Sorting
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    More with Filters
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    [Exercise] Using Filters
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    Fuzzy Queries
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    Partial Matching
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    Query-time Search As You Type
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    N-Grams, Part 1
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    N-Grams, Part 2
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    "Search as you Type" Field Type
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    Section 3 Wrapup
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    Section 4 Intro
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    Importing Data with a Script
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    Importing with Client Libraries
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    [Exercise] Importing with a Script
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    Introducing Logstash
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    Installing Logstash
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    Running Logstash
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    Logstash and MySQL, Part 1
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    Logstash and MySQL, Part 2
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    Importing CSV Data with Logstash
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    Importing JSON Data with Logstash
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    Logstash and S3
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    Parsing and Filtering Logstash with Grok
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    Logstash Grok Examples for Common Log Formats
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    Logstash Input Plugins, Part 1: Heartbeat
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    Logstash Input Plugins, Part 2: Generator Input and Dead Letter Queue
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    Logstash Input Plugins, Part 3: HTTP Poller
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    Logstash Input Plugins, Part 4: Twitter
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    Syslog with Logstash Deep Dive
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    Elasticsearch and Apache Hadoop
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    Elasticsearch and Kafka, Part 1
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    Elasticsearch and Kafka, Part 2
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    Elasticsearch and Apache Spark, Part 1
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    Elasticsearch and Apache Spark, Part 2
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    [Exercise] Importing Data with Spark
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    Section 4 Wrapup
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    Section 5 Intro
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    Aggregations, Buckets, and Metrics
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    Histograms
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    Time Series
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    [Exercise] Generating Histogram Data
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    Nested Aggregations, Part 1
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    Nested Aggregations, Part 2
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    Section 5 Wrapup
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    Section 6 Intro
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    Installing Kibana
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    Playing with Kibana
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    [Exercise] Exploring Data with Kibana
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    Kibana Lens
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    Kibana Management
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    Elasticsearch SQL
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    Using Kibana Canvas
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    Section 6 Wrapup
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    Section 7 Intro
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    Data Frame Transforms
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    FileBeat and the Elastic Stack Architecture
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    X-Pack Security
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    Installing FileBeat
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    Analyzing Logs with Kibana Dashboards
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    [Exercise] Log analysis with Kibana
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    Section 7 Wrapup
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    Section 8 Intro
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    Choosing the Right Number of Shards
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    Adding Indices as a Scaling Strategy
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    Index Alias Rotation
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    Index Lifecycle Management
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    Choosing your Cluster's Hardware
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    Heap Sizing
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    Monitoring
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    Troubleshooting Common Issues
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    Failover in Action, Part 1
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    Failover in Action, Part 2
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    Index Design Changes (Grouping, Splitting, and Shrinking Indices)
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    Snapshots
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    Snapshot Lifecycle Management
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    Rolling Restarts
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    Search Profiling
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    Uptime Monitoring with Heartbeat
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    Section 8 Wrapup
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    Section 9 Intro
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    Amazon Elasticsearch Service, Part 1
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    Amazon Elasticsearch Service, Part 2
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    The Elastic Cloud
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    Section 9 Wrapup
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    Introducing Elastic Cloud on Kubernetes (ECK), and setting up our cluster
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    Setting up Elasticsearch and Kibana on Kubernetes, and installing plugins
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    Using ECK Persistent Volumes and Setting Up a Multi-Node Elasticsearch Cluster
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    Wrapping Up