Last updated 11/2017MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHzLanguage: English | Size: 461.49 MB | Duration: 4h 45m
Clamp the aspects of search solutions and gain knowledge on the node and cluster management facets of Elasticsearch What you'll learn Manage mapping, indices, and documents Execute a search with aggregation Create a REST and an ingest plugin Index data via Apache Spark Control cluster health and state via an API Use the task management and Hot thread API Manage repositories Requirements Basic understanding of JSON is needed. Prior knowledge on Elasticsearch is assumed. Description Elasticsearch is a popular search ee based on Lucene. It provides a distributed, multitenant-capable, full-text search ee with an HTTP web interface and schema-free JSON documents. Elasticsearch is a distributed, RESTful search and analytics ee capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected. So, if you're interested to create flexible and scalable search solutions using Elasticsearch and get knowledge of the node and cluster aspects, then go for this Learning Path. Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it. The highlights of this Learning Path are Learn to manage mapping, indices, and documents Use the task management and Hot thread API Let’s take a quick look at your learning journey. This Learning Path dives into the third-party integration aspect of Elasticsearch. It gives you a detailed coverage of how Elasticsearch can be integrated with popular languages such as Python, Java, and Scala, as well as shows you how Elasticsearch is integrated with third-party tools for efficient big data solutions. Further, you will learn practical recipes on the major operations such as searching, working with text, numeric and geo queries, perfog aggregations and scripting. Moving on you will dive into node and cluster management aspects of Elasticsearch. You will be acquainted with recipes and hands-on solutions to backing up and restoring your nodes and clusters in Elasticsearch, as well as working with user interfaces. By the end of this Learning Path, you will be able to integrate Elasticsearch with Java, Python, Scala and create flexible and scalable search solutions. Meet Your Expert We have combined the best works of the following esteemed author to ensure that your learning journey is smooth Alberto Paro is an eeer, project manager, and software developer. He currently works as freelance trainer/consultant on big data technologies and NoSQL solutions. He loves to study emeg solutions and applications mainly related to big data processing, NoSQL, natural language processing, and neural networks. He began programming in BASIC on a Sinclair Spectrum when he was eight years old, and to date, has collected a lot of experience using different operating systems, applications, and programming languages. Overview Section 1: Elasticsearch 5.x Solutions - Extending Elasticsearch Lecture 1 The Course Overview Lecture 2 Creating Clients Lecture 3 Managing Indices with the Native Client Lecture 4 Managing Mappings, Documents, and Bulk Actions Lecture 5 Building a Query Lecture 6 Executing Search Lecture 7 Creating a Client in Scala Lecture 8 Managing Indices Lecture 9 Managing Mappings Lecture 10 Managing Documents Lecture 11 Executing a Standard Search Lecture 12 Executing a Search with Aggregations Lecture 13 Creating a Client Lecture 14 Managing Indices Lecture 15 Managing Mappings Lecture 16 Managing Documents Lecture 17 Executing a Standard Search Lecture 18 Executing a Search with Aggregations Lecture 19 Creating a Plugin Lecture 20 Creating an Analyzer Plugin Lecture 21 Creating a REST Plugin Lecture 22 Creating a Cluster Action Lecture 23 Creating an Ingest Plugin Section 2: Elasticsearch 5.x Solutions - Mastering Elasticsearch Operations Lecture 24 The Course Overview Lecture 25 Searching, Sorting, and Highlighting Results Lecture 26 Scrolling and Returning Inner Hits Lecture 27 Suggesting Correct Query and Counting Matched Results Lecture 28 Query and Query Profiling Lecture 29 Deleting and Updating by Query Lecture 30 Matching All Documents and Using a Boolean Query Lecture 31 Using a Term and Prefix Query Lecture 32 Using wildcard, regexp, and Span Query Lecture 33 Using a Match and Query String Query Lecture 34 Using Range, Common Term, and IDs Query Lecture 35 Using the Function Score, Exist, and Template Query Lecture 36 Using the has_child Query Lecture 37 Using the has_parent Query Lecture 38 Using the geo_bounding_box Query Lecture 39 Using the geo_polygon Query Lecture 40 Using the geo_distance Query Lecture 41 Executing Stats and Terms Aggregation Lecture 42 Executing Range and Histogram Aggregations Lecture 43 Executing Filter Aggregations Lecture 44 Executing Global, Geo Distance, and Children Aggregation Lecture 45 Executing Nested, Top Hit, and Matrix Stats Aggregation Lecture 46 Executing the geo_bound and geo_centroid Aggregation Lecture 47 Painless Scripting Lecture 48 Installing Additional Scripts Plugins Section 3: Elasticsearch 5.x Solutions - Node and Cluster Management Lecture 49 The Course Overview Lecture 50 Controlling Cluster Health and State Via an API Lecture 51 Getting Nodes Information and Statistics Via API Lecture 52 Using the Task Management and the Hot thread API Lecture 53 Managing the Shard Allocation Lecture 54 Monitoring Snts and Clearing the Cache Lecture 55 Managing Repositories Lecture 56 Executing a Snapshot Lecture 57 Restoring a Snapshot Lecture 58 Reindexing from a Remote Cluster Lecture 59 Installing and Using Cerebro Lecture 60 Installing Kibana and X-Pack Lecture 61 Managing Kibana Dashboards Lecture 62 Monitoring with Kibana Lecture 63 Using Kibana dev-console Lecture 64 Visualizing Data with Kibana Lecture 65 Pipeline Definition Lecture 66 PUT, GET, and DELETE an Ingest Pipeline Lecture 67 Simulating an Ingest Pipeline Lecture 68 Built-in and Grok Processors Lecture 69 Using the Ingest Attachment and GeoIP Plugin If you are a developer who wants to get the most out of Elasticsearch for advanced search and analytics, then this Learning Path is for you. 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