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ElasticSearch Rated 4.5/5 based on 746 customer reviews

Elastic Search Training in San Diego-CA, United States

Learn how to easily manage your clusters using ElasticSearch including text analysis, mappings, queries and filters, document modelling and much more.

  • 24 hours of Instructor-led training
  • Beginner to Advanced level
  • Immersive hands-on learning
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Modes of Delivery

Key Features

24 hours of Instructor-led training sessions
Intensive hands-on classes
Grasp thorough working knowledge of the concepts of Elasticsearch
Understand advanced concepts of text analysis, mappings, queries and filters, document modelling and much more
Learn to use full text search, indexes, and mapping features of Elasticsearch
Our Elastic Search experts will guide students in implementing the technology in future projects

Description

With jobs that require processing speeds of less than nanoseconds down time on huge amounts of data, developers turn to Elasticsearch, the open-source, broadly-distributable, readily-scalable, enterprise-grade search engine that is fast gaining acceptance as a reliable and sturdy search engine application. By adopting Elasticsearch course you will learn how to easily manage your clusters, ensure automatic node recovery, provide full security to your networks and perform data analytics.

We bring you a comprehensive course on Elasticsearch that will help you grasp all the fundamentals of this search engine. Learn from expert trainers about text analysis, mappings, queries and filters, document modelling and much more. Our workshop focuses on practical understanding and uses a hands on approach to give you a thorough working knowledge of the concepts of Elasticsearch and how it is used to support real time indexing and full text search. Candidates can register either for classroom or e-learning classes depending on their convenience, as our academy offers both at affordable costs.

Here’s what you will learn!

  • Leverage Elasticsearch to analyse, visualise and search data
  • How Elasticsearch uses queries and filters. Learn about querying best practices
  • The use of the full text search, indexes, and mapping features of Elasticsearch
  • The installation and deployment of Elasticsearch

Is this Elasticsearch certification right for you?

ElasticSearch training is targeted for aspiring DBA’s, experienced Big Data professionals and enthusiasts alike who are already using SQL/NOSQL datastore, or intend to use it to for the benefits it brings, with dynamic schema capabilities and extreme scalability.

What do you need to be familiar with?

  • Basics of linux/unix system concepts
  • Familiarity with Command Line Interface (CLI)
  • Familiarity with a Text Editor
  • Familiarity with RDBMS concepts

Curriculum

  • Topology and Clusters
  • CRUD
  • Index, Update, Re-index, and Delete documents
  • Bulk Operations
  • Lab
  • Module: Text Analysis
  • Analyzers - Tokenizers and Filters
  • Character Filters
  • Testing Analyzers
  • Built-In Analyzers
  • Synonym Handling
  • Lab
  • CRUD and relationship to documents/indices
  • Data Types
  • Dynamic Field Mappings
  • Index Templates
  • Lab
  • Distributed Search Fundamentals
  • Query DSL Deep Dive
  • Query Advice and Best Practices
  • Lab
  • Terms, Phrase, Completion, and Context Suggestors
  • Best Practices
  • Lab
  • Module: Aggregations
  • Fundamentals
  • Deep dive of each aggregation
  • Lab
  • Nested Objects and Documents
  • Impact of document structure on search
  • Relevancy and Scoring
  • Fundamentals
  • Boost and Function Lab
  • Percolator and Notifications
  • Client Libraries and Testing
  • Case Studies

Frequently Asked Questions

The advantage of Big Data lies in the accurate analysis of huge amounts of data at high speeds. The search engine used should have the capacity to scan millions of records in milliseconds and help in recording, accessing, analyzing and processing the data. ElasticSearch is an open source tool developed with Java. It is a Lucene-based, scalable, full-text search engine, and a data analysis tool. Its real-time and distributed nature along with its flexibility and robustness have made it very popular. Data analytics is a trending profession right now and those who want to get into this field must learn the use of Elasticsearch for content search, data analysis, and queries in projects.

After completing our course, you will be able to:

·         Understand why Elasticsearch is so popular

·         Use it for bulk operations of data processing

·         Use the queries and filters and learn about their best practices

·         Understand the impact of document structure on search

·         Understand client libraries and testing, percolator and notifications

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will use Elasticsearch and learn to perform data analysis with full support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Your classes will be held online. All you need is a windows computer with good internet connection to attend your classes online. A headset with microphone is recommended.

You may also attend these classes from your smart phone or tablet.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.

Aspiring DBA’s, experienced Big Data professionals and enthusiasts alike who are already using SQL/NOSQL datastore, or intend to use it to for the benefits it brings, with dynamic schema capabilities and extreme scalability will benefit from this training.

System Requirements

 Hardware

●Laptop/Desktop with internet connection

●8GB RAM System:

● Quad Core CPU

●50 GB Disk Space available

 Software

Base Operating System:

Windows/Linux/OSX/mysysgit

Software Required:

1. Git for Windows (on windows systems)

2. Vagrant (vagrantup.com)

3. VirtualBox (https://www.virtualbox.org/wiki/Downloads)

4. Sublime editor from http://www.sublimetext.com/

ElasticSearch Course in San Diego-CA

ElasticSearch For Developers

ElasticSearch training in San Diego by Zoolearn Academy offers a hands-on immersive course on the open source software. Students will learn the potential of the software with respect to managing and sorting Big Data. Search engines that are dedicated to big data should have a few key features such as the ability to scan and process millions of records in a matter of nanoseconds. It should also be able to process, analyse, and assess the data.

Elastic Search Benefits

Elastic Search has many features that have made it one of the most popular search engines when it comes to big data. It uses distributed inverted indices to find the best matches even from very large data sets. ElasticSearch offers REST-based APIs which are simple, an easy HTTP interface, and uses schema-free JSON documents which make it easy to index, search and query your data.

The Zoolearn Academy ElasticSearch Approach

The ElasticSearch course in San Diego is spread over six modules that provide an in-depth look at the different aspects of working with the software. The different applications of ElasticSearch and the different functions and abilities of the software are discussed by the experienced mentors.

The ElasticSearch training in San Diego gives students an introduction to mapping. Participants will learn about CRUD, data types, dynamic field mappings, and index templates. The ElasticSearch course in San Diego teaches participants how to formulate their own queries using a JSON syntax. Students will be taught how to make simple queries and at the end of the module, they will know how to make compound queries as well.

Other aspects of this course cover suggestions and document modelling. As you would’ve figured out, this course is suited for those who are on their way to becoming a Data Base Administrator or DBA and big data analysts.

Real Time Project

Students will have to use ElasticSearch to perform data analysts on a project which will be reviewed by the instructors as well as industry experts after which the students of the ElasticSearch certification in San Diego will be awarded a course completion certificate.

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