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ElasticSearch
Rated 4.5/5 based on 746 Votes customer reviews

Elastic Search Training

  • 24 hours of Instructor led live online classes
  • Intensive, hands on sessions for a thorough grasp of concepts
  • Training by industry experts
  • Learn the use of Elasticsearch to perform huge computations within milliseconds
  • Learn from the comfort of your home
100% Moneyback Guarantee
Any Questions? Contact Us

Online Classroom

Instructor Led Live Online Training
USD 1299 USD 1099 Select Date & Enroll

One to One Training

1-on-1, Mentor Led and Live Sessions
USD 1999

Team / Corporate Training

Description:

With jobs that require processing speeds of less than nano seconds 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 instructors 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. 

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 course right for you?

ElasticSearch course 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?

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

Highlights

Instructor Led Online Classes

Live interactive training from expert faculty, access the class from anywhere.

Learn by doing

Cement your learning through hands-on assignments where you will be mentored.

Flexible Schedule

Convenient weekday and weekend batches, making it easy to attend.

Money Back Guarantee


Not happy? Opt out within one day, and get a refund!

Your Satisfaction, Assured


Get a chance to attend any other live batch of the same course for free.

Lifetime Access

Get lifetime access to your class recording to refresh your learning at any time in the future.

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

faq

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/

Corporates who have up-skilled their teams