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ElasticSearch
Rated 4.5/5 based on 746 Votes customer reviews

Elastic Search Training in San Francisco-CA, United States

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

Online & Classroom | Latest & Accredited Courseware | 100+ hrs of assignments
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Modes of Delivery

Key Features

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

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

 

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 Francisco-CA

Introduction

San Francisco is the place where the United Nations was born. It is known for its commerce, finance and culture while being the commercial centre of Northern California. Referred to as the city-country, it is a very famous tourist destination.

About the course in the city

Zeolearn Academy has come up with the ElasticSearch training in San Francisco. It aims at helping interested participants in mastering the art of using the modern day search engine, ElasticSearch, which works on the lines of Lucene. The Lucene helps in information retrieval around a software library. With speed being the key element in every aspect, more and more software and tools are being developed to aid in better quality outputs in shorter spans of time. Thus, the program is so designed to implement ElasticSearch for quick data retrieval.

Enrol in the ElasticSearch certification in San Francisco to make the most of the ElasticSearch. Learn how to put it to use and deal with the well-known HTTP web interface. As complex as it may sound, the course ensures enough practice sessions and classes guided by a tutor in order to get the basics in place. It offers an insight into using Rest APIs, and storing and accessing data efficiently. Additionally, it renders the basics of nodes, indexing and clusters, while understanding the concept or NRT or near real time. By the end of the course, you will be able to search, analyse and index data in a better way and understand how to implement ElasticSearch in required processes.

Here is what you learn:

Our ElasticSearch training in San Francisco offers

  • An in-depth understanding of search engines
  • Understanding of the basics of ElasticSearch and data storage and retrieval
  • Aid in building efficient search applications

Objective of the course:

  • To understand the functioning of ElasticSearch
  • To simplify complex processes in analysing data and information
  • To render expertise on using ElasticSearch as the go-to search engine 
  • To guide you through the components of ElasticSearch

Highlights of the course:

  • Assignments and training sessions
  • Sound knowledge on the working of ElasticSearch
  • Flexi-time regarding schedules and batches 
  • Lifetime access to class records for reference
  • Option of course withdrawal in a day, with refund

Is the course right for you?

The course is designed for people who are into building search applications, running businesses and online models and those who need to have large scale analytics in place.

Prerequisites

The ElasticSearch certification in San Francisco does not need any specific qualification. It is, however, good to be equipped with the basics of search engines and have a sound knowledge of using computers.

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