Instructor Led Live Online Training
Instructor Led Classroom Training
Customized and exclusive training based on your requirement
Up-skill your team by training them on ElasticSearch
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
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!
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?
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.
●Laptop/Desktop with internet connection
●8GB RAM System:
● Quad Core CPU
●50 GB Disk Space available
Base Operating System:
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/