
Online or onsite, instructor-led live Search training courses demonstrate through interactive discussion and hands-on practice how to use Search in your applications.
Search training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Search training can be carried out locally on customer premises in India or in NobleProg corporate training centers in India.
NobleProg -- Your Local Training Provider
Testimonials
Jose is a great person to deal with, very knowledgable
Keith Thoms - Shared Services Canada
Course: Apache Solr - Full-Text Search Server
The way we did the practical exercises and understand the actual scenario.
Dhruv Prajapati
Course: Apache Solr - Full-Text Search Server
He has patient about the questions asked by students. He has knowledge to answer the questions.
Ratnakara Pesaladinne
Course: Apache Solr - Full-Text Search Server
very to the point and hands on. No "powerpoint-training" but real scenarios and demos
Michael Sperber - WUR/ Computrain
Course: Solr for Developers
Knowledgeful trainer, able to answer all of our questions, and having practical project knowledge - not only theory.
SAP
Course: Solr for Developers
Industry problems and solutions. Practice knowledge.
Wojciech Walczyszyn - SAP
Course: Solr for Developers
It was broad, it was precise and nicely explained
Wojciech Drzewiecki - SAP
Course: Solr for Developers
His real like experience with the subject is amazing
SAP
Course: Solr for Developers
every question we had, he explained it with great details. i also liked the facts that Fulvio gets excited when there is an interaction.
Solvinity B.V.
Course: SolrCloud
The demo of search data
Kenneth Wong - Hospital Authority
Course: Implementation and Administration of Elasticsearch
He is very knowledgeable and could answer all the questions
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
The trainer's openness to questions and willingness to help/answer/explain.
Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
I liked that we got a general overview of elastic and learned tons of things that could be applied in current project the first day. I also liked that we went through current project code with a code review and mention improvements or/and stuff to think about or take up for discussion in the project on the second day. I like that the training gave me a good base to continue delve into elastic search.
Mattias Hansson - Chalmers Tekniska Högskola AB
Course: Elasticsearch for Developers
Trainer was very open minded about questions and tried to answer as many as possible.
Quidco
Course: Elasticsearch for Developers
The content relevnt and to the point
Qiniso Mdletshe - Quidco
Course: Elasticsearch for Developers
Relaxed style. Help with the issues we were having with current setup.
Quidco
Course: Elasticsearch for Developers
Doing the exercises. I really enjoyed the practicals.
Warren Stephen - Quidco
Course: Elasticsearch for Developers
Marcin knew exactly what he talking about and had proper hands on in-depth experience with the tools. He had answers to all our questions and made some really strong recommendations that we could start working towards with future projects and uses.
Conor Glasman - Quidco
Course: Elasticsearch for Developers
I thought the training was very thorough and while we covered a lot of material, Martin made ample time for questions and gave good focus to each individual and their different requirements.
Jeán Thysse - Quidco
Course: Elasticsearch for Developers
Using the Elasticsearch tool
BMW
Course: Kibana: Essentials
The traininer is a subject matter expert.
BMW
Course: Kibana: Essentials
Got to know new features in OS which I wasn't aware before.
Dhivyalakshmi Ponnusamy - Mercedes-Benz AG
Course: Search and Analytics with Amazon OpenSearch
Search Subcategories in India
Search Course Outlines in India
- Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
- Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
- Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
- Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
- Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.
- Install and configure Carrot2
- Post-process (cluster, tune, etc.) data generated by third-part search tools such as Bing, ElasticSearch and Solr (Lucene)
- Integrate Carrot2 into Java and non-Java applications
- Expose Carrot2 clustering as a remote service
- Developers
- System Administrators
- Part lecture, part discussion, exercises and heavy hands-on practice
- Write complex search patterns using character sets.
- Apply regular expression techniques to any regex engine like PHP, Python, etc.
- Script automation into a system process using extended regular expressions.
- Understand SolCloud's features and how they compare to those of conventional master-slave clusters
- Configure a SolCloud centralized cluster
- Automate processes such as communicating with shards, adding documents to the shards, etc.
- Use Zookeeper in conjunction with SolrCloud to further automate processes
- Use the interface to manage error reporting
- Load balance a SolrCloud installation
- Configure SolrCloud for continuous processing and fail-over
- Solr Developers
- Project Managers
- System Administrators
- Search Analysts
- Part lecture, part discussion, exercises and heavy hands-on practice
- Tune and scale Solr and SolrCloud.
- Streamline monitor log files.
- Integrate index and query time plugins.
- Create optimized clusters that handle thousands of queries per second.
- Configure Sphinx as a stand-alone server or storage engine (SphinxSE) using MySQL.
- Set up Sphinx to connect to either a database or an application.
- Use Sphinx's "fixed schema" as well as JSON attributes to map and filter search data
- System administrators
- DevOps
- Developers
- Part lecture, part discussion, exercises and heavy hands-on practice
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