Solr Training
Participants in Solr Training get the ability to install, set up, and administer Apache Solr, an open-source search engine. Indexing, querying, faceting, and integrating Solr with other applications are among the fundamental ideas covered in the program. Participants learn how to manage extensive data searches, enhance search efficiency, and personalize search features.
- 10+ Courses
- 30+ Projects
- 400 Hours
Solr Training is suitable for the following target audiences:
Developers and Software Engineers: Perfect for developers who want to use Solr to create and deploy search-based apps that enable scalable and effective search solutions.
Data scientists and engineers: Ideal for anyone who work with big datasets and wish to understand how to index and retrieve data using Solr’s search features effectively.
IT Administrators: Designed for IT specialists in charge of setting up and managing Solr servers to guarantee good performance, security, and availability.
System Architects: This is ideal for architects who must use Solr to develop and deploy scalable, reliable search solutions in a range of business settings.
Technical Consultants: Designed for consultants that offer search engine optimization services and require knowledge of Solr to assist customers in various industries better.
Solr Developer: Creating and putting into use search functions for e-commerce platforms, content management systems, and web applications.
Search Engineer: Creating and refining search infrastructure to manage massive amounts of data while guaranteeing quick and precise information retrieval.
Data Engineer: Working on Solr-related projects such as data integration, indexing, and pipelines.
System Administrator (Solr): The system administrator (Solr) is responsible for Managing Solr clusters, maintaining system stability, and tweaking and troubleshooting performance.
Technical Consultant (Search Solutions): Offering knowledgeable advice to customers on setting up and enhancing Solr-based search solutions.
Professionals with Solr expertise are in high demand in the technology, e-commerce, media, and enterprise sectors in the USA and Canada. These companies offer competitive pay and chances for career advancement in the rapidly growing fields of big data management and search technologies.
- Agile Overview
- Agile Manifesto & Principles
- Agile vs. Traditional (Waterfall) Approaches
- Scrum, Kanban, XP – overview of frameworks
- Role of a Business Analyst in Agile BA responsibilities in Agile teams
- Collaboration with Product Owner, Scrum Master, Dev Team
- Scrum Deep Dive
- Roles, Events, Artifacts
- Product Backlog, Sprint Planning, Review, and Retrospective
- Kanban Basics (WIP limits, continuous flow)
- Scaling Agile (SAFe, LeSS, Nexus) – intro level
- Tools included : Jira / Trello setup basics
- Gathering Requirements in Agile
- Just-in-time requirements
- Collaborative discovery
- User Stories & Acceptance Criteria
- INVEST criteria and Definition of Ready / Done
- Story Mapping & Backlog Grooming
- Jira / Confluence Training
- Backlog creation, story linking, boards
- Wireframing & Prototyping
- Tools: Balsamiq / Figma / Draw.io
- Facilitation Techniques
- Agile workshops (Story Mapping, Impact Mapping)
- Agile Planning Levels (Roadmap, Release, Sprint planning)
- Estimation Techniques (Planning Poker, T-Shirt sizing)
- Prioritization Methods (MoSCoW, Kano Model, WSJF)
- Performance Metrics (Velocity, Burnup/Burndown charts , Lead/Cycle Time)
- BA Contribution Metrics (Requirements churn, value tracking)
- How to create and maintain Dashboards in Jira
- Case Study: Analyse sprint reports & suggest improvements
- Stakeholder Management
- Effective Communication
- Facilitation & Conflict Resolution
- Agile Project Simulation End-to-end product backlog creation
- Resume Building for Agile BA
- Mock Interviews & Job Placement
This course is ideal for aspiring Business Analysts, working professionals transitioning to Agile roles, Product Owners, Project Managers, and anyone interested in Agile practices and business analysis.
No technical background is required. The course is designed to help non-technical individuals understand Agile concepts and tools in a practical, easy-to-follow manner.
The duration for Agile Business Analyst training is 2 months (8 weeks), with sessions held 2 times per week (either during week or weekends), including theory, hands-on practice and project work.
Yes, upon successful completion, you’ll receive a Certificate of Completion from Checkmate IT Tech. We also guide you on pursuing global certifications like IIBA-AAC and ICAgile-BA.
Absolutely! The course includes hands-on exercises, case studies, and a capstone project to simulate real Agile environments.
We offer online training classes to promote easy access to all candidates. Recordings are also made available for revision or if you miss a session.
Yes. We provide resume reviews, mock interviews, LinkedIn optimization, and guidance on job portals to help boost your chances in the job market.
You can enroll via our website or contact our support team directly via email or phone. We’ll guide you through the quick and easy registration process.
https://checkmateittech.com/
Email info@checkmateittech.com OR Call Us +1-347-4082054
- Submit Form
Job opportunities in USA and Canada
Solr Developer: Creating and putting into use search functions for e-commerce platforms, content management systems, and web applications.
Search Engineer: Creating and refining search infrastructure to manage massive amounts of data while guaranteeing quick and precise information retrieval.
Data Engineer: Working on Solr-related projects such as data integration, indexing, and pipelines.
System Administrator (Solr): The system administrator (Solr) is responsible for Managing Solr clusters, maintaining system stability, and tweaking and troubleshooting performance.
Technical Consultant (Search Solutions): Offering knowledgeable advice to customers on setting up and enhancing Solr-based search solutions.
Professionals with Solr expertise are in high demand in the technology, e-commerce, media, and enterprise sectors in the USA and Canada. These companies offer competitive pay and chances for career advancement in the rapidly growing fields of big data management and search technologies.
