Koenig Solutions Pvt. Ltd.

� Accelerate Low-Code Development with Copilot in Power Platform
(AI-Powered App Building, Automation & Digital Transformation at Scale)
� February 19 · 3 PM IST – Set Reminder �

Organizations worldwide are accelerating digital transformation—but traditional development approaches can’t keep up with the speed and flexibility modern businesses require. The Microsoft Power Platform, combined with Copilot, enables teams to build apps, automate workflows, and integrate AI-driven solutions faster than ever before—all with low-code tools accessible to everyone.

This session offers a practical, capability-focused introduction to Copilot in Power Platform, showing how AI enhances app development, boosts productivity, and streamlines end-to-end business solutions.

Led by Sania Mutreja, Senior Corporate Trainer, this session is ideal for professionals looking to modernize processes, automate work, and infuse AI into daily operations.

� What you’ll learn:

1. Accelerating Digital Transformation
How low-code development empowers organizations to innovate quickly.
The role of Power Apps, Power Automate, and Power Platform connectors in modernizing business workflows.
How Copilot removes complexity—turning natural language prompts into functional apps, flows, and logic.
Real-world transformation examples: onboarding automation, service apps, request management, and more.

2. Seamless Integration with AI
How Copilot enhances every stage of the development lifecycle:
• Generating app screens and data structures
• Writing formulas and expressions
• Creating workflow steps
• Suggesting automation logic
Copilot as an intelligent assistant that accelerates building, testing, and refining solutions.

3. Streamlining Business Solutions
Designing complete business solutions using low-code tools.
Integrating Dataverse, external connectors, and AI Builder for intelligent workflows.
How Copilot helps eliminate repetitive tasks and ensures faster solution delivery.
Best practices for building scalable, maintainable applications in Power Platform.

4. Real-World Examples
HR process automation
Ticketing & request management apps
Sales and operations dashboards
AI-assisted document processing and approvals
How organizations achieve agility and productivity gains with Copilot.

5. Live Demo & Hands-On Insights
See how a business app or workflow is created using simple natural language prompts.
Watch Copilot automatically generate screens, actions, and flows.

6. Live Q&A and Applied Guidance
Participants can ask questions on Copilot capabilities, solution design, AI integration, governance, or best practices.

� Who should attend?
Business users adopting low-code solutions
Power Apps and Power Automate beginners
IT teams modernizing internal workflows
Professionals exploring AI-enabled app development
Anyone looking to accelerate digital transformation with low-code + AI

Speaker:
Sania Mutreja
Senior Corporate Trainer | Koenig Solutions Pvt. Ltd.

� Follow & Learn More:
� Koenig Solutions: https://www.koenig-solutions.com
� LinkedIn: https://www.linkedin.com/company/koenig-solutions
� Facebook: https://www.facebook.com/koenigsolutions
� Instagram: https://www.instagram.com/koenigsolutions
� Twitter (X): https://x.com/KoenigSolutions
� Upcoming Webinars: https://www.koenig-solutions.com/upcoming-webinars

� If you want to build solutions faster, streamline business processes, and use AI as a development partner, this session will show you how Copilot empowers every creator in the Power Platform.
� Like | � Comment | � Subscribe for more expert-led Power Platform and AI productivity sessions.

� Reduce Reporting Delays with Power BI and Fabric Data Warehouse
(Accelerate Analytics with Unified Storage, Fast Loading & Seamless BI Integration)
� February 19 · 1 PM IST – Set Reminder �

Slow reporting cycles, scattered data sources, and complex refresh processes often derail analytics teams. Microsoft Fabric’s Data Warehouse, combined with the power of Power BI, delivers a unified, high-performance environment where data loading, modeling, and reporting happen seamlessly—eliminating delays and boosting organizational responsiveness.

This session provides a practical, end-to-end walkthrough of building fast, reliable analytics pipelines using Fabric Data Warehouse and Power BI.

Led by Rashmi Sharma, Corporate Trainer, this session is designed for BI professionals, data engineers, and analysts who want to modernize reporting workflows and achieve real-time analytics readiness.

� What you’ll learn:

1. Introduction to Microsoft Fabric Data Warehouse
Understanding the architecture of Fabric’s Warehouse.
Delta Lake-powered tables for reliability, performance, and governance.
Differences between Lakehouse and Warehouse—and when to use each.
How Fabric unifies compute, storage, and security under OneLake.

2. Data Loading & Transformation
How to ingest data into the Warehouse using:
• Pipelines
• Dataflow Gen2
• Notebooks (Spark)
Transforming raw data into analytics-ready tables.
Managing schema, partitions, and incremental loads.
Ensuring data quality through structured transformation flows.

3. Integration with Power BI
Connecting Power BI directly to Fabric Warehouse with high-speed connectivity.
Creating semantic models that power fast, consistent reporting.
Using DirectLake and Warehouse connectivity options.
How Fabric reduces refresh time and enables near real-time dashboards.

4. Demo / Hands-On Walkthrough
Live demonstration of:
✓ Creating a Warehouse
✓ Loading and transforming data
✓ Building a model
✓ Connecting to Power BI
✓ Designing a simple but fast interactive report
A complete workflow from raw data → clean model → visualization.

5. How Fabric Reduces Reporting Delays
Eliminating data duplication with OneLake.
Faster query ex*****on and better model performance.
Centralized governance and shared semantic layers.
Simplifying workflows for BI, engineering, and analytics teams.

6. Best Practices for Enterprise Reporting
Optimizing Warehouse tables for BI workloads.
Designing efficient Power BI data models.
Governance and workspace-level considerations.
Monitoring performance and automating refresh pipelines.

7. Live Q&A and Applied Guidance
Participants may ask about ingestion, modeling, performance tuning, or architectural choices.

� Who should attend?
Power BI developers & analysts
Data engineers & architects
Fabric practitioners
BI managers reducing reporting bottlenecks
Anyone modernizing a legacy analytics stack

Speaker:
Rashmi Sharma
Corporate Trainer | Koenig Solutions Pvt. Ltd.

� Follow & Learn More:
� Koenig Solutions: https://www.koenig-solutions.com
� LinkedIn: https://www.linkedin.com/company/koenig-solutions
� Facebook: https://www.facebook.com/koenigsolutions
� Instagram: https://www.instagram.com/koenigsolutions
� Twitter (X): https://x.com/KoenigSolutions
� Upcoming Webinars: https://www.koenig-solutions.com/upcoming-webinars

� Ready to eliminate delays and empower faster decisions? This session shows you how Fabric Data Warehouse + Power BI creates a streamlined, high-performance reporting ecosystem.
� Like | � Comment | � Subscribe for more expert-led Microsoft Fabric and BI sessions.

� Write Cleaner and More Powerful SQL Using CTEs and Derived Tables
(Master Advanced Query Techniques for Real-World Data Challenges)
� February 17 · 3 PM IST – Set Reminder �

As datasets grow larger and business logic becomes more complex, writing clean, maintainable SQL becomes essential. Advanced table structures like Common Table Expressions (CTEs), derived tables, and temporal tables help simplify queries, improve readability, and enable powerful data analysis patterns.

This session delivers a clear, practical deep dive into advanced SQL query techniques, helping you write smarter, structured, and performance-aware code.

Led by Geetha M, Corporate Trainer, this session focuses on real-world examples and step-by-step explanations to strengthen your SQL skills.

� What you’ll learn:

1. Common Table Expressions (CTEs)
Understanding the WITH clause and its role in structuring complex queries.
Breaking down large queries into readable, logical steps.
Using multiple CTEs in a single query.
Recursive CTEs for hierarchical data (e.g., org structures, parent-child relationships).
When to use CTEs vs subqueries or temporary tables.

2. Derived Tables (Inline Views)
What derived tables are and how they work inside a query.
Using subqueries in the FROM clause to simplify aggregations and filtering.
Performance considerations when working with derived tables.
Practical examples of simplifying nested queries.

3. Temporal Tables
Introduction to system-versioned (temporal) tables.
Tracking historical changes automatically in SQL databases.
Querying data at a specific point in time.
Real-world use cases for auditing, compliance, and historical reporting.

4. Choosing the Right Approach
CTEs vs derived tables—clarity, scope, and performance trade-offs.
When temporal tables reduce the need for manual audit logic.
Writing maintainable and production-ready SQL.

5. Real-World Query Scenarios
Financial reporting with historical tracking.
Sales analysis using layered CTE logic.
Simplifying reporting queries using inline aggregations.
Handling evolving datasets with temporal structures.

6. Performance & Optimization Tips
Avoiding unnecessary nesting.
Indexing considerations for advanced queries.
Query ex*****on plan basics for tuning performance.

7. Live Q&A and Applied Guidance
Answering participant questions on complex SQL logic and best practices.
Practical advice for analysts, developers, and database professionals.

� Who should attend?
SQL developers and database administrators
Data analysts and BI professionals
Students learning advanced SQL concepts
Anyone working with complex queries or historical data

Speaker:
Geetha M
Corporate Trainer | Koenig Solutions Pvt. Ltd.

� Follow & Learn More:
� Koenig Solutions: https://www.koenig-solutions.com
� LinkedIn: https://www.linkedin.com/company/koenig-solutions
� Facebook: https://www.facebook.com/koenigsolutions
� Instagram: https://www.instagram.com/koenigsolutions
� Twitter (X): https://x.com/KoenigSolutions
� Upcoming Webinars: https://www.koenig-solutions.com/upcoming-webinars

� If you want to elevate your SQL from functional to powerful and maintainable, this session will equip you with the tools and techniques to write cleaner, more structured queries confidently.
� Like | � Comment | � Subscribe for more expert-led SQL and data engineering sessions.

� Designing Complete Analytics Workflows Using Power BI and Microsoft Fabric
(Unify Data, Model Efficiently & Deliver Insights at Scale)
� February 15 · 4 PM IST – Set Reminder �

Power BI becomes dramatically more powerful when paired with Microsoft Fabric, enabling seamless data ingestion, high-performance analytics, and enterprise-grade reporting—all in a single, integrated ecosystem. With DirectLake, Lakehouse modeling, and Fabric’s unified storage, organizations can build analytics workflows that are faster, cleaner, and easier to manage.

This session provides a practical, end-to-end guide to designing analytics workflows using Power BI and Microsoft Fabric, helping participants move from fragmented processes to a unified, governed analytics architecture.

Led by Nimisha Mohan, Corporate Trainer, this session focuses on real-world design, optimization, and delivery techniques that BI teams can apply immediately.

� What you’ll learn:

1. Fabric Power BI Integration
How Power BI connects natively with Fabric workloads (Lakehouse, Warehouse, Dataflow Gen2).
Benefits of shared governance, storage, and semantic modeling.
Why Fabric transforms Power BI into a scalable enterprise analytics solution.

2. DirectLake for High-Performance Analytics
What DirectLake is and why it revolutionizes data access for Power BI.
How DirectLake eliminates imports, refresh delays, and model size limitations.
Performance gains: real-time insights with near-warehouse speeds.
Use cases where DirectLake is superior to Import or DirectQuery.

3. Data Modeling & Relationships in Fabric + Power BI
Designing robust semantic models on top of Lakehouse or Warehouse.
Building star schemas, managing cardinality, and defining hierarchies.
How to optimize relationships for clarity, performance, and accuracy.
Why semantic models are the foundation of repeatable BI workflows.

4. Optimizing Power BI Performance
Performance tuning techniques including:
• Efficient DAX measures
• Proper use of aggregations
• Reducing model complexity
• Query folding with Dataflow Gen2
• Leveraging incremental refresh
Best practices for long-term maintainability and scalability.

5. Delivering Insights Across the Organization
Publishing and sharing insights in the Power BI Service.
Using apps, workspaces, and governance policies for secure distribution.
Enabling self-service BI through certified datasets and semantic models.
Driving data-driven cultures with centrally managed, high-quality analytics.

6. Real-World Workflow Example
A complete scenario: Ingest → Transform → Model → Analyze → Visualize → Share.
How teams use Fabric + Power BI to accelerate decision-making across departments.

7. Live Q&A and Applied Guidance
Ask questions on modeling, DirectLake, Fabric integration, or enterprise deployment.
Best practices for BI teams moving into Microsoft Fabric ecosystems.

� Who should attend?
Power BI developers & BI analysts
Data engineers & Fabric practitioners
Analytics leads and data architects
Organizations scaling BI across teams
Anyone building modern end-to-end analytics workflows

Speaker:
Nimisha Mohan
Corporate Trainer | Koenig Solutions Pvt. Ltd.

� Follow & Learn More:
� Koenig Solutions: https://www.koenig-solutions.com
� LinkedIn: https://www.linkedin.com/company/koenig-solutions
� Facebook: https://www.facebook.com/koenigsolutions
� Instagram: https://www.instagram.com/koenigsolutions
� Twitter (X): https://x.com/KoenigSolutions
� Upcoming Webinars: https://www.koenig-solutions.com/upcoming-webinars

� If you want to master modern analytics architecture—and deliver enterprise-ready insights with speed and precision—this session will show you how Power BI and Microsoft Fabric work together as a single, powerful platform.
� Like | � Comment | � Subscribe for more expert-led Power BI, Fabric, and data engineering sessions.

� Building a Real-World Data Analysis Portfolio Project with Power BI
(Master the Full Analytics Workflow from Data to Dashboard)
� February 14 · 9 PM IST – Set Reminder �

A strong Power BI portfolio project does more than showcase visuals—it demonstrates your ability to connect to data, clean it, model it, analyze it, and present insights clearly. Whether you're preparing for analytics roles or sharpening your BI skills, learning the complete Power BI workflow is essential.

This session walks you through every stage of building a real-world data analysis project, giving you the hands-on skills needed to create a portfolio-worthy Power BI solution.

Led by Chinechetam Okafor, Corporate Trainer, this session blends fundamentals with practical project-building techniques to help your work stand out.

� What you’ll learn:

1. Introduction to Power BI
What Power BI is and how it fits into modern data analytics.
Overview of Power BI Desktop, Service, and the complete BI lifecycle.
Understanding how Power BI helps transform raw data into actionable insights.

2. Connecting to Data Sources
Importing data from Excel, databases, web sources, cloud storage, and more.
Choosing the right connectivity mode: Import vs DirectQuery.
Managing refreshes and building reliable data pipelines for your project.

3. Data Transformation with Power Query
Cleaning and shaping data before modeling.
Removing duplicates, fixing formatting issues, merging and appending tables.
Using the Power Query Editor to automate repeatable data-preparation steps.
Best practices for maintaining quality and consistency across datasets.

4. Data Modeling Essentials
Designing an effective data model for analysis.
Understanding relationships, cardinality, and star schema design.
Creating hierarchies, calculated columns, and optimizing performance.
Why a strong model is the foundation of a successful portfolio project.

5. DAX Fundamentals
Learning core DAX concepts—row context, filter context, evaluation.
Writing essential measures:
• Total Sales
• Year-over-Year growth
• Running totals
• Filters and conditional calculations
How DAX brings deeper, dynamic insights to your reports.

6. Building a Portfolio-Ready Dashboard
Choosing visuals that tell a compelling story.
Adding interactivity with slices, drill-throughs, bookmarks, and tooltips.
Design principles: clarity, simplicity, and business relevance.
Turning analysis into a polished dashboard suitable for interviews or client presentations.

7. Live Q&A and Applied Guidance
Get answers on modeling, DAX, dashboard design, and portfolio-building strategies.
Personalized tips to elevate your Power BI analytics journey.

� Who should attend?
Aspiring data analysts & BI developers
Students building analytics portfolios
Professionals transitioning into data roles
Anyone looking to master real-world Power BI projects

Speaker:
Chinechetam Okafor
Corporate Trainer | Koenig Solutions Pvt. Ltd.

� Follow & Learn More:
� Koenig Solutions: https://www.koenig-solutions.com
� LinkedIn: https://www.linkedin.com/company/koenig-solutions
� Facebook: https://www.facebook.com/koenigsolutions
� Instagram: https://www.instagram.com/koenigsolutions
� Twitter (X): https://x.com/KoenigSolutions
� Upcoming Webinars: https://www.koenig-solutions.com/upcoming-webinars

� If you want to build Power BI projects that impress employers and clients, this session will guide you through every step—from raw data to polished, portfolio-ready insights.
� Like | � Comment | � Subscribe for more expert-led Power BI, analytics, and dashboard design sessions.