Optimizing Business Logic and Data Governance on Snowflake with Power BI (Delta-Parquet) Integration
Date: Wednesday, December 18 2024
Time: 2:00 PM (EST)
Register Here
Optimizing Business Logic and Data Governance on Snowflake with Power BI (Delta-Parquet) Integration
Date: Wednesday, December 18 2024
Time: 2:00 PM (EST)
Register Here
About the workshop
Poor data quality costs businesses an average of $12.9 million annually. As businesses expand and data sources multiply, managing and integrating the growing flood of information has become a significant challenge. While many organizations rely on Snowflake for data warehousing and Power BI for analytics, combining these platforms often leads to critical issues, including a fragmented data ecosystem, complex integration processes, and limitations in data governance and security. These challenges can hinder organizational agility and growth.
Join the workshop to understand how unifying various data sources and tools is essential to seamlessly integrate Snowflake’s cloud data platform with Power BI’s powerful reporting tools using Microsoft Fabric. The workshop will provide you with the tools and knowledge to bridge the gap and enhance your analytics pipeline.
Agenda
1. Introduction to the Conjunction Landscape
- What is Microsoft Fabric?
- The Role of Snowflake in Modern Data Architecture
- The Power of Power BI in Data Analytics and Reporting
- How integration of Fabric, snowflake, and power BI into Microsoft Azure or multi-cloud environments, can leverage the full power of the cloud for data storage, computation, and analytics
2. What’s a Semantic Layer?
- How it separates business logic from BI Tools and ETL process
- Discussion on traditional bi-centric approach is business logic encoded within the BI tool
- What is direct Query? How is data served directly from Snowflake?
- How cloud-based data is loaded into power BI data integration, and advanced analytics capabilities
3. Understanding the Microsoft Fabric Architecture
- How Microsoft Fabric enables smooth integration across different platforms
- Connecting Snowflake to Power BI via Microsoft Fabric
- How to manage the data pipeline with Microsoft Fabric and ensure stored data in Snowflake is clean, integrated, and ready for analysis
- How Fabric allows for automated ETL pipelines, data integration, and advanced analytics capabilities
4. Building End-to-End Pipeline
- Importing Snowflake data into Microsoft Fabric
- Setting up Power BI reports using data sourced from Microsoft Fabric
- Best practices for optimizing data flows and performance
5. Microsoft Fabric & Snowflake Conjunction
- Benefits of integrating Microsoft Fabric with Snowflake for data management and governance
- Discussion on Connecting Fabric to Snowflake for efficient data ingestion and processing
6. Discussion on Use Cases
- Use Cases on how businesses use the Snowflake-Power BI-Microsoft Fabric integration for business intelligence
- Discussion on Industry based use cases
7. Q&A Session
Venkat Menta
December 18, 2024
2:00 PM (EST)
Virtual
Key Takeaways
- Learn about how standalone semantic layer is used on snowflake
- Understand how to use a semantic layer over a direct query
- Understand the role of Microsoft Fabric as an intermediary platform between Snowflake and Power BI.
- Effectively integrate Snowflake’s data with Power BI through the Microsoft Fabric architecture.
- Leverage Microsoft Fabric’s features to automate data workflows and ensure smoother data pipelines.
- Develop a more efficient reporting strategy by creating dynamic, data-driven dashboards in Power BI.