Intro to Microsoft Fabric

Microsoft Fabric represents a cutting-edge, all-in-one analytics solution designed for enterprises, seamlessly integrating data management, data science, real-time analytics, and business intelligence within a unified platform. This SaaS-based offering encompasses data lake management, data engineering, and data integration, all supported by advanced AI capabilities, to provide a comprehensive and integrated solution for your data needs. It simplifies and centralizes the data analytics process, enabling both technical and non-technical users to harness its power, making insights accessible and actionable.

Benefits of Using Microsoft Fabric

Scalability - Designed to be scalable, easily adapting to meet the changing needs of businesses, helping to save costs and improve efficiency.

Simplified Data Management - A unified platform for data management can simplify data storage, organization, and access, improving data quality and reducing time to find and use data.

Enhanced Collaboration - Users can share data and insights, and work together to build and deploy data-driven solutions, making it easy for teams to collaborate on data projects.

Improved Security - Secure environment for data storage and processing, including features such as data encryption, access control, and auditing, helping to protect data from unauthorized access.

Reduced Complexity - Provides a single pane of glass for managing data, including pre-built tools and templates to help automate tasks, reducing the complexity of data management.

Cost Efficiency - A cost-effective solution for data management, helping to save costs by reducing the need for third-party tools and services.

Query Optimization: Performance on a par with import mode, with the real-time nature of DirectQuery and the data never leaves the lake.

PoC Ready: Power BI reads data from OneLake, can query the Parquet Delta files directly and doesn’t need to send SQL queries.

Faster Visuals: Visual queries won’t be translated to SQL queries against an SQL endpoint of the Lakehouse; they would run directly on Parquet Delta files stored in OneLake.

Direct Data Loading: DirectLake is a fast-path to load the data from the lake straight into the Power BI engine, combining the advantages of both DirectQuery and import modes while avoiding their disadvantage

Our Approach

In 2 weeks, our Data Engineer and Business Intelligence Engineer will enable you to quickly understand the features and capabilities of Microsoft Fabric, as well as relevant use-cases that can be delivered by the new solution.

Timeline

Day 1- Mobilization
Day 2 – POC Definition and Existing infrastructure analysis
Day 3 – Requirements gathering
Day 4 – Wireframing and Data Discovery
Day 5 - 7 – Build Lakehouse and PBI data model:
- Data Cleansing
- Create relationships between modern data platform
- Data Integration
- Backend Development
- Establish relationship between tables
Day 8 – Data Visualization
Day 9 –Theming and Branding
Day 10 – Deployment and Next Steps

Fabric POC with DirectLake US

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