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Fabric POC with DirectLake US

Redkite

Embark on a transformative 10-day journey with Redkite's POC, where we will guide you through the power and potential of Microsoft Fabric, unlocking its key features and delivering practical use-cases

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

Με μια ματιά

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