Lakehouse Solutions
Design lakehouse architectures that bring together data engineering, analytics and business intelligence workloads.
Sri Jayaram Infotech helps businesses build modern data and analytics solutions with Microsoft Fabric. We can help bring data engineering, lakehouse, data warehousing, analytics and Power BI capabilities together on a unified data platform.
Bring data engineering, analytics and business intelligence together on a modern data platform.
Design lakehouse architectures that bring together data engineering, analytics and business intelligence workloads.
Build data pipelines and transformation processes to ingest and prepare business data for analytics.
Create structured analytical data solutions for reliable reporting, metrics and business analysis.
Connect Fabric data with Power BI to deliver interactive dashboards, semantic models and decision support.
Support use cases that require analysis of streaming or continuously changing data.
Bring different data and analytics workloads together to reduce fragmentation and improve data accessibility.
Modernize data foundations and make trusted information easier to use across the organization.
Move toward a unified data platform for engineering, warehousing, analytics and business intelligence.
Bring data from different systems together so teams can work from more consistent information.
Create reusable data foundations that make reporting and analytics easier to develop and maintain.
Combine governed data with Power BI and analytics to improve management visibility.
Build a data platform that can grow with data volumes, users and analytical requirements.
Create a foundation that can support machine learning, AI and advanced analytical use cases.
Use the integrated Fabric ecosystem for modern data and analytics workloads.
Use a unified data lake foundation for organizational data and analytics workloads.
Build data ingestion and transformation pipelines across business data sources.
Combine data lake flexibility with analytical structures for modern data workloads.
Build analytical warehouse structures for business reporting and analysis.
Create semantic models, dashboards and reports on trusted analytical data.
Support analytics scenarios involving streaming and continuously changing information.
Combine Microsoft data engineering, analytics and business intelligence expertise in one approach.
Experience across data pipelines, databases, cloud data platforms and analytics technologies.
Connect Fabric with Power BI, Azure, Microsoft 365 and existing Microsoft technologies.
Design data solutions around business reporting, analytics and decision-making requirements.
Focus on achievable improvements rather than unnecessary platform complexity.
Build data foundations that can support advanced analytics and AI initiatives.
Provide knowledge transfer and support to help teams work effectively with the platform.
A structured approach from data discovery to a usable modern analytics platform.
Understand business questions, data sources, reporting requirements and existing architecture.
Define the lakehouse, warehouse, pipelines, semantic models, security and governance approach.
Connect data sources and build reliable pipelines and transformation processes.
Create semantic models, Power BI reports and analytical experiences for business users.
Validate the solution, establish operational practices and continuously improve the data platform.
Fabric can work with the wider Microsoft data, cloud and analytics ecosystem.
Common questions about Microsoft Fabric.
Tell us about your data sources, reporting challenges or analytics goals. We can help identify a practical Microsoft Fabric architecture and implementation approach.