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A leading EdTech company partnered with our data engineering team to modernize their data pipeline infrastructure. The client faced delays in data availability, limited real-time insights, and difficulties scaling analytics and machine learning workloads due to their traditional batch-oriented ETL pipelines. To overcome these challenges, they aimed to implement a streaming-first, unified data architecture using Microsoft Fabric and its Streaming capabilities to Onelake Lakehouse.
The client’s existing data infrastructure created several obstacles that limited efficiency, scalability, and compliance. To address these challenges, the client required a scalable, streaming-first architecture built on Microsoft Fabric, providing end-to-end support for ingestion, transformation, and secure delivery of data.
Our team designed and implemented a robust streaming data pipeline to ingest, process, and deliver real-time data from over 700 SQL Server tables from multiple databases into Microsoft Fabric’s OneLake Lakehouse. The architecture was built using the following key components
NeenOpal combines deep expertise in Microsoft Fabric, streaming data pipelines, and Power BI to help organizations modernize their data architecture. We specialize in building scalable, real-time data platforms that ensure secure data delivery, automated transformations, and efficient operations. With experience in managing complex, high-volume datasets, we enable faster insights, reduced manual effort, and cost-effective analytics for education and other data-driven sectors.
The implementation of a streaming-first data architecture delivered measurable improvements in data accessibility, speed, and security, transforming how the organization manages and leverages its data.
This case study demonstrates how organizations can leverage Microsoft Fabric Streaming to build modern, secure, and scalable real-time data pipelines. With minimal latency, robust schema handling, and data privacy controls, the solution has laid the groundwork for advanced analytics and AI use cases within the organization.
