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Microsoft Fabric Updates Blog

  1. Updates
  2. RK Iyer

Playbook for metadata driven Lakehouse implementation in Microsoft Fabric

  • Headshot of article author April 2, 2025 by RK Iyer 59,298 Views

Co-Author – Gyani Sinha, Abhishek Narain Overview A well-architected lakehouse enables organizations to efficiently manage and process data for analytics, machine learning, and reporting. To achieve governance, scalability, operational excellence, and optimal performance, adopting a structured, metadata-driven approach is crucial for lakehouse implementation. Building on our previous blog, Demystifying Data Ingestion in Fabric, this post … Continue reading “Playbook for metadata driven Lakehouse implementation in Microsoft Fabric”

Demystifying data Ingestion in Fabric: fundamental components for ingesting Data into a Fabric Lakehouse using Fabric Data pipelines

  • Headshot of article author June 18, 2024 by RK Iyer 133,132 Views

Co-Author – Abhishek Narain Overview Building an effective Lakehouse starts with establishing a robust ingestion layer. Ingestion refers to the process of collecting, importing, and processing raw data from various sources into the data lake. Data ingestion is fundamental to the success of a data lake as it enables the consolidation, exploration, and processing of … Continue reading “Demystifying data Ingestion in Fabric: fundamental components for ingesting Data into a Fabric Lakehouse using Fabric Data pipelines”