Databricks Lakeflow Explained (2026) | Architecture, Pipelines & Medallion Design
Автор: DataMindAI with Ahmed
Загружено: 2026-03-08
Просмотров: 26
Описание:
🚀 Full Databricks Lakeflow Masterclass (32+ Episodes)
• Databricks Lakeflow Masterclass
📚 Start the course here:
1️⃣ Lakeflow Architecture
• Databricks Lakeflow Explained (2026) | Arc...
2️⃣ Lakeflow Connect
• 1️⃣ Lakeflow Connect Explained (2026) | Da...
Databricks Lakeflow is the next evolution of modern data engineering.
In this video, we explore the architecture of Databricks Lakeflow and explain how declarative data pipelines are transforming the way data engineers build and operate data platforms.
Topics covered in this tutorial:
• What Databricks Lakeflow is
• Lakeflow Connect for intelligent data ingestion
• Lakeflow Pipelines for declarative data transformations
• Lakeflow Jobs for orchestration and scheduling
• The shift from imperative pipelines to declarative pipelines
• Streaming tables and materialized views
• Data quality rules as code
• Implementing the Medallion architecture (Bronze → Silver → Gold)
Lakeflow simplifies modern data engineering by combining ingestion, transformation, orchestration, and governance in a unified platform built on the Databricks Lakehouse.
This video is part of the Databricks Lakeflow Masterclass, a full series where we build production-grade data pipelines step-by-step.
Instructor:
Ahmed Mahmoud
Principal Data Engineer | DataMindAI
Subscribe for advanced tutorials on:
• Databricks
• Data Engineering
• Lakehouse Architecture
• AI & Data Platforms
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