Fabric supports several built-in analytical data stores, such as SQL databases, Warehouses, Lakehouses, and Eventhouses, each optimized for different workloads. Microsoft Learn In short: Fabric SQL databases exist because they combine relational (transactional + structured) capabilities with seamless integration into the unified, scalable, lake-backed Fabric analytics platform — enabling small/moderate data workloads, quick lookups and …
Category Archives: Data Engineering
Data Security and Compliance
Data Governance Policies
Data Governance: Data governance establishes clear rules for data quality, security, access, and lifecycle management. It ensures data is accurate, compliant, and trustworthy by enforcing standards, ownership, lineage, and controls across the organization. Data Governance Policy: A data governance policy is a formal set of rules and guidelines that defines how an organization manages, protects, …
Databricks: Roles overview
Databricks: Control Plane vs Data Plane
Control Plane The Control Plane is where Databricks manages and orchestrates your workspace and infrastructure.It contains all the metadata and configuration required to run workloads. Key responsibilities: Essentially, the Control Plane is Databricks-managed and ensures your workspace runs smoothly, without hosting your business data. Data Plane The Data Plane is where your data is processed …
Databricks Key Components & Concepts
Data Lake A centralized storage repository (often on ADLS, S3, or GCS) that holds raw structured and unstructured data at scale. It serves as the foundation for analytics, ML, and data warehousing on Databricks. Delta Lake An open-source storage layer that brings ACID transactions, schema enforcement, time travel, and data reliability to the Data Lake. …
Core Data Processing Challenges
1. Scalability and Performance 2. Data Integration Complexity 3. Data Quality and Governance 4. Cost Optimization 5. Security and Access Control 6. Operational Complexity and Automation 7. Vendor Lock-In and Interoperability
Data Engineering
Introduction
Data Culture
Data-driven Decision
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