Azure

Azure Data Factory, Synapse, pipelines

Connecting Azure Databricks to Blob Storage and ADLS Gen2: Every Method Explained

Leave a Comment / Azure, Data Engineering

Master every method to connect Azure Databricks to storage. Access Key (dev), SAS Token (scoped), Service Principal with OAuth (production), and Unity Catalog with Access Connector (enterprise). Covers abfss vs wasbs, mounting vs direct access, Key Vault secret scope setup, config notebook pattern, and common connection errors.

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Azure Databricks for Data Engineers: Introduction, Architecture, and dbutils Commands Explained

Leave a Comment / Azure, Data Engineering, Python

Master Azure Databricks from architecture to daily commands. Covers workspace setup, cluster types, notebooks, and every dbutils module: fs (file operations), secrets (Key Vault integration), widgets (parameterization), and notebook (orchestration). Plus Delta Lake operations, mounting storage, Workflows, cost management, and Databricks vs Synapse comparison.

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Production Data Quality Pipeline with SCD Type 1 and Type 2 in Azure Synapse Data Flows

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Build a production-grade pipeline combining data quality (null handling, standardization, deduplication) with dual SCD Type 1 and Type 2 using Synapse Data Flows. Dual hash columns, four-stream Conditional Split, three sinks, complete audit trail. Every transformation explained with the hospital intake analogy.

Production Data Quality Pipeline with SCD Type 1 and Type 2 in Azure Synapse Data Flows Read More »

Azure Networking for Data Engineers: VNets, Subnets, NSGs, Private Endpoints, and Everything In Between

Leave a Comment / Azure, Data Engineering

Master Azure networking for data engineering. VNets, Subnets, NSGs (inbound/outbound rules), Private Endpoints, Service Endpoints, VNet Peering, VPN Gateway, ExpressRoute, DNS, and production network architecture. Complete city analogy makes every concept click.

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Building an SCD Type 2 Pipeline in Azure Synapse Data Flows: Full History with Hash-Based Change Detection

Leave a Comment / Azure, Data Engineering

Build a complete SCD Type 2 pipeline using Synapse Data Flows. Every transformation explained: hash generation, lookup, conditional split, parallel expire+insert paths, dual sinks. Includes surrogate key strategy, first-run vs subsequent-run walkthroughs, point-in-time queries, and common errors.

Building an SCD Type 2 Pipeline in Azure Synapse Data Flows: Full History with Hash-Based Change Detection Read More »

SCD Type 1 Pipeline with Hash-Based Change Detection in Azure Synapse: Every Activity Explained

Leave a Comment / Azure, Data Engineering

Build an SCD Type 1 pipeline with SHA-256 hash-based change detection using Synapse Data Flows. Every transformation explained: Source, Derived Column (hash), Select (SRC_ prefix), Lookup (left outer), Conditional Split (new/changed/unchanged), Alter Row (insert/update), Union, and Sink. Includes audit trail design, idempotency, and first-run vs subsequent-run walkthroughs.

SCD Type 1 Pipeline with Hash-Based Change Detection in Azure Synapse: Every Activity Explained Read More »

Building an SCD Type 1 Pipeline in Azure: Full Load with Metadata, Audit Logging, and Every Activity Explained

Leave a Comment / Azure, Data Engineering

Build a complete SCD Type 1 pipeline from scratch with every activity explained. Covers Lookup, ForEach, Copy, audit logging with stored procedures, parameterized datasets, the complete parameter flow chain, date-partitioned output, and the restaurant kitchen analogy that makes it all click.

Building an SCD Type 1 Pipeline in Azure: Full Load with Metadata, Audit Logging, and Every Activity Explained Read More »

Azure Synapse Analytics Workspace Setup Guide: From Creation to Your First Pipeline

Leave a Comment / Azure, Data Engineering

Complete guide to setting up Azure Synapse Analytics. Covers workspace creation, Synapse Studio walkthrough, Serverless SQL Pool, Dedicated SQL Pool, Spark Pool, building your first pipeline, Git integration, Managed VNet, RBAC roles, cost management, and when to use Synapse vs standalone ADF.

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Cloud Computing Explained: On-Premises, Public, Private, Hybrid, IaaS, PaaS, SaaS, and the Shared Responsibility Model

Leave a Comment / AWS, Azure, Data Engineering

Master cloud computing fundamentals. On-premises vs Public vs Private vs Hybrid cloud, IaaS vs PaaS vs SaaS with the pizza analogy, the Shared Responsibility Model across all service models, CapEx vs OpEx, Azure services mapped to each model, and real-world migration scenarios.

Cloud Computing Explained: On-Premises, Public, Private, Hybrid, IaaS, PaaS, SaaS, and the Shared Responsibility Model Read More »

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