Accelerating the Migration of Legacy SSIS with Azure Data Factory
Explore new features for migrating legacy SSIS to Azure Data Factory, including Azure-SSIS Integration Runtime, Azure Files integration, and batch assessments using Data Migration Assistant.
Design Your Data Vault and Load It With Azure Data Factory
Explore Data Vault methodology for data warehouse design and learn how to populate it using Azure Data Factory's Mapping Data Flows, with insights on ETL patterns and practical implementation.
Moving Data with Azure Data Factory
Learn to build native ADF pipelines, lift and shift SSIS to Azure, and use design patterns for execution and monitoring in this comprehensive overview of Azure Data Factory's cloud data engineering capabilities.
Moving Data to the Cloud with Azure Data Factory
Explore Azure Data Factory for efficient cloud data migration, covering variables, looping, Integration Runtime, file uploads, triggers, and secure credential management with Azure Vault.
Azure Data Factory: Cloud ETL Service for Data Integration and Transformation
Master Azure Data Factory for serverless data integration and transformation, with code-free UI and SSIS compatibility.
Automating Azure Data Factory for Rapid Data Ingestion - 20-Minute Solution
Automate Azure Data Factory ingestion into Data Lake using BimlFlex accelerators in just 20 minutes. Learn efficient data loading techniques and DataOps automation.
Unlocking Azure OpenAI: A 20-Minute Introduction
Explore Azure OpenAI's core principles, capabilities, and applications in just 20 minutes, including integration with Azure Data Factory and Azure SQL.
Top 10 Azure Data Factory Tips and Tricks for Speed, Cost, and Performance
Discover 10 essential Azure Data Factory tips to enhance performance, reduce costs, and streamline data integration solutions for improved efficiency.
Choosing Between Microsoft Fabric, Azure Synapse Analytics and Azure Data Factory
Compare Microsoft Fabric, Azure Synapse Analytics, and Azure Data Factory to select the optimal Data Integration solution for your project. Gain insights on their strengths and limitations.
Football Data Analytics with Tableau - Azure Data Engineering Project Part 3
Explore football data engineering: Extract Wikipedia data, store in Azure, migrate with Data Factory, query with Synapse, and visualize in Tableau. Master end-to-end data processes.
Understanding Microsoft Fabric - Video 2
Explore Microsoft Fabric's architecture, services, and key concepts for self-service data analytics and AI, building on UI basics from the previous video.
Azure Data Engineering Tools: Choosing Between Data Factory, Databricks, and Synapse Analytics
Explore Azure data engineering tools: Data Factory, Databricks, and Synapse Analytics. Learn their strengths, use cases, and how to choose the right one for your project.
7 Things I Wish I'd Known Before Building a 60TB Data Warehouse on a Dedicated Pool
Discover key insights and lessons learned from building a 60Tb data warehouse on Azure Dedicated Pool. Explore challenges, solutions, and best practices for large-scale data management.
Better ETL with Managed Airflow in Azure Data Factory
Discover Managed Airflow in ADF for complex data workflows. Learn about Apache Airflow, its benefits for ETL orchestration, and see practical demonstrations of its implementation in Azure.
From SSIS to Synapse to Fabric - A Data Architect's Case Study
Explore a real-world EDW automation framework migration journey from SSIS to Synapse to Fabric. Learn migration processes, lessons, improvements, and unit testing strategies for data architects.
Data Testing with HEDDA.IO
Enhance data quality with HEDDA.IO: Learn to integrate this versatile tool across Azure environments for accurate, reliable data testing in lake house and event-driven architectures.
How to Create and Manage Azure Data Factory Using Terraform
Provision and manage Azure Data Factory with Terraform for scalable, serverless data integration and transformation in the cloud.
Football Data Analytics: Azure End-to-End Data Engineering Project
Extract, clean, and analyze football data using Apache Airflow, Azure services, and Tableau. Build a comprehensive data pipeline from Wikipedia to interactive visualizations.
Football Data Analytics: Azure End-to-End Data Engineering Project - Part 2
Extract, store, and analyze football data using Azure services and Apache Airflow. Develop end-to-end data engineering skills through hands-on implementation of a real-world project.
Building Robust Data Pipelines for Modern Data Engineering - End-to-End Project
Develop robust data pipelines using Apache Spark, Azure Databricks, and DBT. Master end-to-end data engineering with Azure, covering ingestion, integration, and transformation in a modern data architecture.
Secure and Streamline Data Engineering Workloads with Azure Data Factory and Snowflake
Discover how to optimize data engineering workflows using Azure Data Factory and Microsoft Fabric with Snowflake, featuring bi-directional data access through Apache Iceberg for enhanced security and performance.