Move Data into and Out of Azure Cosmos DB SQL API
Explore techniques for migrating data to and from Azure Cosmos DB SQL API using Azure services and open-source solutions like Kafka, Stream Analytics, Spark, and Azure Data Factory.
Azure Data Factory Power Hour - Latest Updates and Demos
Exclusive Azure Data Factory updates and demos, including Power Query integration, managed virtual networks, Teams notifications, and user-assigned managed identities for enhanced data integration capabilities.
ETL Observability: Azure to Snowflake - Monitoring with Splunk and Power BI
Explore ETL monitoring from Azure to Snowflake using ADF, Splunk, and Power BI. Learn data lineage and observability techniques for efficient pipeline management.
How to Pick the Best Data Transformation Strategy
Explore tools for combining data from multiple sources, including Azure Synapse, Spark, and Power BI Data Flows. Learn to select the optimal tool for your data environment.
How Data Hub Flies Above the Clouds - Building a Centralized Social Media Analytics Platform
Discover how to build a centralized data platform using Azure services, integrating social media data through Data Lake, Databricks, and Power BI for comprehensive analytics and reporting.
Introduction to Azure Data Services One by One
Explore Azure's diverse data services, from SQL Database to Databricks, understanding their purposes and use cases to make informed choices for your data management needs.
Microsoft Fabric: Tour of the User Interface
Explore Microsoft Fabric's self-service data and AI platform interface, learning key concepts and navigation for effective data management and analysis.
CI/CD for Modern Data Engineering - End-to-End Project on Azure with Terraform
Implement CI/CD for modern data engineering using Azure and Terraform. Automate infrastructure, storage, and data factory deployment with hands-on guidance and practical examples.
From ETL to Data Engineering with Azure Data Factory
Explore modern Azure Data Factory features for efficient, scalable data pipelines. Learn parameterization, dynamic workflows, and integration with Azure Databricks for cloud-native ETL solutions.
Finding Your Balance - BI in the Cloud, On Premises, or Both
Explore BI solutions across cloud, on-premises, and hybrid environments. Learn about Power BI, SQL Server, Azure services, and tools for effective data analysis and decision-making.
Integración de Datos con Azure Data Factory
Aprende a crear y gestionar proyectos de integración de datos escalables en la nube utilizando Azure Data Factory, abordando fuentes en la nube, on-premise y paquetes SSIS tradicionales.
Introduction to Azure Data Factory
Learn Azure Data Factory fundamentals, build new data pipelines, and migrate SSIS packages. Discover how to streamline your data integration processes in the cloud.
Azure Data Factory Ingestion Framework - Cloud
Explore a framework for Azure Data Factory ingestion, covering data strategy, metadata database design, and automated pipeline development for efficient data lake management.
Delivering a Data Warehouse in the Cloud
Learn to evaluate, provision, and optimize Azure SQL Data Warehouse. Covers scalability, cost-effectiveness, data loading, performance improvement, and security best practices for cloud-based data warehousing.
Managing ETL Change Using BIMLScript
Automate ETL processes using BIMLScript and metadata to easily adapt to source file changes, demonstrated with US census data and applicable to SSIS and Azure Data Factory.
Head to Head - SSIS Versus Azure Data Factory
Comparative analysis of SSIS and Azure Data Factory, exploring strengths, weaknesses, and real-world applications for data movement and transformation in SQL Server environments.
Let's Automagically Stage 100 Tables - For SSIS or ADF - With Biml - Live
Explore how Business Intelligence Markup Language (Biml) can automate SSIS package creation and generate JSON for ADF pipelines, streamlining data transformation processes from on-premises to Azure.
Accelerate Migrations of Legacy SQL Server and SSIS with Azure Data Factory
Streamline SQL Server and SSIS migration to Azure using ADF. Learn to provision SSIS-IR, run SSIS packages in ADF pipelines, and leverage DMA and DMS for efficient batch migrations.
Ingesting and Managing Petabytes of Data with Azure Data Factory
Explore improvements in Azure Data Factory for simplified data integration and management, including code-free ETL/ELT and comprehensive data overview, empowering enterprises to handle petabytes of data for valuable insights.
Data Quality Round-trip in the MS Dataplatform
Explore comprehensive data quality solutions using Microsoft's Data Platform, including Machine Learning, Azure Data Factory, and SQL Server 2019, to address and resolve data quality challenges.
ETL in Azure Made Easy with Data Factory Mapping Data Flows
Explore Azure Data Factory's Mapping Data Flows for efficient, scalable ETL without coding. Learn to transform data using Databricks integration and graphical tools.