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.
SQL Server 2019 Big Data Clusters Architecture - Modernizing Your Data Platform
Explore SQL Server 2019's big data cluster architecture, integrating SQL Server with HDFS for petabyte-scale storage and leveraging Kubernetes for scalable data processing and virtualization.
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.
Azure Synapse Analytics
Unified data analytics platform for ingesting, preparing, managing, and serving data, combining enterprise data warehousing and big data analytics capabilities.
Roles and Responsibilities of the Azure Data Engineer
Explore the role of Azure Data Engineer, including key responsibilities, required skills, and relevant Azure services. Learn how to align your career path with the Microsoft certification.
Data Virtualization is Easy with SQL Server Big Data Cluster
Explore data virtualization using SQL Server 2019 Big Data Cluster. Learn to access and analyze external data sources, implement data ingestion, and gain insights from a real project's lessons learned.
Analytics Spotlight - The New Analyst
Explore evolving analytics trends, skills, and technologies for business analysts. Learn to work with data science, improve data literacy, and embrace ambiguity in modern business intelligence.
An Azure Data Engineer's ETL Toolkit
Explore Azure's data movement and transformation options, comparing SSIS with Data Factory, Databricks, and Logic Apps. Learn ETL patterns and Data Flow features for scalable cloud migration.
Microsoft Data Engineering Unplugged
Meet Microsoft's Data Engineering team, discuss SQL Server, Azure SQL, and data services. Gain insights into product development, engineering processes, and future plans. Engage directly with PMs in this interactive session.
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.
SQL and MongoDB - When Two Worlds Collide
Explore hybrid SQL-NoSQL solutions, focusing on integrating MongoDB with SQL Server. Learn scenarios, implementation techniques, and performance considerations for leveraging strengths of both database types.
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.
Operationalize Data Science for Advanced Decision Support
Learn to develop and integrate predictive models using Azure Machine Learning, enhancing organizational decision-making through data science principles, best practices, and a real-world case study.
Introducing Azure Synapse Analytics - The End-to-End Analytics Platform
Explore Azure Synapse Analytics, a comprehensive platform integrating relational and big data systems for efficient data ingestion, preparation, modeling, and serving in a unified workspace.
Azure Synapse Analytics - A Data Lakehouse
Explore Azure Synapse Analytics, a unified service combining data warehousing and Big Data analytics. Learn about its features, scalability, and integration in modern data warehouses through demonstrations.
Deploying SQL Server Big Data Clusters
Learn to deploy SQL Server Big Data Clusters, demystify Kubernetes, and compare on-prem vs cloud deployments. Gain practical tools and scripts for immediate implementation.
Big Data Clusters First Birthday
Celebrating SQL Server Big Data Clusters' first year, showcasing enhancements, and previewing future developments for accelerating data engineering and science projects.
Data Engineering Brick-by-Brick - An Intro To Azure Databricks
Explore Azure Databricks for cloud-based big data analytics. Learn cluster setup, collaborative notebooks, and machine learning integration. Discover its role in modern cloud data warehousing.
Microsoft Power BI for the Data Engineer
Explore Power BI's capabilities for enterprise-grade insights, performance, governance, and security over massive datasets. Learn simplified data modeling and visualization techniques for actionable insights.
The Data Janitor Returns
Practical insights on data-driven decision-making with limited resources. Covers roles, challenges, and real-world solutions in data management, avoiding hype and focusing on impactful strategies.
Modern Data Science in a Cloud Native World
Explore cloud-native data science pipelines using Kubernetes and Pachyderm. Learn to develop, test, deploy, and scale data workflows while implementing data versioning for enhanced tracking and GDPR compliance.