Analyzing Big Data in Azure Cloud Using Spark and Databricks
Explore Azure Databricks' key features and Spark scenarios through demos, gaining insights on best practices for big data analysis in the Azure cloud.
Building a Lakehouse on the Microsoft Intelligent Data Platform
Explore Lakehouse architecture on Microsoft Intelligent Data Platform. Learn Synapse Analytics, Delta format, and Spark-based engines for efficient big data processing and analytics.
Integrate Data Quality into Your Processes
Enhance data management with HEDDA.IO: Streamline standardization, cleansing, matching, and enrichment tasks across departments for improved data quality and process integration.
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.
Azure Data Explorer - A Torch in the Dungeon of Observational Analytics
Explore Azure Data Explorer for observational analytics, learning its capabilities and getting a quick start in this powerful platform for handling big data and IoT scenarios.
Power BI and Azure Synapse Analytics - Creating a Unified Analytics Solution
Embark on a unified analytics journey using Power BI and Azure Synapse Analytics. Learn essential techniques to create powerful data solutions and gain valuable insights.
FinOps: How Data Engineers Get Their Cloud Costs Under Control
Discover techniques for managing cloud costs through architecture, monitoring, and optimization. Learn best practices for data engineers to control expenses effectively.
Azure Data Explorer: Introduction and Setup - The Last Crusade
Explore Azure Data Explorer setup and usage through practical examples in this introductory session on modern analytics and big data engineering.
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.
Zero to Lakehouse in Microsoft Fabric
Build a full Data Lakehouse platform using Microsoft Fabric's unified SaaS data platform, exploring architecture patterns and implementation without Azure resources.
Microsoft Fabric for Finance and Business Analysts - From IT Reliant to IT Enabled
Explore Microsoft Fabric's impact on finance/business analysis, transforming IT reliance to enablement. Learn data platform components, SaaS lakehouse benefits, and team organization for scalable financial insights.
Deep Skydiving into Data Factory in Microsoft Fabric
Explore advanced Data Factory scenarios in Microsoft Fabric, leveraging Data Pipelines and Dataflows Gen2 for scalable implementations.
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.
Your First Flight with Data Factory in Microsoft Fabric
Explore Data Factory in Microsoft Fabric through a rapid tour, understanding its value for data integration in organizations.
End-to-End Data Validation Strategies in Microsoft Fabric
Explore strategic data validation in Microsoft Fabric's medallion architecture, enhancing end-user satisfaction through comprehensive WHY, WHEN, and HOW insights.
Load Testing Fabric: Determining Hold Capacity for Large Datasets
Discover techniques for testing Fabric's capacity to handle large-scale data processing, from ingestion to PowerBI visualization, for enterprise-level workloads.
A Data Engineer, Scientist and Analyst Walk Into a Bar
Explore data professional roles, essential skills, and real-world collaboration in data projects through personal journeys and industry insights.
Deep Skydiving into Data Factory in Microsoft Fabric
Explore advanced Data Factory scenarios in Microsoft Fabric, leveraging Data Pipelines and Dataflows Gen2 for scalable implementations.
Star Schema ALL the Things! But Why? - Practical Design Decisions in Data Modeling
Explore practical star schema design, from source to model to report. Learn best practices, test methodologies, and assess performance impacts in data modeling.
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.
Behind the Hype - Architecture Trends in Data
Explore data architecture trends with a seasoned engineer, separating hype from strategic value in industry buzzwords and innovations.