
Discover insights on architecting complex distributed systems using multiple open-source big data technologies. Learn from real-world examples in IoT, fintech, and more.

Analyze top distilleries' whiskeys using K-means clustering from Apache projects to identify the perfect single-malt Scotch. Explore data analysis with Groovy, Commons Math, Ignite, Spark, Wayang, Beam, and Flink.

Embark on an epic quest to save AdventureWorks from security threats and performance issues using Microsoft's Intelligent Data Platform. Join expert engineers in battling foes with data analytics and innovative solutions.

Explore Azure Databricks' key features and Spark scenarios through demos, gaining insights on best practices for big data analysis in the Azure cloud.

Explore Lakehouse architecture on Microsoft Intelligent Data Platform. Learn Synapse Analytics, Delta format, and Spark-based engines for efficient big data processing and analytics.

Enhance data management with HEDDA.IO: Streamline standardization, cleansing, matching, and enrichment tasks across departments for improved data quality and process integration.

Discover DataOps principles for reliable, timely, and trustworthy Power BI analytics. Learn to continuously improve data development and delivery processes.

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.

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.

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.

Discover hidden features and maximize your use of Azure Data Studio for enhanced database management and productivity.

Collaboratively design dimensional models with business users for effective star schema requirements gathering and data visualization.

Discover techniques for managing cloud costs through architecture, monitoring, and optimization. Learn best practices for data engineers to control expenses effectively.

Explore Azure Data Explorer setup and usage through practical examples in this introductory session on modern analytics and big data engineering.

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.

Discover tips and tricks for optimizing enterprise data models, reducing size, and meeting business needs when DirectQuery is the only option.

Build a full Data Lakehouse platform using Microsoft Fabric's unified SaaS data platform, exploring architecture patterns and implementation without Azure resources.

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.

Explore advanced Data Factory scenarios in Microsoft Fabric, leveraging Data Pipelines and Dataflows Gen2 for scalable implementations.

Explore the evolving database landscape through personal experiences, customer insights, and industry trends, revealing shifts and future directions in database technologies.

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.