Flight Plan for Data Security: Safeguarding Your Dataset with Dynamic Object-Level Security
Unlock dynamic Object-Level Security in Power BI Datasets using PowerShell. Safeguard data while elevating analytical capabilities. Learn from experts Diogo Martins and José Calheiros.
Analytics Architectures on Microsoft Fabric
Explore diverse analytics architectures, their pros and cons, and how Microsoft Fabric supports their implementation for effective data analysis.
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.
Common Data Science Mistakes and How to Avoid Them
Explore common statistical and data science pitfalls, learning to identify and avoid crucial errors in analysis and interpretation.
Power BI Admin: Aligning Threads for Microsoft Fabric
Align Power BI admin skills with Fabric: explore capacity and workspace management in the extended realm, leveraging familiar concepts for new workloads.
Data Engineering in Microsoft Fabric - Getting Started with Notebooks and Lakehouse
Explore data engineering in Microsoft Fabric: Notebooks, Lakehouse flexibility, Spark configurations, and Copilot-enhanced efficiency for developers.
Navigating Microsoft Fabric - Choosing the Right Workload for Your Needs
Choose the right Microsoft Fabric workload for your business needs and understand current limitations in this informative session led by experienced Microsoft program managers.
Microsoft Fabric Adoption: Measuring Success with KPIs - What Gets Measured, Gets Done
Implement specific measures and KPIs to track Microsoft Fabric and Power BI adoption, enhancing data-driven decision making and organizational performance.
Roche's Maxim of Data Transformation - By Example
Explore Roche's Maxim through practical examples, learning to optimize data transformation processes for improved efficiency and effectiveness in data management.
Git off My Lawn - Mastering Power BI Deployments with Git Integration
Master efficient Power BI project management and deployment using Git integration. Learn techniques for streamlined workflows and version control in Power BI development.
Contextualizing Time Series Data with Graphs in Kusto
Explore Kusto's graph capabilities in Azure Data Explorer, learning to create and query graphs with intuitive syntax for enhanced time series analysis.
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.
Harnessing Data Science and AI in Microsoft Fabric
Explore latest data science developments in Microsoft Fabric, including end-to-end workflow support, Copilot experiences, and evolving AI capabilities for enhanced productivity.
New Features in Power Query for Power BI, Fabric, and Excel
Discover the latest Power Query features in Power BI Desktop, Fabric Dataflows, and Excel, enhancing data transformation capabilities.
DAX Visual Calculations - What You Need to Know
Explore DAX visual calculations, understanding their advantages over regular DAX for running sums and moving averages in data analysis.
Exploratory vs Explanatory Dashboards - When to Build and How
Discover the key differences between exploratory and explanatory dashboards, and learn how to effectively design and implement each type for optimal data visualization.
Data Quality Revolution: The Fabric-OpenAI Approach
Master data cleaning techniques using Fabric and OpenAI to transform chaotic datasets into valuable insights, enhancing your data quality skills for improved analysis and decision-making.
Apache Flink for Sales Analytics - End-to-End Data Engineering Project
Develop an end-to-end sales analytics project using Apache Flink. Learn data ingestion, processing, complex transformations, and custom output formats for big data processing.
Building Data Lakehouse from Scratch - End-to-End Data Engineering Project
Design, implement, and maintain scalable lakehouse architectures using Apache Spark, Kafka, Flink, Delta Lake, AWS, and open-source tools. Enhance data potential through advanced analytics and machine learning.
GitOps, CI/CD, and MLOps - How It All Comes Together for Developers
Explore GitOps, CI/CD, and MLOps integration in OpenShift development workflows. Learn to leverage Jupyter Notebooks, OpenShift Pipelines, and ArgoCD for efficient intelligent application management.
Developing a Stream Processing Application with Apache Kafka and Quarkus
Build high-performance Kafka-based event-driven architectures using Quarkus and MicroProfile Reactive Messaging. Learn through live coding, showcasing patterns and development techniques.