
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.

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

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

Explore real-time analytics in aviation using Microsoft Fabric's Real-time Analytics. Learn data integration, visualization with Power BI, and swift decision-making techniques.

Discover five common data misrepresentation techniques and learn to communicate complex information clearly and accurately in today's information-driven world.

Explore diverse analytics architectures, their pros and cons, and how Microsoft Fabric supports their implementation for effective data analysis.

Explore common statistical and data science pitfalls, learning to identify and avoid crucial errors in analysis and interpretation.

Implement specific measures and KPIs to track Microsoft Fabric and Power BI adoption, enhancing data-driven decision making and organizational performance.

Master efficient Power BI project management and deployment using Git integration. Learn techniques for streamlined workflows and version control in Power BI development.

Explore Kusto's graph capabilities in Azure Data Explorer, learning to create and query graphs with intuitive syntax for enhanced time series analysis.

Discover the key differences between exploratory and explanatory dashboards, and learn how to effectively design and implement each type for optimal data visualization.

Explore real-time data streaming with Apache Kafka and Swim. Learn about stateful business logic, stream processing, and creating dynamic UIs for actionable insights from distributed data sources.

Learn to create powerful data pipelines by combining Apache Kafka and InfluxDB for real-time processing, analysis, and visualization of large-scale data, especially in IoT applications.

Develop a Streamlit data app to visualize advertising ROI using Snowpark Python. Learn data ingestion, transformation, ML modeling, and interactive visualization techniques.

從零開始學習如何使用Prometheus和Grafana為私有雲Kubernetes建立監控系統,並了解常用CRDs以創建自定義監控報表。

探索如何利用Grafana生態系打造高可用、可擴充的監控平台,涵蓋metrics、logging和tracing,並與常見解決方案比較優勢。

Instrument, collect, and visualize telemetry data using OpenTelemetry in Golang applications. Learn strategies for effective implementation and data analysis.

探索Grafana Alloy的多租户設計、性能優化和端到端追蹤,學習實施最佳實踐以提升監控和可觀察性能力。

Explore innovative Python tools and data storytelling techniques to create engaging, impactful presentations. Learn to combine interactivity and memorability for more effective communication.