Course Description
The importance of data processing architectures and data visualization to successfully implement real-time big data analytics solutions in Azure cannot be overstated. This course covers the Lambda architecture and Azure Stream Analytics.
Learning Objectives
The Lambda Architecture
- start the course
- recognize what the Lambda architecture is and how it is used
- list considerations for the Lambda batch layer design
- identify considerations for the Lambda serving layer design
- list considerations for the Lambda speed layer design
- recognize the key capabilities and limitations of the Lambda architecture
- recognize the difference between Lambda and Kappa architectures
Real-time Analytics Processing Solutions
- recognize traditional data analytics approaches and how they differ from streaming solutions
- recognize how value is generated through real-time data analytics solutions
- identify how Azure Stream Analytics work
- recognize the benefits and capabilities of Azure Stream analytics
- compare Apache Storm and Azure Stream Analytics
- recognize the Azure architecture and the various components of data sources, integration, and real-time analytics
- recognize the Azure output storage and consumption components
- design reference data streams from Blob Storage
- design and configure stream reference data from Event Hubs and IoT source
- store and view Stream Analytics jobs
Big Data Visualization Tools
- visualize big data with Power Pivot
- visualize big data with Power View
- create custom reports with SQL Server Reporting Services
Practice: Real-time Analytics Processing
- recognize the features of the Lambda architecture and the capabilities of Azure Stream