Microsoft Cloud Workshop: Real-time data with Azure Database for PostgreSQL Hyperscale
- Codice corso: 40563G
- Durata corso: 1gg
In this workshop, you will learn how to use advanced features of the managed PostgreSQL PaaS service on Azure to make your database more scalable and able to handle the rapid ingest of streaming data while simultaneously generating and serving pre-aggregated data for reports. You will design a resilient stream processing pipeline to ingest, process, and save real-time data to Postgres. Next, you will learn how to explore and gain insights from flat files at scale, perform aggregates, and save the valuable information to your database. Finally, you will create complex reports containing advanced visualizations, using a drag-and-drop interface, and use them to build a customizable dashboard that gets updated in real-time.
This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services as described in the ‘About this Course’ and ‘At Course Completion’ areas. Those attending this workshop should also be experienced in other non-Microsoft cloud technologies, meet the course prerequisites, and want to cross-train on Azure.
Obiettivi del corso
At the end of this workshop, you will be better able to:
Implement a highly scalable, managed open source database solution.
Ensure that it can handle real-time, roll-up and serve data for advanced visualizations.
Struttura del Corso
MODULE 1: Whiteboard Design Session - Real-time data with Azure Database for PostgreSQL Hyperscale
Review the customer case study
Design a proof of concept solution
Present the solution
MODULE 2: Hands-on Lab - Real-time data with Azure Database for PostgreSQL Hyperscale
Connect to and set up your database
Add secrets to Key Vault and configure Azure Databricks
Send clickstream data to Kafka and process it in real time
Rollup real-time data in PostgreSQL
Create advanced visualizations in Power BI