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As a member of the development team at Piper Data Concepts, you’ll carry out the final steps of a workflow-improvement project: enabling your client’s staff to gather workflow process information in real-time. Several prototypes have been built, and the client’s workflow is more resilient than ever. You’ll write Python code that consumes messages from Kafka and prepares them for storing in the database, create Postgres queries to access the aggregated data, and build reports in CSV files to be read by visualization tools—and ultimately, your client’s staff. When you’re done, your client’s modern system will provide a feedback loop, enable external API access to status updates, and be ready for more specialized services to be plugged in later, with no code changes.
This liveProject is for developers who understand the usefulness of event-driven architecture and want to learn to implement it. To begin these liveProjects you’ll need to be familiar with the following:TOOLS
In this liveProject, you’ll complete the final steps in developing an event-driven data pipeline.
geekle is based on a wordle clone.