5, 10 or 20 seats+ for your team - learn more
You’re the star data engineer at Free Power Corporation Limited (FPCL). The London-based power company is interested in gaining insight into its customers’ energy usage patterns, and it’s up to you to deliver a data-rich solution that satisfies the requirements of FPCL’s various teams. You’ll create a streaming Spark application to read the consumer event stream from Kafka, you’ll add information that helps the teams determine when data was generated, ingested, and processed, and you’ll write logic to reorder any late or out-of-order data. To provide vital household energy consumption statistics to the sales and electrical engineering teams, you’ll join Kafka data streams and perform complex computations on the resulting stream. To be sure your solution is ready for the teams to use, you’ll test it on the local Spark cluster. When you’ve finished, you’ll have learned advanced stream processing skills that empower you to meet the different business requirements of various enterprise departments.
This liveProject is for basic Scala developers and data engineers who want to learn advanced real-time data streaming skills using Apache Spark and Kafka. To begin these liveProjects you’ll need to be familiar with the following:
TOOLSgeekle is based on a wordle clone.