Managing a Distributed Electrical Grid in Real Time with Kafka you own this product

prerequisites
advanced Java/Scala • basics of JVM build systems • basics of Docker • basics of Apache Kafka
skills learned
fundamentals of IoT stream processing with Kafka Streams • schema management & evolution with Apache Avro • building distributed query engine to support real-time energy grids
Jesse Yates
5 weeks · 6-10 hours per week · INTERMEDIATE
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Look inside
In this liveProject, you'll take on the role of a backend data engineer working for a rapidly growing startup. Your company installs battery packs for solar panels, as well as IoT devices monitor energy usage. These devices can help users and utilities companies better manage their energy, saving your customers money and providing clean power to the wider grid. You’ve been given a big task: build the infrastructure from the ground up that can handle the streaming events of thousands of these IoT devices. This infrastructure will be expected to scale as your company grows, and so your team has chosen to work with Apache Kafka for stream processing of all the data. Your challenges will include efficiently ingesting IoT events, managing corner cases in IoT data processing, developing fleet-wide monitoring, and providing REST services to answer questions about battery energy capacity.

A percentage of every sale of this liveProject will be donated to the Rocky Mountain Institute to support their good work towards a zero-carbon future.
This project is designed for learning purposes and is not a complete, production-ready application or solution.
liveProject mentor Sachin Rastogi shares what he likes about the Manning liveProject platform.

project author

Jesse Yates
Jesse Yates is a Staff Engineer at Tesla and leads the development of real-time stream processing on the Data Platform Team. Prior to Tesla, Jesse created a real-time IoT data startup, helped Salesforce build the first enterprise-grade Apache HBase installation, and consulted on healthcare, defense, and cross-cloud analytic projects. He is also a committer on Apache HBase and a PMC member of Apache Phoenix, both big data storage and query projects.

prerequisites

For developers with several years of Java or Scala experience and an understanding of the core principles of Apache Kafka. Knowledge of web-servers, databases, build systems and Docker will be helpful, but not essential.

TOOLS
  • Intermediate with Java/Scala
  • Basics of Maven, SBT, or other JVM build systems
  • Basics of Docker
  • Basics of Apache Kafka

TECHNIQUES
  • Basics of partitioning and hashing data
  • Basics of pub/sub system design

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