MbShea@PWP@English@UMCP

Audience: Software Engineers / Project Managers who require a software platform for big data processing and are looking to incorporating Kafka as a possible solution. Assumes experience in modern software engineering industry topics.

Context: The amount of data being collected in the modern technology industry is exponentially increasing. Many different software platforms have been created to help software developers manage big data. Kafka is one of these platforms that is gaining popularity, and could bring major benefits a company dealing with large amounts of data.

Purpose: To inform readers on how Kafka works using the official research paper and real work examples. Also provides an evaluation of Kafka compared to similar software platforms based on performance experiments.

Document Type: Review and summary of the original Kafka research paper.

Design Format: Define context. Give a high level overview of Kafka. Introduce the basics of how Kafka works. Show why Kafka solves industry problems. Provide real world examples of how Kafka is used. Compare Kafka to similar platforms such as RabbitMQ and ActiveMQ. Evaluate how well Kafka solves industry issues.

Citation Style: Mix of APA style and referral links.

The ability to handle and make sense of big data is an extremely important process. Big data is everywhere and any system that improves the processing of big data will be very interesting to learn about.

C, can you write this to serve as a writing sample for you, in your job search? This way, you revise your audience a bit, to include managers and even human resources people who are the gate to your process of applying.

How many sources can you develop? Might not be seven, but aim for a good mix.

Can you devote a section to using visualization in Kafka or with adjacent programs?