In this project, you're building a microservices-based e-commerce application. One crucial microservice, `Product-Service`, handles product data management and serves product details to the front end.
rating (senior dev at General Motors)
⭐⭐⭐⭐
Expected Duration
2 Hours
what gm's senior developer says
Kubernetes have become very important in making big data pipelines and it's great to learn for anyone looking to get into data or backend engineering. I'll be really happy to review your project.
what you can put on your resume
1. Deployed the `product-service` containerized application to a Kubernetes cluster 2. Scaled the service horizontally based on CPU usage to ensure more than 90% responsiveness during peak loads. 3. Expose the service externally so the front end can access it. 4. Improved reliability of product data by 20% using a persistent volume claim for data storage.
how to start
You've to register in the form below and then you'll get access to the simulation and guided steps by email. The simulation is 100% free for all students and you'll get feedback on your project from Meta's senior dev. You can collaborate with other programmers in our community to complete this project. Impress the senior dev with your project to get a referral.
In this project, you'll have to extract meaningful insights from the vast amount of data collected by airlines during their operations. Some key areas will be in finding the root cause of delays, forecasting flight schedules, assessing the profitability of routes, and so on.
rating (senior dev at Comcast)
⭐⭐⭐
Expected Duration
4 Hours
what comcast's senior developer says
Hadoop and Apache Spark are used in the day-to-day work of backend or data engineer in a big tech company. It'll be really impressive to see any student completing this challenging project. All the best to anyone who does this.
what you can put on your resume
1. Processed and Analyzed 1 TB of airline data using Hadoop, Hive, Pigs, and Athena. 2. Utilized Hadoop for distributed storage and processing of massive datasets, achieving 99% data reliability and 50% faster performance compared to traditional methods. 3. Demonstrated use of big data solutions to improve airline operations, which can result in a 20% increase in customer satisfaction and a 10% reduction in operational costs
how to start
You've to register in the form below and then you'll get access to the simulation and guided steps by email. The simulation is 100% free for all students and you'll get feedback on your project from Meta's senior dev and you can collaborate with other programmers in our community to complete this project. Impress the senior dev with your project to get a referral.
You'll get an email containing details of simulation within 12 hours after you register and you'll be contacted by our team member to guide you through all the challenges of simulation and to answer your questions.
What are some learning outcomes and benefits of this simulation?
You'll solve actual big data challenges that will boost your resume and you will get feedback from senior developers on your algorithmic thinking, problem solving approach and code design and finally you have a chance to get a referral.
How can I participate in the simulation?
Just register by filling the google form and then you will be able to start working on the project.
What experience am I expected to have to complete this?
This project is open to anyone interested in improving their data engineering skills. Some background in data analysis is preferred.
Is this really free?
Yes, it's 100% free to all students and at no point in your journey, we'll ask for any fees.