How Uber Uses Kafka And Spark | Spark Real-Time Data Streaming Explained | #Shorts | #Simplilearn

🔥AWS Solution Architect Certification Training - https://www.simplilearn.com/cloud-computing/aws-solution-architect-associate-training?utm_campaign=BKwWx9MWTow&utm_medium=ShortsDescription&utm_source=Youtube 🔥Partnership is with IITM Pravartak - AI-Powered Cloud Computing and DevOps Certification Program - https://www.simplilearn.com/ai-cloud-computing-and-devops-course?utm_campaign=BKwWx9MWTow&utm_medium=ShortsDescription&utm_source=Youtube 🔥AWS Cloud Architect Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/aws-cloud-architect-certification-training-course?utm_campaign=BKwWx9MWTow&utm_medium=ShortsDescription&utm_source=Youtube Have you ever opened your Uber app and wondered how it always knows exactly where your driver is — even when they are moving really fast through traffic? The answer is something called streaming data, and it is one of the most powerful concepts in modern technology today. Apps like Uber deal with millions of users and thousands of drivers all at the same time, and they need a system that can handle all that information without slowing down even for a second. This is where tools like Apache Kafka and Apache Spark come into the picture. Kafka works like a super fast messaging system — it collects location data, ride requests, and driver updates every single second and passes them along instantly. Spark then takes all that data and processes it in real time so that your app always shows the latest and most accurate information. In this short video, Sakshi breaks down this entire concept in just 60 seconds using simple everyday language so that even a non-tech person can understand it. If you are a student, a developer, or someone who is just curious about how technology works behind the scenes, this video is perfect for you. Make sure you like, share, and follow for more such simple tech explanations every week! #Kafka #ApacheKafka #Spark #ApacheSpark #StreamingData #RealTimeData #UberTech #SystemDesign #DataEngi