Apache Kafka for Beginners: What Problem Does Kafka Solve? скачать в хорошем качестве

Apache Kafka for Beginners: What Problem Does Kafka Solve?

In this video, we will discuss the fundamental reasons why Apache Kafka was created and the specific problems it solves in the world of data engineering. We'll look back at the challenges of managing complex, real-time data pipelines before Kafka, using examples similar to what LinkedIn faced, and then clearly illustrate how Kafka's architecture provides a scalable, reliable, and decoupled solution for modern data streaming needs. This is a key concept for anyone starting their journey with Apache Kafka for beginners. Topics covered: What problems existed with data pipelines before Apache Kafka? Why did LinkedIn create Kafka initially? How did systems communicate data in real-time before Kafka, and what were the drawbacks? How does Apache Kafka solve the scalability issues in data integration? What is the difference between data flow before Kafka and with Kafka? What are Kafka Producers and Consumers in simple terms? How does a Kafka Cluster act as a central hub for data exchange? Why is decoupling systems important, and how does Kafka help achieve it? Is Apache Kafka essential for real-time data processing and analytics? Check out the full "Apache Kafka for Beginners" playlist here:    • Apache Kafka for Beginners: Zero to H...   Previous Video:    • Real-Time Data Processing Explained: ...   Next Video:    • What is Apache Kafka? Key Features fo...   👍 If you found this explanation helpful, please like this video and share it with others learning Kafka! 🔔 Subscribe to ITVersity for more tutorials on Data Engineering, Apache Kafka, Generative AI, and other tech topics. 💬 Let us know your questions or suggestions in the comments below! Connect with Us: Newsletter: http://notifyme.itversity.com LinkedIn:   / itversity   Facebook:   / itversity   Twitter:   / itversity   Instagram:   / itversity   Join this channel to get access to perks:    / @itversity   #dataengineering #cloudcomputing #ApacheKafka #RealTimeData #DataPipelines