Description
Unleashing the Power of Apache Kafka and Flink: Cutting-Edge Hands-on Experience with real life case studiesThis is the only updated Big Data Streaming Course using Kafka with Flink in python! (Course newly recorded with Kafka 3.3.1, Flink 1.14.4, ES 7.17.7) Discover the unrivaled potential of Apache Kafka and the hidden gem of data processing, Flink, in our dynamic course. While Flink may be lesser-known than Spark, it's a powerful tool that surpasses its counterparts in certain aspects. We'll dive deep into Kafka's core concepts, equipping you with the knowledge to build robust streaming pipelines. But we won't stop there - we'll showcase Flink's prowess as we explore real-time data processing and analytics. Rest assured, all hands-on exercises are meticulously crafted using the latest versions of Kafka and Flink. Forget about outdated code or compatibility issues - we ensure you're working with cutting-edge tools, ready to conquer the real world. Although Flink may have a smaller community compared to Spark, this presents a unique opportunity for you to become an early adopter and join the pioneering minds pushing the boundaries of streaming analytics. We'll guide you step-by-step as you build a complete streaming pipeline that captures live Twitter data, processes it in real-time, and unlocks valuable insights. With our carefully crafted exercises, you'll gain practical experience in ingesting, transforming, and analyzing Twitter data using the latest versions of Kafka and Flink. Imagine harnessing the pulse of social media to gain actionable insights, all in real-time. From sentiment analysis to trending topics, you'll explore the limitless possibilities of Twitter data analytics. So, step into the future of stream data processing with Kafka and Flink. Enroll now to gain an edge in the industry, with hands-on expertise on the latest versions of these powerful tools. Don't miss out on this transformative learning experience - the world of real-time data awaits!
