In this episode of PithorAcademy Presents: Deep Dive, we explore the world of stream processing and how popular frameworks like Kafka Streams, Apache Spark, and Apache Flink handle data. Understanding the differences between batch, near-real-time, and real-time systems helps developers pick the right tool for the job.We cover:Kafka Streams vs Spark vs Flink – strengths and use casesBatch vs near-real-time vs real-time – processing models explainedKafka’s role in the stream processing ecosystem – where it fits and why it mattersBy the end, you’ll understand the streaming landscape and how these tools compare when building real-time, data-driven applications. Listen on Your Favorite Platform:Spotify: https://open.spotify.com/show/4WwstTvCBb18IKyqGVHYAUAmazon Music: https://music.amazon.com/podcasts/0c4eac7c-e695-49b4-b825-595fface346b/pithoracademy-presents-deep-diveYouTube Music: https://music.youtube.com/channel/UCMO9B2qiqsyC3ui4Vk4P7IgApple Podcasts: https://podcasts.apple.com/us/podcast/pithoracademy-presents-deep-dive/id1827417601JioSaavn: https://www.jiosaavn.com/shows/pithoracademy-presents-deep-dive/1/J4wBuNvwFro Connect with Us:Website: https://www.pithoracademy.com/Facebook: https://www.facebook.com/PithorAcademyInstagram: https://www.instagram.com/pithoracademy/LinkedIn: https://www.linkedin.com/company/pithoracademy#StreamProcessing #Kafka #ApacheKafka #ApacheSpark #ApacheFlink #KafkaStreams #RealTimeData #KafkaVsSparkVsFlink #DataEngineering #KafkaForBeginners #StreamProcessingExplained #BatchVsStreaming #RealTimeAnalytics #KafkaTutorial #PithorAcademy #PithorAcademyPodcast #PithorAcademyDeepDive