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UID:dataplusai.academy/masterclass-kafka-spark-flink.html
DTSTAMP:20260516T151834Z
DTSTART;VALUE=DATE:20260516
DTEND;VALUE=DATE:20260524
SUMMARY:Real-time Data Engineering Masterclass
DESCRIPTION:### Overview\nThis masterclass series focuses on real-time data engineering using the most widely adopted streaming technologies. Hosted by Data + AI Academy\, the event is designed for practitioners who want to move beyond tutorials and gain a practical\, systems-level understanding of streaming infrastructure. The program centers on Apache Kafka\, Apache Spark\, Apache Flink\, and Apache Iceberg\, with emphasis on building end-to-end real-time data pipelines and understanding the architectural decisions that underpin production-grade streaming platforms. The sessions are intended for engineers across data\, platform\, and SRE roles who are ready to dive into the internals of streaming systems and the tradeoffs involved in operating them at scale.\n\n### Agenda\nThe series runs across multiple dates\, with weekend evening sessions typically scheduled from 5 to 7 pm. The schedule includes hands-on labs and end-to-end pipeline exercises that participants can follow along in real time. The curriculum emphasizes both theory and practice\, offering a balance between data infrastructure concepts and practical implementation. Specific dates highlighted on the page include several May and June evenings\, forming a progressive track that deepens attendees’ understanding of streaming architectures and data management at scale. Each session introduces core topics such as data infrastructure theory\, streaming pipelines\, system internals\, and real-world use cases. The curriculum also features a dedicated topic section labeled Curriculum\, showcasing technology logos and topics covered in the sessions. \n\n### Topics and Format\nParticipants explore the following core topics:\n- Data Infrastructure Theory: essential elements of data infrastructure and the reasoning behind architectural decisions.\n- Streaming Pipelines: hands-on\, end-to-end streaming workflows that participants can follow during the workshop.\n- System Internals: a theoretical grounding in how streaming components operate under the hood.\n- Hands-on Labs: guided lab exercises that reinforce practical skills for building streaming pipelines.\n- Industry Use-cases: real-world scenarios from fintech\, logistics\, e-commerce\, and analytics to ground learning in practical applications.\n\nThe event uses a blended format that combines talks\, demonstrations\, and live hands-on labs. Instructors guide attendees through exercises using Docker-based lab setups and live coding where possible\, enabling attendees to experiment with streaming components in a safe\, collaborative environment.\n\n### Speakers\nThe masterclass features practitioners from Platformatory:\n- Pavan Keshavamurthy: Co-founder & CTO\, Platformatory. With 15+ years of experience in product and platform engineering\, he works across Apache Kafka\, Apache Flink\, Kong\, and cloud-native infrastructure.\n- Avinash Upadhyaya K R: Platform Engineer\, Platformatory. Specializes in platform engineering with a focus on Apache Kafka\, Kubernetes\, and Kong\, with multi-cloud certifications.\n\n### Who should attend\nThis program is designed for engineers with an existing foundation in data or systems engineering who want to deepen their understanding of streaming technologies and scale-oriented architecture. It is suitable for data engineers\, platform engineers\, SREs\, and developers looking to go beyond tutorials and build production-grade streaming solutions.\n\n### Venue and Accessibility\nThe event is held in Bengaluru as an in-person\, free-to-attend session series at the 43 Workspace & Events venue. Attendees can register their interest to receive updates on confirmed dates and agenda details. Contact and registration information are provided on the event page\, including a registration link for interest and a general contact method for inquiries.\n\n### FAQs\n- Is this in-person or online? In-person in Bengaluru. \n- Is there a fee to attend? The page indicates the event is free to attend. \n- What will I learn? Real-world streaming architectures\, hands-on labs\, and end-to-end pipeline development using Kafka\, Spark\, Flink\, and Iceberg.\n\n### Takeaway\nParticipants leave with a practical understanding of streaming systems\, the ability to design and implement real-time data pipelines\, and exposure to industry use-cases that illustrate how these technologies support data-intensive applications at scale.\nhttps://dataplusai.academy/masterclass-kafka-spark-flink.html?ref=ainave
LOCATION:Bengaluru\, India\, IN
URL;VALUE=URI:https://dataplusai.academy/masterclass-kafka-spark-flink.html?ref=ainave
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