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IoT Streaming Fundamentals Webinar

Date & Time

15th July 2026, 09:00 AM PT | 09:30 PM IST

Venue

Online

Accelerate Business Value with IoT Streaming Analytics

As IoT ecosystems generate massive volumes of real-time data, organizations need scalable streaming architectures to process, analyze, and act on information instantly. Traditional batch-processing methods often struggle to meet the speed and responsiveness required for modern connected environments.

In this webinar, we explored the fundamentals of IoT streaming, including real-time data pipelines powered by technologies such as MQTT and Kafka. Attendees gained insights into the business value of real-time analytics, reference architectures, and practical IoT use cases across smart manufacturing, utilities, and industrial environments.

Webinar Highlights

  • What is IoT streaming and how does it enable real-time connected ecosystems?
  • How do MQTT, Kafka, and analytics engines power real-time IoT data pipelines?
  • Discover how streaming analytics drives predictive maintenance and operational efficiency
  • Explore scalable IoT architectures and real-world smart industry use cases

Webinar Ideal For

  • IoT Solution Architects
  • IoT Developers and Engineers
  • Cloud Architects and Cloud Engineers
  • Data Engineers and Streaming Data Specialists

Our Presenters

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    Adithya

    Adhithya N

    Data Strategist

    Data Analyst Lead with 15 years of overall IT experience, including 5 years specializing in data analysis and advanced analytics. He focuses on designing and building scalable data platforms and end-to-end pipelines that enable organizations to derive meaningful insights and drive data-driven decision-making.As a technical leader, Adhithya has extensive experience in modern data ecosystems, leveraging technologies like Databricks, Azure, and Spark to deliver robust ETL solutions, real-time data processing, and optimized analytics workflows.

    raman nagrajan ()

    Ramana Nagarajan  

    Data Strategist

    Ramana Nagarajan is a seasoned Data Strategist with nearly two decades of experience in data and analytics, specializing in end-to-end enterprise data solutions across design, architecture, engineering, governance, and privacy. With deep expertise in multi-cloud environments including Azure, AWS, and GCP, he focuses on building data trust through strong data quality practices and Master Data Management. He has delivered high-impact, data-driven outcomes across Manufacturing, Healthcare, BFSI, Telecom, Geophysical, and Retail.