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Unified Real-Time Data Processing Architecture Pattern for Multi-Dimensional Data Problems

Abstract

In this session, learn about the multi-dimensional data problems faced by enterprises today and how to tackle them by building high-performance cloud-native applications written in Java, C++, C#, Python or Scala that combine real-time processing of event streams, data in motion and at rest with powerful distributed computing capabilities.

Bio

Rajiv Shah is a seasoned enterprise architect with over 25 years of experience in architecting, designing, and developing high-performance applications for banking (trading platforms, risk analysis, algorithmic options/hedging strategies, etc.), airline, and e-commerce industries.

He is still very hands-on and actively codes in Java, Scala, Python, and Spark, and works with machine learning, databases, big data, streaming (Kafka, RabbitMQ, others), containerization, and cloud technologies.

He has 25+ IT certifications (including 7 Java certificates from the Oracle Corporation) and was also invited to prepare the test materials for the Oracle Certified Enterprise Architect examination.

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Rajiv Shah