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Cloudera Cloudera

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As streaming architectures are on the rise, enterprises are struggling to match the pace and scale up accordingly. However, Apache Kafka has emerged as a winner amongst the major stream processing engines since it can do wonders for a scalable streaming architecture provided it is set up, configured, and implemented appropriately. 

Attend this webinar to listen to one of the original Kafka team members and a leader in this space, Renu Tewari explain –

  • Key challenges an enterprise is bound to face with streaming architectures

  • How to overcome those challenges with an effective Kafka implementation

  • Review practical use cases and explain their successes and failures.

Speakers

Director of Product Marketing

Dinesh Chandrasekhar

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Dinesh Chandrasekhar is a technology evangelist, a thought leader and a seasoned product marketer with over 24+ years of industry experience. He has an impressive track record of taking new integration/mobile/IoT/Big Data products to market with a clear GTM strategy of pre-and-post launch activities. Dinesh has extensive experience working on enterprise software as well as SaaS products delivering sophisticated solutions for customers with complex architectures. As a Lean Six Sigma Green Belt, he has been the champion for Digital Transformation at companies like Software AG, CA Technologies and IBM. Dinesh’s areas of expertise include IoT, Application/Data integration, BPM, Analytics, B2B, API management, Microservices, and Mobility. He is proficient in use cases across multiple industry verticals like retail, manufacturing, utilities, and healthcare. He is a prolific speaker, blogger, and a weekend coder. He currently works at Cloudera, managing their Data-in-Motion product line. He is fascinated by new technology trends including blockchain and deep learning. Dinesh holds an MBA degree from Santa Clara University and a Master’s degree in Computer Applications from the University of Madras.

Director of Engineering

Renu Tewari

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