Emerging Functional and Architecture Patterns

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This training will allow us to review functionalities and architectural patterns of Edge Computing Platforms for IoT. We will start with defining the 'edge' in contrast to the 'cloud' and by extension, offer a few guidelines on what type of analytics fits in each layer, based on latency, device characteristics, etc. We will deep-dive into the capabilities of the stream processing engine for edge computing & architectural tradeoffs with respect to use cases like complex event processing and .. continue reading cognitive analytics (machine learning). Finally, we will touch upon the need to ensure data security when designing an edge-computing infrastructure. To illustrate the components, features and architectural patterns, we will use AWS cloud platform as a reference.Key takeaways: Take away ideas to implement your own Edge Analytics Platforms and the relevant best practices, Understand what capabilities you should look for in an Edge Analytics Platform for your project.


02:00 PM - 05:00 PM General Hours

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Paid Ticket Starts from 2999 INR View Details


upto 100 DelegatesEstimated Count

Category & Type

Electric & Electronics
IT & Technology


27 Feb 2019

Frequency One-time

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EFY Enterprises Private Limited India

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Student at Anna University Chennai, India
Pallavi mahida

Pallavi mahida

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Asutosh Agrawal

Asutosh Agrawal

Student (B.Arch) at Kiit School of Architecture and Planning Bhubaneswar, India


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sneha keshri

Architect at Training Bengaluru, India
Ar Rajpal

Ar Rajpal

Principal at Peaceful by DESIGN Nagpur, India

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