Remove Analytics Remove Events Remove Internet of Things Remove IoT
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The Internet of Things: Real-Time Data and Analytics Enable Business Innovation

David Menninger's Analyst Perspectives

The emerging internet of things (IoT) is an extension of digital connectivity to devices and sensors in homes, businesses, vehicles and potentially almost anywhere.

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How the Internet of Things and AI will Transform Sports Business?

Smart Data Collective

The time when people had to watch a one-sided sporting event is long gone, viewers can now play the game alongside through the mode of esports. In this article, we are going to look into the two advanced technologies – IoT and AI which have brought some tremendous changes to the sports sector. Track fans’ behavior.

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. Now things are the Internet.”.

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Don’t Rely on Dashboards for Real-Time Analytics

David Menninger's Analyst Perspectives

I have written previously that the world of data and analytics will become more and more centered around real-time, streaming data. Another domain where real-time analyses are critical is internet of things (IoT) applications. Data is created constantly and increasingly is being collected simultaneously.

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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! Before we dive in, we recommend reviewing Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1 for the basic functionalities of Kinesis Data Streams.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

It aims to provide a framework to create low-latency streaming applications on the AWS Cloud using Amazon Kinesis Data Streams and AWS purpose-built data analytics services. In this post, we will review the common architectural patterns of two use cases: Time Series Data Analysis and Event Driven Microservices.

Analytics 113
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Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Cloudera

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality.

IoT 120