Remove Data Analytics Remove Data Architecture Remove Internet of Things Remove IoT
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A Step Ahead: IoT Data Characteristics — Seven Vs

TDAN

IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing, and data analytics. One of the keys in the success of IoT is the data that flows underneath these technologies.

IoT 52
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Uplevel your data architecture with real- time streaming using Amazon Data Firehose and Snowflake

AWS Big Data

Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating.

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

AWS Big Data

This is the first post to a blog series that offers common architectural patterns in building real-time data streaming infrastructures using Kinesis Data Streams for a wide range of use cases. All these architecture patterns are integrated with Amazon Kinesis Data Streams.

Analytics 111
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Surviving Radical Disruption with Data Intelligence

erwin

And this time sensitivity is a massive issue, as taking a proactive and data-driven approach can literally mean life or death to your business or to your customers. And that’s where data analytics can play a huge role.

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Meet the newest Data Superheros: The Sixth Annual Data Impact Awards Finalists Are…

Cloudera

These thought leaders in data management and analytics represent all areas of the industry from executives and industry analysts to professors and media experts. However, this year, it is evident that the pace of acceleration to modern data architectures has intensified. ” – Cornelia Levy-Bencheton. .”

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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

For nearly a decade, it’s provided a venue for developers, data and ML engineers, data architects, data scientists, and others to acquire or hone skills, explore provocative ideas, and network with peers. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics.

IoT 20