Remove 2012 Remove Data Analytics Remove IoT Remove Testing
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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

The solution consists of the following interfaces: IoT or mobile application – A mobile application or an Internet of Things (IoT) device allows the tracking of a company vehicle while it is in use and transmits its current location securely to the data ingestion layer in AWS. The ingestion approach is not in scope of this post.

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Data load made easy and secure in Amazon Redshift using Query Editor V2

AWS Big Data

Analysts performing ad hoc analyses in their workspace need to load sample data in Amazon Redshift by creating a table and load data from desktop. They want to join that data with the curated data in their data warehouse. He helps customers architect data analytics solutions at scale on the AWS platform.

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. AWS rolls out SageMaker, designed to build, train, test and deploy machine learning (ML) models. 2018: IoT and edge computing open up new opportunities for organizations. Google announces Cloud IoT.

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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

Furthermore, we also showed how CDC data can be processed rapidly after generation, using a simple SQL interface that enables customers to perform near real-time analytics on variety of data sources (e.g., Internet-of-Things [ IoT] devices, system telemetry data, or clickstream data) from a busy website or application.