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How the Edge Is Changing Data-First Modernization

CIO Business Intelligence

The concept of the edge is not new, but its role in driving data-first business is just now emerging. The advent of distributed workforces, smart devices, and internet-of-things (IoT) applications is creating a deluge of data generated and consumed outside of traditional centralized data warehouses.

IoT 82
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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

The destination can be an event-driven application for real-time dashboards, automatic decisions based on processed streaming data, real-time altering, and more. Using a data stream in the middle provides the advantage of using the time series data in other processes and solutions at the same time.

Analytics 115
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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty. And more recently, we have also seen innovation with IOT (Internet Of Things). It definitely depends on the type of data, no one method is always better than the other.

Insurance 150
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Join a streaming data source with CDC data for real-time serverless data analytics using AWS Glue, AWS DMS, and Amazon DynamoDB

AWS Big Data

Traditional batch ingestion and processing pipelines that involve operations such as data cleaning and joining with reference data are straightforward to create and cost-efficient to maintain. You will also want to apply incremental updates with change data capture (CDC) from the source system to the destination. mode("append").save(s3_output_folder)