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Predictive analytics helps Fresenius anticipate dialysis complications

CIO Business Intelligence

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. Waguespack adds that the project has been another step in Fresenius Medical Care’s ongoing digital transformation.

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The 6 Layers of an IoT Solution

CDW Research Hub

Your first thought about the Internet of Things (IoT) might be of a “smart” device or sensor. Data collection: IoT infrastructure often serves as the nucleus to integrate data from multiple sensors— and this data must be modeled processed to achieve your desired outcome.

IoT 89
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9 ways IT leaders can impact sustainability initiatives

CIO Business Intelligence

A team of researchers from Lancaster University, along with sustainability consultancy Small World Consulting, published a 2021 report indicating that IT contributes to as much as 1.2% They are looking for data quality and accuracy to measure carbon footprint, supply chain optimization, and green revenue in real time.”

IT 117
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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

The world is moving faster than ever, and companies processing large amounts of rapidly changing or growing data need to evolve to keep up — especially with the growth of Internet of Things (IoT) devices all around us. Every data professional knows that ensuring data quality is vital to producing usable query results.

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3 Takeaways from Gartner’s 2018 Data and Analytics Summit

DataRobot Blog

For those of you who did not attend the summit, we have cited Gartner research as the sessions predominantly reflected the most recent Gartner published papers. Today, data integration is moving closer to the edges – to the business people and to where the data actually exists – the Internet of Things (IoT) and the Cloud.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.

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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

Big data calls for complex processing, handling, and storage system, which may include elements such as human beings, computers, and the internet. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Identifying Churn.