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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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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes. Both data warehouses and data lakes are used when storing big data.

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From data lakes to insights: dbt adapter for Amazon Athena now supported in dbt Cloud

AWS Big Data

The need for streamlined data transformations As organizations increasingly adopt cloud-based data lakes and warehouses, the demand for efficient data transformation tools has grown. Using Athena and the dbt adapter, you can transform raw data in Amazon S3 into well-structured tables suitable for analytics.

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Apache Iceberg optimization: Solving the small files problem in Amazon EMR

AWS Big Data

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

The partners say they will create the future of digital manufacturing by leveraging the industrial internet of things (IIoT), digital twin , data, and AI to bring products to consumers faster and increase customer satisfaction, all while improving productivity and reducing costs.

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What is data architecture? A framework to manage data

CIO Business Intelligence

Beyond breaking down silos, modern data architectures need to provide interfaces that make it easy for users to consume data using tools fit for their jobs. Data must be able to freely move to and from data warehouses, data lakes, and data marts, and interfaces must make it easy for users to consume that data.

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Building a scalable streaming data platform that enables real-time and batch analytics of electric vehicles on AWS

AWS Big Data

The surge in EVs brings with it a profound need for data acquisition and analysis to optimize their performance, reliability, and efficiency. The data can be used to do predictive maintenance, device anomaly detection, real-time customer alerts, remote device management, and monitoring.

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