Data Transformation Internet of Things Modeling 
AWS Big Data
NOVEMBER 22, 2024
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. This saves time and effort, especially for teams looking to minimize infrastructure management and focus solely on data modeling.
datapine
MAY 2, 2023
In an interview with the Wall Street Journal, Matthias Winkenbach , director of MIT’s Megacity Logistics Lab, details how last-mile analytics are yielding useful data. However, big data and the Internet of Things could give delivery drivers and managers a much better idea of how they can reduce costs due to perished goods.
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AWS Big Data
JANUARY 15, 2025
Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).
Sisense
MAY 11, 2021
You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.
CIO Business Intelligence
JANUARY 24, 2024
Data silos result in inconsistencies and operational inefficiencies, says John Williams, executive director of enterprise data and advanced analytics at RaceTrac, an operator of convenience stores. Their large language models have poor or dirty data. Data cleansing tools are one way to address the problem, Johnson says.
CIO Business Intelligence
JUNE 13, 2022
According to Evanta’s 2022 CIO Leadership Perspectives study, CIOs’ second top priority within the IT function is around data and analytics, with CIOs seeing advancing organizational use of data as key to reaching enterprise objectives. Angel-Johnson shares that perspective. “I Colisto says he’s seizing on those opportunities. “IT
AWS Big Data
APRIL 11, 2023
Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. Finally, we can use Amazon SageMaker to build forecasting models that can predict inventory demand and optimize stock levels.
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