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Data Abstraction for Data Engineering with its Different Levels

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A data model is an abstraction of real-world events that we use to create, capture, and store data in a database that user applications require, omitting unnecessary details.

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Object-centric Process Mining on Data Mesh Architectures

Data Science Blog

New big data architectures and, above all, data sharing concepts such as Data Mesh are ideal for creating a common database for many data products and applications. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Data Modeling Fundamentals in Power BI

phData

While the front-end report visuals are important and the most visible to end users, a lot goes on behind the scenes that contribute heavily to the end product, including data modeling. In this blog, we’ll describe data modeling and its significance in Power BI. What is Data Modeling?

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Maximizing Your Data Fabric’s ROI via Entity Data Modeling

Dataversity

They deliver a single access point for all data regardless of location — whether it’s at rest or in motion. Experts agree that data fabrics are the future of data analytics and […]. The post Maximizing Your Data Fabric’s ROI via Entity Data Modeling appeared first on DATAVERSITY.

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Anomaly Detection in ECG Signals: Identifying Abnormal Heart Patterns Using Deep Learning

Analytics Vidhya

Introduction Depending on the sector and the particular example, anomaly detection entails spotting out-of-the-ordinary or erratic patterns in data to spot undesirable or odd events.

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Master Data Annotation in LLMs: A Key to Smarter and Powerful AI!

Data Science Dojo

Video Annotation It is similar to image annotation but is applied to video data. Video annotation identifies and marks objects, actions, and events across video frames. This enables models to recognize and interpret dynamic visual information. Annotation teaches the model to recognize the correct meaning based on context.

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Remote Data Science Jobs: 5 High-Demand Roles for Career Growth

Data Science Dojo

Key Skills Proficiency in SQL is essential, along with experience in data visualization tools such as Tableau or Power BI. Strong analytical skills and the ability to work with large datasets are critical, as is familiarity with data modeling and ETL processes.