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This article was published as a part of the Data Science Blogathon. Introduction to DataEngineering In recent days the consignment of data produced from innumerable sources is drastically increasing day-to-day. So, processing and storing of these data has also become highly strenuous.
By Kanwal Mehreen , KDnuggets Technical Editor & Content Specialist on July 4, 2025 in MachineLearning Image by Author | Canva If you like building machinelearning models and experimenting with new stuff, that’s really cool — but to be honest, it only becomes useful to others once you make it available to them.
Image Source: GitHub Table of Contents What is DataEngineering? Components of DataEngineering Object Storage Object Storage MinIO Install Object Storage MinIO Data Lake with Buckets Demo Data Lake Management Conclusion References What is DataEngineering?
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This article was published as a part of the Data Science Blogathon. Machinelearning and artificial intelligence, which are at the top of the list of data science capabilities, aren’t just buzzwords; many companies are keen to implement them.
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Airbyte, creators of a fast-growing open-source data integration platform, made available results of the biggest dataengineering survey in the market which provides insights into the latest trends, tools, and practices in dataengineering – especially adoption of tools in the modern data stack.
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The data repository should […]. The post Basics of Data Modeling and Warehousing for DataEngineers appeared first on Analytics Vidhya. Even asking basic questions like “how many customers we have in some places,” or “what product do our customers in their 20s buy the most” can be a challenge.
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The post Feature Scaling for MachineLearning: Understanding the Difference Between Normalization vs. Standardization appeared first on Analytics Vidhya. Introduction to Feature Scaling I was recently working with a dataset that had multiple features spanning varying degrees of magnitude, range, and units.
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By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, MachineLearning, AI & Analytics straight to your inbox.
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Sounds can become wrangled within the data science field through. The post Visualizing Sounds Using Librosa MachineLearning Library! appeared first on Analytics Vidhya.
The world’s leading publication for data science, AI, and ML professionals. In this post, I’ll show you exactly how I did it with detailed explanations and Python code snippets, so you can replicate this approach for your next machinelearning project or competition.
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