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10 MongoDB Mini Projects Ideas for Beginners with Source Code

ProjectPro

MongoDB Inc offers an amazing database technology that is utilized mainly for storing data in key-value pairs. Such flexibility offered by MongoDB enables developers to utilize it as a user-friendly file-sharing system if and when they wish to share the stored data. Which applications use MongoDB Atlas?

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Data Engineering Roadmap, Learning Path,& Career Track 2025

ProjectPro

Good skills in computer programming languages like R, Python, Java, C++, etc. Good knowledge of various machine learning and deep learning algorithms will be a bonus. Depending on the company you want to work with, you will be asked to learn them deeply. For machine learning, an introductory text by Gareth M.

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Bringing Automation To Data Labeling For Machine Learning With Watchful

Data Engineering Podcast

In this episode founder Shayan Mohanty explains how he and his team are bringing software best practices and automation to the world of machine learning data preparation and how it allows data engineers to be involved in the process. The Machine Learning Podcast helps you go from idea to production with machine learning.

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Optimize Your Machine Learning Development And Serving With The Open Source Vector Database Milvus

Data Engineering Podcast

For machine learning applications relational models require additional processing to be directly useful, which is why there has been a growth in the use of vector databases. The Machine Learning Podcast helps you go from idea to production with machine learning.

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AWS Data Pipeline vs.Glue- Battle of the Best AWS ETL Tools

ProjectPro

AWS services are popular among businesses for various purposes, including machine learning, data analytics, cloud-native development, application migration, and many others. Access Data Science and Machine Learning Project Code Examples PREVIOUS NEXT < AWS Glue supports Amazon Athena , Amazon EMR, and Redshift Spectrum.

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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

AI data engineers tend to focus primarily on AI, generative AI (GenAI), and machine learning (ML)-specific needs, like handling unstructured data and supporting real-time analytics. Let’s dive into the tools necessary to become an AI data engineer. These frameworks are used to bring AI models into production and to conduct research.

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15 of the Best Data Science Roles to pursue Right Now

ProjectPro

They create and test scalable big data ecosystems for businesses so that most data scientists and machine learning engineers may run their algorithms on reliable and well-optimized data platforms. Data Architect - Key Skills Solid understanding of programming languages like Java, Python, R, or SQL.