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Data Engineering Roadmap, Learning Path,& Career Track 2025

ProjectPro

The first step is to work on cleaning it and eliminating the unwanted information in the dataset so that data analysts and data scientists can use it for analysis. That needs to be done because raw data is painful to read and work with. Best suited for those looking for Platform-as-a-service (PaaS) provider.

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Your Step-by-Step Guide to Become a Data Engineer in 2025

ProjectPro

Similarly, companies with vast reserves of datasets and planning to leverage them must figure out how they will retrieve that data from the reserves. A data engineer a technical job role that falls under the umbrella of jobs related to big data. And data engineers are the ones that are likely to lead the whole process.

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30+ Data Engineering Projects for Beginners in 2025

ProjectPro

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? No, that is not the only job in the data world. Build your Data Engineer Portfolio with ProjectPro! by ingesting raw data into a cloud storage solution like AWS S3.

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The Ultimate Guide to Getting Started with AWS Athena in 2025

ProjectPro

Using familiar SQL as Athena queries on raw data stored in S3 is easy; that is an important point, and you will explore real-world examples related to this in the latter part of the blog. It is compatible with Amazon S3 when it comes to data storage data as there is no requirement for any other storage mechanism to run the queries.

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AWS Glue-Unleashing the Power of Serverless ETL Effortlessly

ProjectPro

But this data is not that easy to manage since a lot of the data that we produce today is unstructured. In fact, 95% of organizations acknowledge the need to manage unstructured raw data since it is challenging and expensive to manage and analyze, which makes it a major concern for most businesses.

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10 MLOps Projects Ideas for Beginners to Practice in 2025

ProjectPro

It is designed to handle large files, data sets , machine learning models, metrics, and code. ButterFree : A tool to build feature stores to help transform raw data into feature stores. It is used to build ETL pipelines for Feature Stores using Apache Spark.

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Snowflake Architecture and It's Fundamental Concepts

ProjectPro

Provides Powerful Computing Resources for Data Processing Before inputting data into advanced machine learning models and deep learning tools, data scientists require sufficient computing resources to analyze and prepare it. Amazon Web Services , Google Cloud Platform, and Microsoft Azure support Snowflake.