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Top Big Data Tools You Need to Know in 2023

Knowledge Hut

Volume : Refers to the massive data that organizations collect from various sources like transactions, smart devices (IoTs), videos, images, audio, social media and industrial equipment just to name a few. Smart meters like RFID tags, sensors and smart meters are helping to deal with this in almost real-time.

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A Beginner’s Guide to Learning PySpark for Big Data Processing

ProjectPro

Yahoo utilizes Apache Spark's Machine Learning capabilities to customize its news, web pages, and advertising. They use Pypark to determine what kind of news readers are interested in reading. Also, PySpark helps them categorize the news stories to determine who would be interested in reading each news category.

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies. billion users.

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20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Ability to adapt to new big data tools and technologies.