Cloud Computing and Big Data Technologies

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and big data technologies such as Hadoop and Spark, can greatly enhance the ability to work with large datasets and deploy machine learning models at scale.

Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and big data technologies such as Hadoop and Spark, can greatly enhance the ability to work with large datasets and deploy machine learning models at scale.

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Rutika Bhoir
Grad Student at Umass Amherst

I’m still exploring this area, but one thing I do know is that cloud tools make life so much easier—especially when working with large datasets or building models that need more power. I’ve personally used Google Colab a lot (shoutout to all the assignments I’ve survived because of it). It’s been such a great way to get started with cloud-based development without needing fancy hardware. It’s fast, accessible, and honestly kind of a lifesaver. I don’t know everything about AWS or Spark yet—but I’ve learned that just becoming comfortable with one tool at a time can make a huge difference. You don’t need to master it all today. Just start where you are, and build from there.

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