From the course: Cloud Hadoop: Scaling Apache Spark

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From the course: Cloud Hadoop: Scaling Apache Spark

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- [Instructor] So, now that we've completed setting up our desktop-based IDE in Python, we are going to set up the meat of our modern Hadoop development environment by going to Databricks, and then we'll be clicking on "start your free trial." Now, notice there's two different versions, as I mentioned the previous movie. For this course we're going to be working with the "community edition," which is free. You'll have access to mini six-gigabyte cluster, which is hosted on Amazon. All of that is transparent to you. You'll be able to work, importantly, with interactive notebooks and dashboards that are Jupyter-style, and we're going to use the Python language. And you'll have a public environment that you can share your work if you're collaborating or learning with someone else. Now, just to be complete, if you decide to use Databricks in a commercial situation, then you would have to pay for it. It's a commercial…

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