Google Colab provides a great cloud-based environment for running Jupyter notebooks. In this video, learn how to set up Google Colab to run PySpark.
- [Instructor] We're going to be using Google's Colab…as our lab environment for Apache Spark.…Colab is a hosted Jupyter Notebook environment,…and what's great is that it's free,…and it requires no set up.…Colaboratory works with most major browsers,…but I suggest working with desktop versions…of either Chrome or Firefox.…Not surprisingly, Google's Colab notebooks…are very similar to Jupyter notebooks,…and you can upload or import an existing…Jupyter or Ipython notebook into Colab.…A huge bonus is that Colab notebooks are also stored…in the open source Jupyter Notebook format.…
That's the .ipynb.…If you haven't used a Jupyter Notebook before, don't worry,…I'll show you the basics in a couple of minutes.…You also have access to the shell.…You can use common Linux commands such as !wget and !pwd…to get the present working directory.…And just so you know, the code is executed…in a virtual machine dedicated to your account.…These virtual machines are recycled…when idle for awhile.…Colab notebooks are just like Google Docs and sheets,…
- Benefits of the Apache Spark ecosystem
- Working with the DataFrame API
- Working with columns and rows
- Leveraging built-in Spark functions
- Creating your own functions in Spark
- Working with Resilient Distributed Datasets (RDDs)
Skill Level Intermediate
1. Introduction to Apache Spark
2. Technical Setup
3. Working with the DataFrame API
5. Resilient Distributed Datasets (RDDs)
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