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Explore stock prices with Spark SQL
  • Level Intermediate
  • Duration 2 hours
  • Offered by

About

In this 1-hour long project-based course, you will learn how to interact with a Spark cluster using Jupyter notebook and how to start a Spark application. You will learn how to utilize Spark Resisilent Distributed Datasets and Spark Data Frames to explore a dataset. We will load a dataset into our Spark program, and perform analysis on it by using Actions, Transformations, Spark DataFrame API and Spark SQL. You will learn how to choose the best tools to use for each scenario. Finally, you will learn to save your results in Parquet tables.

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Discover how to analyze stock prices with Spark SQL in this intermediate-level, 1-hour project-based course. Guided by expert instructors from Coursera, you'll interact with a Spark cluster using Jupyter notebooks and initiate Spark applications. Perfect for data science enthusiasts, the course is free and offers hands-on experience in leveraging Spark for data analysis.