Explore stock prices with Spark SQL
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2,232 already enrolled
In this Guided Project, you will:
2 hours
Intermediate
No download needed
Split-screen video
English
Desktop only
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.
Skills you will develop
Spark SQL
Data Analysis
Big Data
Apache Spark
Distributed Computing
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
How Guided Projects work
Your workspace is a cloud desktop right in your browser, no download required
In a split-screen video, your instructor guides you step-by-step
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