Explore stock prices with Spark SQL

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Course Features

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Duration

2 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

2 hours

Course Description

This project-based course is 1 hour long and teaches you how to interact with Spark clusters using Jupyter notebook. Also, how to create a Spark application. To explore a data set, you will be able to use Spark Resisilent Dissected Datasets and Spark Data frames. You will load a dataset into Spark and then perform analysis using Actions, Transformations, Spark DataFrame SQL, Spark DataFrame API, and Spark SQL. Learn how to select the right tools for each situation. You will also learn how to save your results on Parquet tables.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Derive knowledge from data using Spark RDD and DataFrames

Store results in Parquet tables

Create an application that runs on a Spark cluster

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