Apache Spark 3 for Data Engineering and Analytics with Python - Reading a JSON File

Apache Spark 3 for Data Engineering and Analytics with Python - Reading a JSON File

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Practice Problem

Hard

Created by

Wayground Content

FREE Resource

The video tutorial introduces JSON, a lightweight data format, and its nested structure. It demonstrates creating headings in Markdown, importing data types, and defining a schema in PySpark. The tutorial guides viewers through reading a JSON file into a DataFrame, highlighting the use of multiline options and schema printing. The lesson concludes with a preview of upcoming topics on columns and expressions.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are involved in downloading and organizing the persons Jason file?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the significance of the 'truncate' option when displaying data?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain the use of the multiline option when reading a Jason file.

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What are some available options for file types in Spark?

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