Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Ingest JSON from S3 to Snowflake

Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Ingest JSON from S3 to Snowflake

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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The video tutorial covers the process of ingesting JSON data into Snowflake. It begins with setting up the necessary files and creating a file format and stage in Snowflake. The tutorial then explains how to list and copy data, addressing challenges with JSON's semi-structured nature. Two methods for transforming and ingesting data are discussed: using a raw table and directly querying the stage object. The video concludes with an assignment to load Parquet data, encouraging hands-on practice.

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4 questions

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1.

OPEN ENDED QUESTION

3 mins • 1 pt

How can you transform data from a staging object before loading it into a structured table?

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2.

OPEN ENDED QUESTION

3 mins • 1 pt

What should you do if you encounter quotes in the data during ingestion?

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3.

OPEN ENDED QUESTION

3 mins • 1 pt

What steps are involved in cleaning the data before ingestion?

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4.

OPEN ENDED QUESTION

3 mins • 1 pt

What is the final task assigned to the viewers regarding loading packet data into Snowflake?

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