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Querying Real Estate Data in S3 Using Amazon Athena

In this AWS hands-on lab, you’ll use Amazon Athena to query sample data of sold Manhattan houses stored in Amazon S3. To do so, you’ll first upload the sample data to Amazon S3, partition the data in Hive format, create an underlying table in Amazon Athena, and finally, use the Amazon Athena query editor to run SQL queries against the estate data.

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Path Info

Clock icon Beginner
Clock icon 1h 30m
Clock icon Oct 21, 2022

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Table of Contents

  1. Challenge

    Populate S3 with Manhattan Real Estate Data

    Download the CSV files from this lab's GitHub repository, and upload them to Amazon S3.

    Note: For partitioning purposes, make sure to create a respective folder for each CSV file.

  2. Challenge

    Set Up Amazon Athena

    Create a folder in Amazon S3 and update query results in Amazon Athena using that folder.

  3. Challenge

    Create a Table from the S3 Bucket Metadata

    Create a database and a table using the first and second queries found in the README file. If everything is successful, you should see the table listed under Tables and views.

  4. Challenge

    Add Partition Metadata

    Load the partitions and confirm they have been loaded using the third command in the README file.

  5. Challenge

    Query Data Using SQL

    Query the data using SQL. You can use several different SQL queries to explore the data; for example, you can use the fourth command in the README file.

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