Data Engineering Made Simple: Your Friendly Guide to SQL, Python, and PySpark by Katam Brahma Reddy

Data Engineering Made Simple: Your Friendly Guide to SQL, Python, and PySpark by Katam Brahma Reddy

Author:Katam, Brahma Reddy
Language: eng
Format: epub
Published: 2024-08-26T00:00:00+00:00


# Write data to Redshift

flights.write.jdbc(redshift_url, "flights_output", mode="overwrite", properties=properties)

Integrating with Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in S3 using standard SQL.

Example: Querying Amazon Athena in Databricks

# Use the AWS Data Wrangler library to interact with Athena

!pip install awswrangler

import awswrangler as wr

# Query Athena

query = """

SELECT * FROM flight_data WHERE departure_city = 'New York'

"""

df = wr.athena.read_sql_query(query, database="yourdatabase")



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