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ETL Amazon Athena data with Trifacta

CATEGORY: Big Data & NoSQL      STATUS: Available

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Amazon Athena is an interactive query service for data stored in Amazon Simple Storage Service (Amazon S3).

ETL data from data repositories and business-critical applications such as Salesforce, HubSpot, ServiceNow, Zuora, etc. into Amazon Athena in seconds. With Trifacta's Amazon Athena data connector, you can transform, automate and monitor your Amazon Athena data pipeline in real-time. No code required.

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.
 

Join Amazon Athena data with any data source

Combine datasets from any data source with your Amazon Athena data. Connect to any data - Trifacta's data integration workflow supports a wide variety of cloud data lakes, data warehouses, applications, open APIs, file systems, and allows for flexible execution, including SQL, dbt, Spark, and Python. Whether it's readying your Salesforce CRM data, an Excel or CSV file, or a JSON file for Amazon Athena, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Amazon Athena Screenshot
 

Amazon Athena to your data warehouse in minutes

ETL your Amazon Athena data to the destination of your choice.
 

No-code automation for your Amazon Athena data pipeline

Trifacta empowers everyone to easily build data engineering pipelines at scale. With a few simple clicks, automate your Amazon Athena data pipeline. No more tedious manual uploads, resource-intensive transformations, and waiting for scheduled tasks. Deploy and manage your self-service Amazon Athena data pipeline in minutes not months.

Ensure quality data every time.

No matter how you need to enrich and transform data for Amazon Athena, ensure that the end result is high-quality data, every time. Trifacta automatically surfaces outliers, missing data, and errors and its predictive transformation approach allows you to make the best possible transformations to your data.

Schedule, automate, repeat.

Automate your Amazon Athena data pipelines with job scheduling so that the right data is in Amazon Athena when you need it. When new data becomes available for Amazon Athena, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

 

"Designer Cloud allows us to quickly view and understand new datasets, and its flexibility supports our data transformation needs. The GUI is nicely designed, so the learning curve is minimal. Our initial data preparation work is now completed in minutes, not hours or days."

Henry Culver

IT Architect, Merkle

 

Use cases for the Amazon Athena data connector

  • ETL Amazon Athena data to Amazon Redshift

  • ETL Amazon Athena data to Google BigQuery

  • ETL Amazon Athena data to Snowflake

  • ETL Amazon Athena data to Databricks

  • ETL Amazon Athena data to MySQL

  • ETL Amazon Athena data to Microsoft Azure

  • Join Amazon Athena data with Google Sheets data

  • Prepare Amazon Athena data for data visualization in Tableau

 
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