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ETL Amazon Redshift data with Designer Cloud

CATEGORY: Big Data & NoSQL      STATUS: Available

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Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools.

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

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.
 

Join Amazon Redshift data with any data source

Combine datasets from any data source with your Amazon Redshift data. Connect to any data - Designer Cloud'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 joining Amazon Redshift data with your Salesforce CRM data, an Excel or CSV file, or a JSON file, Designer Cloud's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Amazon Redshift Screenshot
 

Load data to your data warehouse in minutes

ETL your data to the destination of your choice
 

No-code automation for your Amazon Redshift data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform data stored in Amazon Redshift, 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 Redshift data pipelines with job scheduling so that the right data is in your Amazon Redshift database when you need it. When new data lands in your Amazon Redshift database, 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 Redshift data connector

  • ETL Amazon Redshift data to Google BigQuery

  • ETL Amazon Redshift data to Snowflake

  • ETL Amazon Redshift data to Databricks

  • ETL Amazon Redshift data to MySQL

  • ETL Amazon Redshift data to Microsoft Azure

  • Join Amazon Redshift data with Google Sheets data

  • Prepare Amazon Redshift data for data visualization in Tableau

 
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