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ETL Trino data with Designer Cloud

CATEGORY: Big Data & NoSQL      STATUS: Available

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Trino is a fast, distributed SQL query engine for big data analytics.

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

 

Trifacta documentation

How to set up the connector in your Trifacta workspace.

Dataprep documentation

How to set up the connector in your Trifacta Dataprep project.
 

Join Trino data with any data source

Combine many different data sources with your Trino data, such as open-source data, data from Hadoop or relational databases, or data from Google Cloud or AWS. Connect to any datasets - 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 readying your Salesforce CRM data, an Excel or CSV file, or a JSON file for Trino, Designer Cloud's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Trino Screenshot
 

Trino to your data warehouse in minutes

ETL your Trino data to the destination of your choice.
 

No-code automation for your Trino data pipeline

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

Ensure quality data every time.

No matter how you need to enrich and transform huge amounts of data for Trino, ensure that the end result will optimize for 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 Trino data workloads with job scheduling so that the right data is in Trino when you need it. When new data becomes available for Trino, 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 Trino data connector

  • ETL Trino data to Amazon Redshift

  • ETL Trino data to Google BigQuery

  • ETL Trino data to Snowflake

  • ETL Trino data to Databricks

  • ETL Trino data to MySQL

  • ETL Trino data to Microsoft Azure

  • Join Trino data with Google Sheets data

  • Prepare Trino data for data visualization in Tableau

 
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