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ETL Parquet data with Trifacta

CATEGORY: File & API      STATUS: Available

 

Parquet is an open source file format available in the Hadoop ecosystem.

ETL Parquet data to your data warehouse, such as Amazon Redshift, Google BigQuery, Snowflake, Databricks, etc., in seconds. With Trifacta's Parquet data connector, you can transform, automate, and monitor your Parquet data pipeline in real-time. No code required.

 

Join Parquet data with any data source

Combine datasets from any data source with your Parquet 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 joining Parquet data with your Salesforce CRM data, HubSpot engagement data, or a CSV or Excel file, Trifacta's visual workflow lets you interactively access, preview, and standardize joined data with ease.

Parquet Screenshot
 

Parquet to your data warehouse in minutes

ETL your Parquet data to the destination of your choice.

 

No-code automation for your Parquet data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform Parquet data, 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 Parquet data pipelines with job scheduling so that the right Parquet data is structured when you need it. When new Parquet data lands in your database, let your scheduled data pipelines do the work of preparing it for you—no manual intervention required.

 
Parquet Screenshot

Maximize the value of your Parquet data.

ETL Parquet data into a database in order to enrich it with data from other applications, such as your CRM or marketing platform. No longer will your Parquet data be isolated from the rest of your company’s critical data; instead, you’ll discover new, unforeseen insights and connect the dots across your company like never before.

 

"Trifacta 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."

 

Use cases for the Parquet data connector

  • Customer service: Combine Parquet sales data with customer service data to see if improved customer service has impacted customer referrals.

  • Sales: Connect Parquet sales data with product performance data to see how new features have impacted sales.

  • Finance: Combine Parquet finance data with marketing data to understand company growth patterns and predict revenue.

 
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