ETL Parquet data to your data warehouse, such as Amazon Redshift, Google BigQuery, Snowflake, Databricks, etc., in seconds. With Designer Cloud's Parquet data connector, you can transform, automate, and monitor your Parquet data pipeline in real-time. No code required.
Combine datasets from any data source with your Parquet 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 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.
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.
"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."
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.