ETL HDFS data with Trifacta

CATEGORY: File & API      STATUS: Available


HDFS is a distributed file system that handles large data sets running on commodity hardware.

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


Join HDFS data with any data source

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


HDFS to your data warehouse in minutes

ETL your HDFS data to the destination of your choice.


No-code automation for your HDFS data pipeline

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

Ensure quality data every time.

No matter how you need to combine and transform data stored in your HDFS data repository, 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 HDFS data pipelines with job scheduling so that the right data is in your HDFS data repository when you need it. When new data lands in your HDFS data repository, let your scheduled data pipelines do the work of preparing it for you for a database or other end target—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."


Use cases for the HDFS data connector

  • ETL HDFS data to Amazon Redshift

  • ETL HDFS data to Google BigQuery

  • ETL HDFS data to Snowflake

  • ETL HDFS data to Databricks

  • ETL HDFS data to MySQL

  • ETL HDFS data to Microsoft Azure

  • Join HDFS data with Google Sheets data

  • Prepare HDFS data for data visualization in Tableau

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