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FTP

Connect your FTP and sync the data into a data warehouse.

Load data from FTP to your Data Warehouse

Start moving your FTP data to BigQuery, Snowflake, or Redshift with fully managed data pipelines. Get clean normalized data ready for analytics, easy to setup in minutes with no coding required. Up to 5 minute sync frequency for fast data syncronisation.

View more about the FTP integration in the Weld documentation

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Transform and model FTP data

Get clean data models from your FTP data. Weld makes it easy to transform and model with the powerful built in SQL editor and AI Assistant.

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FTP
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Connect FTP data to any BI tool

Transform and combine FTP data with other data sources with Weld, to build valuable business insights. Connect any BI Tool to build valueable analytics and reporting for your company.

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FTP Server (File Transfer Protocol Server) is a standardized tool for transferring and storing files, such as CSVs and other formats, across networks.

As a common repository for raw data files, these servers serve as starting points for many ETL (Extract, Transform, Load) processes into data warehouses. Here's how businesses can harness the data stored in FTP servers for analytics:

  • Data Aggregation from Multiple Sources: Businesses often receive data in file formats like CSV, Excel, or XML from various departments or external partners. An FTP server acts as a centralized location for consolidating these disparate data sources, readying them for extraction and analysis.
  • Timely Data Refreshes: Automated ETL processes can be set up to monitor FTP directories for new or updated files. Upon detection, these files can be automatically extracted, transformed as necessary, and loaded into a data warehouse, ensuring timely data refreshes for analytics.
  • Historical Data Analysis: FTP servers can store archives of historical data files. By loading this historical data into a data warehouse, businesses can run time-series analyses, track changes over time, and identify long-term trends and patterns.
  • Data Quality and Transformation: Before loading into a data warehouse, the raw files in FTP servers can be processed to ensure data quality. This includes tasks like filtering out corrupt or irrelevant data, normalizing data formats, and enriching data with additional context.

By strategically using an FTP server as an intermediary storage for raw data files, businesses can streamline their ETL processes, ensuring consistent, timely, and high-quality data flow into their data warehouses for comprehensive analytics.

Start working with your FTP data today

Get started building your data warehouse with FTP and 100+ more apps and database integrations available.

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Tired of scattered data? Sync data to your data warehouse with Weld in minutes with our powerful ETL, SQL Transformations, Reverse ETL and AI Assistant, Ed - connected to 100+ apps, files and databases.

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