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Extract CRM data from Drupal into your data warehouse.

Load data from Drupal to your Data Warehouse

Start moving your Drupal 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 Drupal integration in the Weld documentation

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Transform and model Drupal data

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

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Connect Drupal data to any BI tool

Transform and combine Drupal 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.

Drupal is a flexible open-source content management system (CMS) that powers many websites and digital experiences.

Given its expansive content management capabilities, Drupal accumulates a rich set of data that can be invaluable when extracted, transformed, and loaded (ETL) into a data warehouse for Business Intelligence (BI) and analytics. Here's how businesses can harness the data stored in Drupal for analytical purposes:

  • Content Performance Analysis: By extracting data related to page views, user engagement metrics, and content interaction, businesses can gauge which content pieces resonate most with their audience. This aids in refining content strategies and allocating resources more effectively.
  • User Behavior and Segmentation: Drupal captures detailed user data, including registration details, login frequency, content preferences, and user-generated content. Analyzing this data offers insights into user segments, helping businesses tailor their content and marketing strategies to specific user groups.
  • Site Performance Metrics: Drupal logs can provide details about site performance, including load times, error rates, and uptime. Extracting and analyzing this data helps in identifying bottlenecks, ensuring a smooth user experience, and making informed decisions about infrastructure upgrades.
  • Conversion Funnel Analysis: For Drupal sites with e-commerce capabilities or specific user journey goals, tracking user pathways through the site can pinpoint where potential customers drop off or convert. This data, when analyzed, can guide site redesigns or marketing strategies to improve conversion rates.

Using ETL processes to migrate data from Drupal into a dedicated data warehouse allows businesses to conduct in-depth BI and analytics. This not only optimizes the user experience on the Drupal platform but also drives strategic decisions based on robust data-driven insights.

Start working with your Drupal data today

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

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

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