ETL LOG data to your data warehouse, such as Amazon Redshift, Google BigQuery, Snowflake, Databricks, etc., in seconds. With Designer Cloud's LOG data connector, you can transform, automate, and monitor your LOG data pipeline in real-time. No code required.
Combine datasets from any data source with your LOG 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 LOG data with your Salesforce CRM data, HubSpot engagement data, or a CSV or Excel file, Designer Cloud's visual workflow lets you interactively access, preview, and standardize joined data with ease.
ETL LOG 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 LOG 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."
Logistics management: Combine LOG warehouse data with transportation data to see how quickly product is moved out to retailers.
Sales: Connect LOG warehouse data with sales orders to see how quickly sales orders are fulfilled.
Security: Combine LOG security data with HR data to track employee use of in-person offices.