Cohelion Data Connectors for Google Big Query
Your data sources connected in a matter of minutes
Expand your existing Cloud Data Warehouse with Cohelion's capabilities
We have connected Google Big Query data feeds for our clients on numerous occasions. With the Cohelion Data Platform the Google Big Query data is seamlessly merged with other data sources and silo's.
Google Big Query
BigQuery is an enterprise data warehouse that enables super-fast SQL queries using the processing power of Google's infrastructure
Cohelion's Data Integration solution
Cohelion is your one-stop-shop for data-integration, data mapping and data-warehousing, with built-in tools for data-quality monitoring with support for sophisticated forecasting and budgeting workflow. The platform is designed to be managed completely by the business user with minimal involvement of your IT staff.
How Google Big Query data is integrated with the Cohelion Data Platform ?
We take full responsibility for creating the interfaces needed within your IT environment. Our experience learned that it makes little sense to train your IT staff to learn overly complex ETL software when this expertise is only needed once a year. Cohelion provides standard connectors but can also connect via custom built API’s to your (legacy) applications. We have been doing this for over 15 years.
Advantages of our Data Connectors
Your data will be usable in no-time. Our team has connected over 100+ ERP systems and applications through data feeds such as CSV, API's, Excel or a custom data interface.
Start your Data Quality journey by just connecting a few high-reward datasilo's and gradually expand. The Master Data Management module manages changes in data definitions and safeguards the data integrity.
Managed & monitored
We believe that you should be in full control of your data feeds, regardless of which type of data delivery. A visual interface allows your non-IT staff to track, audit and modify your data ingestion.
Be in full control of your costs with our transparent pay-as-you-go pricing model where none of the cost variables will run beyond scope.
Following the principle of ELT, the import of usable data in the platform only takes place after the original datafeed in native format are loaded into the Data Lake. New requirements at a later stage may need previously unused feed data.
Continuous data quality
Data definitions are safeguarded by the Master Data Management module at points of ingestion, storage and output. MDM maintains data integrity when changing data definitions and visualises this into understandable business objects.
See how it really works!
Schedule a demo with one of our experts to learn how the Cohelion Data Platform gets more out of your data.