Cooladata offers data integration with Microsoft SQL Server. Both data sets can seamlessly get analyzed together with all other data sources.
Cooladata offers data integration with Microsoft SQL Server. Both data sets can seamlessly get analyzed together with all other data sources.
Cooladata Google Cloud Storage integration enables you to upload your data files onto Google Bucket. By doing this your data files are also automatically loaded to Cooladata giving you the ability to analyze and query the data on Cooladata platform right then and there. Just upload the content of any CSV or JSON file from a Google Cloud Storage bucket into your CoolaData project. This type of integration is typically used to enrich your CoolaData events with your own data. CoolaData creates a dedicated bucket for you in Google Cloud Storage and then automatically uploads the file name and file type that you specify every hour.
To upload content into CoolaData from a Google Cloud Storage Bucket –
CoolaData has the ability to query data from any linked or external data sources. This functionality can be used together with Client Side Joins to provide the capability to blend data from CoolaData’s data source and any external data sources.
Cooladata offers data integration with Amazon Redshift. Seamlessly join data sets together before enriching, analyzing and visualizing them together with all other data sources. You can query any Redshift DB by passing the connection string to CoolaData and enabling access to IPs over your Redshift.
If you have a db in your organization which you like to query, set up the connection string to access it directly through CoolaData.
Why is this useful?
CoolaData provides the capability to query data from linked (external) sources. This functionality can be used together with Client Side Joins, and provide the opportunity to blend data from CoolaData’s data source and external data sources.
Cooladata offers data integration with Google BigQuery. Seamlessly join data sets together before enriching, analyzing and visualizing them together with all other data sources. Query any Big Query dataset by enabling CoolaData account access. Once access is in place, direct queries to the Big Query table you wish to work on.
If you have a db in your organization which you like to query, set up the connection string to access it directly through CoolaData.
Why is this useful?
You can query any MySQL DB by passing the connection string to CoolaData and enabling access to CoolaData IPs over your MySQL.