Maintenance Announcement

On October 27th, 2015 we will perform  maintenance of our database servers. This will cause a maintenance window from 11:00 am to 1:00 pm (GMT+1).

During the maintenance, you can't access your data. All running tasks will be monitored by us and restarted in case of any interruption. 


Twitter extractor update

We have updated Twitter Extractor, fixing some issues with OAuth authentication and processing of the data from Twitter.

As a side effect some of the results may have fewer columns, resulting on error on import to Storage API. None of the affected columns should contain meaningful data since they've been processed in a wrong way previously. Simply deleting columns mentioned in an import error message from affected tables will remedy the issue. 

We apologize for the inconvenience if any of your configurations is affected!

Changes to GoodData Writer's upload project and upload table behaviour

API calls upload-project and upload-table now enforce model update every time they are called. Decision making whether to update the model or not based on comparing GoodData's and Writer's last change date of dataset had not been reliable in some situations so we decided to leave it at all.

Now upload-table API call generates one UpdateModel and one LoadData task every time it is called but upload-project API call generates only one UpdateModel task for whole project at once.

Google Analytics Segments

Google Analytics Extractor now supports Segments.

"Segments allow you to select users and sessions to answer questions that are important to your business. For example, users that have completed at least 2 transactions with a lifetime revenue of over $1,000, or users who visited first on a mobile device followed by a desktop browser."

Read more about Segments here.

Redshift writer

Redshift writer is the new addition to the growing list of writers. You can now write your data to any Redshift warehouse, or if your project includes Redshift, we can provision you with it's own database - that's useful when you need to perform read-only operations in an external application, such as chart.io.

Inplace Table Preview

Have an instant preview of the storage table right in place such as transformation mappings configuration, most of the extractors and writers configuration, job detail page etc. No need to switch between Storage Console in most of the cases.

Table id is displayed as a link:

Click on the link and get modal dialog pop up with general info about the table, its sample data, and the most recent events: