These capabilities provide a technological foundation that enables the Cybersecurity and Infrastructure Security Agency (CISA) to secure and defend the Federal Civilian Executive Branch (FCEB) agencies' information technology infrastructure against advanced cyber threats. You can maximum connect 7 dimensions and 10 measures for each object.The National Cybersecurity Protection System (NCPS) is an integrated system-of-systems that delivers a range of capabilities, such as intrusion detection, analytics, information sharing, and intrusion prevention.You need to choose at least one measure for any object you want to sync.Consider looking at a limited timeframe such as a day and use the dataflow to append newly synced data with the exciting dataset. Google Analytics can sync up to 1 million records the rest will be grouped and marked as other by Einstein Analytics.The connector can sync 10 million rows or 5 GB per object, whichever limit it reaches first.There are some general considerations for all connectors like 100 connected objects, but additionally, make sure to understand the limitations specific to Google Analytics including: When working with the connector make sure to check out the consideration section in the Salesforce Help for the Google Analytics Connector. Regardless be aware there is a restriction on how many dimensions and measures Google Analytics allow you to bring over. The Global Access Object is not available in the tool as it is generated by Einstein Analytics. When you are connecting the objects I can recommend checking out the Google Analytics Dimensions & Metric Explorer to understand what fields are available. Once you have gone through the steps and added the objects make sure to set up a schedule to have data ready to use in a recipe or dataflow. You will see a warning in the measure column during the preview if there are any issues. Make sure to check if your measures exceed 18 characters, if they do you would need to change it as Einstein Analytics have a limit of 18 characters. Finally, you need to add the view id we looked up in Google Analytics.
#EINSTEIN PLATFORM DOWLOAD PRIVATE KEY FULL#
The format is yyyy-MM-dd or you can use a relative term like “today” – to see the full list of patterns and relative terms check this link out under start-date and end-date. Like with any connectors you first have to select the object you want to connect to and pick the fields.Ĭlicking next you need to select the start date and the end date for the data you want to bring in. Once the connector has been set up, it is possible to select it from the connector overview. Hopefully, it’s successful and you can now add a virtual object to be synced to Einstein Analytics. In the top right, you’ll find a link to go to the console. We first need to navigate to the Google Cloud Platform console – as it is here we can set up a service account to get access to Google Analytics via the connector. It is not any different with Google Analytics. If you have worked with the Einstein Analytics connectors before, you probably know they are easy to set up, however, there is often work to be done in the source system prior to setting up the connector. Setting up credentials for Google Analytics In this blog, I’ll explain the steps I had to complete in Google Analytics as well as Einstein Analytics to get access to the data. That being said lately I’ve had some questions that made me decide to pull my Google Analytics data to Einstein Analytics (of course) using the out of the box connector guided by the official documentation. To be honest I’ve never really looked at the Google Analytics data since counting hits and other metrics hasn’t been a driver. I run a blog, which since you found this particular blog you, of course, know that, and like many others that run blogs or websites, I too have added a Google Analytics script to my blog.
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