BigQuery

bigquery is a fully managed, serverless data warehouse provided by google cloud platform (gcp) it enables seamless operation across multiple clouds and scaling with your data requirements it offers integrated machine learning/artificial intelligence (ml/ai) capabilities and business intelligence (bi) tools, facilitating large scale insights and analysis what can you do with bigquery in custify? you will be able to retrieve people, events, and companies from your bigquery data warehouse you will be able to easily map your source data to custify’s designated data objects, and use these events in the same way as the ones that would come from your own backend that means you’ll be able to segment your customers, define lifecycles or create playbooks based on calculated metrics using these data points depending on the geographical location of your data (germany, ireland or us), you will need to whitelist a list of ips before activating the data warehouse frankfurt business 3 123 52 1563 67 152 22418 159 43 17018 194 219 2193 74 25 43 ireland 34 253 103 15, 176 34 236 120, 54 73 1 213 us business 3 142 88 1818 188 66 1843 19 0 1973 140 205 1813 140 83 245 activation 1\ sign in to custify and navigate to the integrations page 2\ select the data warehouse integration 3\ click new sync and then new source, and select bigquery 4\ fill in your connection information your service account key can be obtained in the google cloud web console by navigating to the iam page and clicking on service accounts in the left sidebar then, find the service account you want custify to use in the list, go to its keys tab, and click add key finally, click on create new key and choose json we recommend creating a dedicated service account for custify to access your data warehouse it must have the following roles bigquery data editor and bigquery job user 5\ select which custify object you want to create from your data people, events, or companies 6\ select the source data in your bigquery data warehouse then, select the namespace and table in your data warehouse that contains the source data 7\ map the fields in your source data to the fields expected by custify