![]() ![]() These steps are described on the next page. With these pre-requisites in place, the reverse engineering process can be started by connecting to a BigQuery dataset. In Linux this will be the /home/username/Documents folder. In MacOSX, this will be the /Users/username/Documents folder. In Windows this would be the c:\users\username\Documents folder (where “username” is your Windows user name). This tutorial assumes you have the Key File stored in your Documents folder. Make sure you store your Key File in a secure location. The Import DB Schema from ODBC source dialog displays, showing the details of. If you have not created your Service Account and Key File, please do that before you move on with the rest of this tutorial. Open the Database Builder (Develop > Data Modeling > Database Builder). not have any data sets, consider copying one of the free open source data. This tutorial provides instructions on how to create a Service Account and Key File. Before starting this tutorial, download and install the DbSchema software for. Use the BigQuery console to copy this data set into your own Project.Ĭonnecting to Google BigQuery from DbSchema requires a Service Account and Key File. This data set is available through BigQuery Public datasets. For example, this tutorial makes use of the CMS Synthetic Patient Data OMOP Data set that has the name: cms_synthetic_patient_data_omop. If you currently do not have any data sets, consider copying one of the free open source data sets into your own BigQuery project. The BigQuery dataset to be reverse engineered should be located under your GCP Project. Be sure to note your Project id and GMail account associated with the GCP account. You should also have a Google Cloud Platform (GCP) Project set up and associated with a billing account. DbSchema offers a free license version that has limited features.īefore starting this tutorial, download and install the DbSchema software for your operating system. The DbSchema software is supported on MS Windows, Mac OSX and Linux. Reverse Engineering can be used to provide documentation on an existing application, provide applications developers with a better overall picture of the schema and provide better guidance when performing changes to the schema.ĭbSchema is a powerful software tool that is able to connect to an extensive number of different database management systems including cloud-based databases like AWS Redshift and Google BigQuery. Reverse Engineering is the process of reconstructing a physical and/or ER model from an existing schema. The purpose of this tutorial is to demonstrate how to reverse engineer a Google BigQuery dataset into a physical level diagram using the DbSchema software. ![]()
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