OTHER DATABASE CASE STUDIES
Data Protection platform integration with Amazon Relational Database
Data Protection platform integration with Amazon Redshift
Data Protection platform integration with Amazon DynamoDB
Data Protection platform integration with Hadoop Hive
Data Protection platform integration with Snowflake
Data Protection platform integration with Google BigQuery
Customer is a leading Personal Data Privacy and Protection provider.
It enables organizations to discover and map all types of data from all enterprise data sources; automatically classify, correlate, and catalogue identity & entity data into profiles; manage and protect enterprise data with advanced data intelligence; and automate data privacy and protection.
It identifies all PII across structured, unstructured, cloud & Big Data.
Customer requested to build a Connector app to integrate its platform with Google Cloud Spanner to scan the data present in the Spanner for finding the PII information.
Google Cloud Spanner is a fully managed, mission-critical, relational database service on the Google Cloud Platform that offers transactional consistency at a global scale, schema’s, SQL and automatic, synchronous replication for high availability
Sacumen developed the Connector app to integrate Cloud Spanner using Java SDK 8 version. The Connector app performs the following actions:
Set up the OAuth consent screen in Cloud Console and get the Client Id and Client Secret to authenticate the API
Connects to Cloud Spanner using the ProjectId, Cloud Spanner instance and the OAuth flow
Retrieves the data using SQL query statement execution on the database
Performs a strong read, a stale read, a read using an index on the database
Performs retrieving of data in parallel
Gets the requested data within a certain timeline
Samples the fetched data using predefined sampling techniques
Formats the received data in the required format and pass it to the customer
There are no reviews yet.