Data Protection Platform Integration with Google BigTable – Achieved 4X Data Processing Efficiency

Results

4X

Faster Data Processing Speed

90%

Reduction in Manual Data Handling

100%

Better Threat Automation in Data Retrieval & Formatting

60%

Boost in Scalability for Large Datasets
Customer

A Leading Personal Data Privacy and Protection Provider

Service Portfolio

Custom Connector Development

Customer Pain Points

No Seamless Access to Google BigTable
Manual Data Extraction Workflows
Slow Query Performance
Unstructured and Raw Output Data
Inconsistent Sampling Methods
Scalability Limitations

How did we resolve customer pain points?

Built a Custom Connector App

Developed using C# 8.0 and .NET Core 3.0, tailored to integrate with Google BigTable.

Real-Time Data Access

Connected to BigTable using Project ID and Instance ID to retrieve all table data.

Structured Sampling Techniques

Applied predefined methods to sample high-volume data efficiently.

Enabled Secure Authentication

Configured a service account in Google Cloud Console and authenticated using the customer’s project details.

Timeline-Based Data Retrieval

Enabled data filtering within a specified time range to meet compliance and analysis needs.

Automated Data Formatting

Transformed retrieved data into the required format before passing it to the customer’s platform.

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