Bennie Health - Data Warehouse PoC
Customer Success Story
Role in Project
WALT Labs worked with Bennie to review their existing GCP infrastructure and provide technical recommendations on scaling, security, and choosing the optimal solution for building a data pipeline using Postgres CloudSQL, Datastream, BigQuery, and Looker.
The Challenge
Bennie is currently using Postgres CloudSQL. They want to build a data pipeline in GCP to do analytics, reporting, and data visualization. They wanted to build a Data Lake on the best solution using Postgres CloudSQL, Datastream, and BigQuery which is cost-efficient and performance efficient.
The Solution
WALT Labs identified and built an architecture plan for the Data Pipeline in GCP. Using Terraform to automate creation and configuration of the Data Pipeline. Furthermore, recommendations were provided on how to improve and manage the Data Pipeline as the business continues to scale and expand on use cases.
The Results
Deploying via Terraform, the recommended Data Pipeline in GCP using Postgres CloudSQL, Datastream, and BigQuery has unlocked the capability to use advanced Data Analytics and reporting. Leveraging best practices around Datastream and creating datasets in BigQuery granted the ability to analyze and visualize the data in Looker Studio.
Using the recommended and newly built pipeline in GCP using CloudSQL, Datastream, and BigQuery will improve their performance in data and as well reduce cost. Leveraging best practices around Datastream and creating datasets in BigQuery improves the performance and stability of the current environment.
About Bennie Health, Inc
Bennies come from top benefits firms, technology startups,
and insurance carriers to help companies create a
healthier workplace.
Industry: Healthcare & Life Sciences
Primary project location: United States
Let’s just have a chat and see where this goes.
