CASE STUDY
GRAND PARADE

CASE STUDY
GRAND PARADE

DETAILS

Project objective

Creating a modern cloud-based data platform for a gaming company, Grand Parade

Sector

Entertainment / gaming

Technologies, methods and tools
AWS, Snowflake, Airflow, Kafka, Terraform

Tasks

  • Analyzing the existing data warehouse environment
  • Configuring the infrastructure in the AWS cloud environment
  • Implementing CI/CD automation
  • Processing batch data
  • Creating technical documentation (LLD) and failure-response plans for 24/7 teams
  • Sharing data inside the company/ to third parties via a serverless API (API Gateway + Lambda)
Results
  • Implementing a Data Lake based on AWS and Snowflake
  • Creating a serverless API access layer based on AWS and Snowflake
  • Creating a monitoring system for selected Data Lake areas
  • Sharing an efficient data access mechanism
  • Implementing a user support solution for the client’s gaming platforms

Benefits

  • Significant cost reduction
  • Near real-time data delivery
  • Adaptability to business activity rate changes
  • Data security
  • Adaptability to large and small projects

WHAT WERE THE NEEDS?

The gaming / gambling company was looking to create a modern AWS-based data analytics platform. A project was launched to create a Smart Data Platform that would serve as the main data source for the entire organization. 

WHAT HAVE WE DELIVERED?

We carried out the technology assessment for the project, created the PoC of the solution, and prepared a development framework. The data platform was supported by Onwelo teams. As the Smart Data Platform was developed and real-time data analytics was needed, we also worked on streaming data delivery options. 

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