Data Warehousing and Big Data Engineering for a US-based Global Leader in Connectivity Intelligence
Overview
The client is a global leader in connectivity intelligence that provides consumers, businesses, and other organizations with data-driven insights to improve networks and connected experiences. Through the implementation of a robust data warehousing and big data engineering solution, our client has significantly enhanced its connectivity intelligence capabilities, enabling it to deliver superior data-driven insights and improve network performance and connected experiences for its customers worldwide.
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Challenges
Lack of real-time visibility into incoming raw telemetry data for telecom carrier analytics
Poor data quality checks early in the pipeline
Needed a simpler solution to process large trace files generated through batch pipelines compared to traditional warehouse-based workflows
Solution
- Serverless Architecture: Implemented a serverless solution using AWS Kinesis Data Pipeline with Firehose for efficient data ingesting
- Real-time Transformation: Leveraged AWS Lambda to transform real-time data and normalize it for different destinations
- Real-time Analytics: Enabled real-time analytics and visualization on top of streaming databases for instant insights
- Batch Processing: Utilized AWS Glue for large file processing orchestrated with Lambda to ensure efficient batch pipeline operations
Outcomes
- Gained real-time insights into telemetry data, enabling prompt decision-making
- Enhanced Data Quality with minimized errors
- Simplified Processing of large trace files and enhanced efficiency
- Real-time analytics and visualization capabilities drove informed business decisions
