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High-Performance Real-Time Reporting Platform for Ad Tech Data Ecosystem
  1. case
  2. High-Performance Real-Time Reporting Platform for Ad Tech Data Ecosystem

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High-Performance Real-Time Reporting Platform for Ad Tech Data Ecosystem

lineate.com
Advertising & marketing
Information technology

Challenges in Real-Time Ad Performance Analytics

Existing Snowflake-based reporting system struggled with 10B+ daily data records, delivering query results in minutes rather than seconds. Inability to support concurrent users (target: 500+) with required 500ms response times for arbitrary dimensional queries. Operational pipeline lacked efficient pre-aggregation and real-time data streaming capabilities for dynamic advertising optimization.

About the Client

Privacy-focused digital marketplace connecting advertisers, publishers, and consumers through search-integrated pay-per-click advertising

Core Project Goals

  • Process 10B+ daily records with sub-second query performance
  • Support 500+ concurrent users for real-time decision making
  • Implement cost-effective cloud architecture (<$10k/month)
  • Enable dynamic dimensional analysis across 2-year historical data

System Functionality Requirements

  • Lambda architecture for batch/stream processing
  • Multi-level pre-aggregation (hourly/daily/monthly)
  • GraphQL API for flexible data querying
  • React-based microservices UI with real-time dashboards
  • Automated data deduplication pipeline

Technology Stack Requirements

ClickHouse
Apache Spark
AWS S3 with Parquet
ElasticSearch
GraphQL
React
Vertica

System Integration Needs

  • Advertiser/publisher platforms
  • Real-time bidding systems
  • Existing Snowflake data warehouse
  • Security information and event management (SIEM)

Operational Requirements

  • 500 queries-per-second capacity
  • 99.95% system availability
  • Data freshness within 5-minute SLA
  • Horizontal scalability to 1T+ records
  • Role-based access control (RBAC)

Business Value Projections

Expected to enable real-time advertising strategy optimization through instant access to 2-year historical data and current campaign metrics. Reduced query latency from minutes to 500ms will improve advertiser ROI through faster decision cycles. Scalable architecture supports growth to 1T+ records while maintaining cost efficiency below $10k/month infrastructure spend.

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