High-Performance Big Data Analytics and Reporting Platform for Marketing Optimization

The client faces difficulties in providing fast, flexible analytics for massive datasets—up to ten billion records daily—while supporting a large number of concurrent users. Existing systems built on data warehouses such as Snowflake often experience latency in query response times, hampering real-time decision making and campaign optimization.

A large-scale advertising platform provider serving multiple clients with extensive data integrations and reporting needs.

• Design and implement a data pipeline capable of processing 10 billion records daily with near-real-time updates.
• Ensure query response times of half a second or less for recent data within a highly concurrent user environment.
• Develop a storage solution that supports efficient preaggregation and deduplication of large volumes of data over multiple time granularities (yearly, monthly, daily, hourly).
• Enable flexible, ad-hoc querying capabilities to support diverse analytical needs.
• Maintain system cost-effectiveness, targeting hosting costs under $10,000 per month.

• A data pipeline architecture leveraging Lambda architecture principles to handle raw data ingestion and preaggregation.
• Integration of scalable databases such as ClickHouse and Elasticsearch for high-speed data retrieval.
• Use of distributed processing frameworks like Apache Spark for data transformation and aggregation.
• Implementation of a storage system using optimized formats such as Parquet in cloud object storage (e.g., AWS S3).
• A flexible query interface, potentially leveraging GraphQL, to enable detailed, arbitrary search queries.
• Automated data deduplication during ingestion to improve storage efficiency.
• An interactive, responsive reporting interface capable of serving hundreds of users simultaneously.

• Streaming data sources for raw activity logs
• Data ingestion pipelines to feed information into processing frameworks
• Authentication and security systems for user access control

• Capability to process and store 10 billion records daily with minimal latency
• Query response times under 0.5 seconds for recent data queries
• Support for over 500 concurrent users
• System uptime and reliability to ensure continuous access
• Cost-effective hosting, ideally under $10,000 per month

The new analytics platform aims to significantly reduce query response times, enabling real-time decision-making and campaign optimization. It is expected to handle massive data volumes efficiently, support a high level of concurrent user activity, and do so within a cost-effective cloud infrastructure, ultimately enhancing the client's ability to deliver timely insights and improve advertising strategies.