Case Studies

AdMarketplace’s

AdMarketplace case study

Reducing Data Processing Times from Hours to Minutes for AdMarketplace

The Client Project

AdMarketplace processes massive volumes of advertising and behavioral data to power faster, smarter search advertising experiences.

But as data demands grew, outdated processing workflows were slowing analytics, increasing infrastructure overhead, and limiting real-time decision-making.

ClickIT rebuilt key parts of the platform’s data infrastructure. This cut processing times from hours to minutes. It enabled real-time data ingestion. It also created a scalable foundation for AI-driven analytics.

The Challenge & Requirements

AdMarketplace needed to modernize its data infrastructure to support faster analytics, improve scalability, and introduce AI-driven capabilities across its platform.

The goal was to increase resiliency, reduce operational overhead, and enable real-time data processing without disrupting existing workflows.

Key requirements included:

Building an AI-powered predictive model for mobile experiences
Optimizing large-scale data workflows and processing pipelines
Migrating legacy applications and workloads to Databricks

Our Implemented Service

ClickIT engineers embedded into AdMarketplace’s data and infrastructure teams to modernize workflows, improve processing performance, and support AI-driven capabilities at scale.

Data Engineering and AI Solutions

Our engineering team participated in the planning and development of a web mobile app with an AI predictive model to enhance tracking and optimize follow-up questions.

The app delivers smarter and more effective interactions, leveraging historical data and improving efficiency.

Optimized Data Workflows with PySpark

Transitioned the client’s data transformation and modeling processes from Jupyter notebooks to production-ready code.

Refactored and optimized existing code to improve performance.
Migrated workflows to run on PySpark using Amazon EMR, achieving faster data processing.
Stored the refined code in a secure Bitbucket repository supported by CI/CD pipelines for automated deployments, covering the entire workflow from data collection to inference.

Application Migration to Databricks

An existing Java application, which previously took hours to process files, was rewritten in PySpark.

Migrated the application to Databricks, enabling real-time data processing.
Set up a new Change Data Capture process using Apache Kafka, reducing file processing times from hours to minutes.

Smarter Data, Faster Insights. Get started with Our AI experts! Let’s Talk

Our Tech Stack

We utilized the following AI and Data engineering technologies to modernize AdMarketplace’s infrastructure and data workflows:

The Results

What once took hours to process can now be analyzed in near real time.

ClickIT modernized AdMarketplace’s data infrastructure with scalable PySpark pipelines, Databricks, and real-time ingestion architecture, eliminating critical bottlenecks across analytics workflows.

Processing times reduced from hours to minutes
Real-time analytics enabled across large-scale datasets
Infrastructure overhead reduced through AWS modernization
AI-powered predictive capabilities integrated into core workflows
Scalable architecture built to support future growth and data demands

AdMarketplace now operates on a high-performance, AI-ready platform designed for speed, scalability, and continuous innovation.