Modernizing AdMarketplace’s Data Infrastructure with AI Technology

The Client Project

We supported AdMarketplace in its projects, from modernizing its data workflows to implementing AI-driven solutions and reducing development and maintenance costs while improving performance.

AdMarketplace needed an AI partner to innovate and scale their services by implementing advanced tools and technologies for their data engineering and infrastructure teams.

Their primary objective was to maximize resiliency, efficiency, and speed by modernizing workflows and introducing AI-driven capabilities. This included transitioning legacy systems, optimizing data processing, and ensuring seamless scalability.

Requirements

Our Implemented Service

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.

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Our Tech Stack

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

The Results

With ClickIT’s support, AdMarketplace now benefits from enhanced scalability and reduced operational costs through server migration to AWS.

Improved data processing performance by transitioning workflows to PySpark and leveraging Databricks, delivered an AI-powered web mobile app for smarter interactions, utilizing predictive analytics and faster file processing, reducing times from hours to minutes, and enabled real-time data ingestion.