A leading entertainment and comic book publisher Marvel Comics was founded in the mid-20th century and has created some of the most recognizable and beloved characters in popular culture. This major player in the global comics and entertainment industry has expanded beyond comics into highly successful film and television productions, particularly with its cinematic universe. Marvel continues to produce widely popular content across various media.

Tech Holding collaborated with Amazon Web Services to help a leading entertainment and comic book publisher develop a robust, automated data pipeline. This solution seamlessly integrated real-time and scheduled data, enabling Marvel to make faster, data-driven decisions. The system's efficiency and scalability provided the publisher with a significant competitive edge in optimizing their business insights.

A major player in the global comics and entertainment industry was managing vast amounts of data sourced from diverse platforms such as Snapchat, Google, Facebook, Apple, CrowdTwist, and Bing. They struggled with efficiently aggregating and transforming this data for analysis. Data arrived in both scheduled batches and real-time streams, involving key business metrics like subscription orders, coupon redemptions, purchases, churn, and retention rates. The manual process of consolidating and analyzing the data was time-consuming, error-prone, and difficult to scale. They needed an automated, scalable solution to process, transform, and load data into a data warehouse for seamless analysis.

AWS was selected for its flexibility, scalability, and robust suite of serverless solutions. It provided seamless integration of services such as EventBridge, Lambda, Kinesis, and Glue, ensuring that both real-time and batch data streams could be efficiently managed and processed. The AWS ecosystem's security features, cost-effectiveness, and ability to scale effortlessly with increasing data volumes made it the ideal choice for Marvel’s growing data needs. AWS Glue, in particular, offered powerful tools for automating data cataloging and transformation, aligning perfectly with their goals of enhancing data insights.

Why the Customer Chose the Partner

A leading entertainment and comic book publisher selected Tech Holding as their implementation partner due to Tech Holding’s deep expertise in AWS and proven track record of delivering complex, scalable data solutions. Tech Holding’s hands-on approach and understanding of the publisher’s specific business challenges allowed them to design a highly customized solution that aligned with their data processing and analytical needs. Marvel appreciated Tech Holding’s expertise in building streamlined data workflows, their collaborative approach, and their success in implementing cutting-edge automation solutions. Tech Holding’s technical proficiency and ability to create efficient data pipelines perfectly aligned with the publisher’s objectives.

Solution

Tech Holding architected a robust, serverless data pipeline optimized for both real-time streaming and batch data processing, ensuring seamless orchestration across multiple AWS services. The solution automated entire data lifecycle ingesting data, transforming it, and storing it for analysis eliminating the need for manual intervention. By leveraging AWS’s scalable infrastructure, the pipeline was designed to handle growing data demands while ensuring high availability, low latency, and enhanced operational efficiency.

The solution incorporated key AWS services to build a flexible, scalable system:

• AWS EventBridge triggered scheduled AWS Lambda functions to fetch external data from various sources, automatically storing it in Amazon S3.
• For real-time data ingestion, AWS Kinesis Data Streams and Kinesis Firehose managed live data from platforms like Snapchat and Google, efficiently writing it into S3.
• AWS Glue Crawlers were deployed to scan and catalog data stored in S3, organizing it into structured tables within the AWS Glue Data Catalog, ready for downstream processing.
• AWS Glue Jobs were configured to run periodically, transforming raw data into a format compatible with Amazon Redshift, where it was stored for future querying and analysis.
• Amazon Redshift was selected as the data warehouse, leveraging its robust analytics capabilities to deliver fast query performance and scalability. This allowed the teams to quickly access transformed data for visualizations and generate insights in near real-time.