The world is generating more data than ever before but making use of that data can be challenging. Between 80% and 90% of data is unstructured or semi-structured, making it difficult to harness. This is where Affirma data engineers come in. Modern data engineering practices ensure the production of fast, reliable, and high-quality data for all business units within an organization. It enables easy and secure data sharing across the company, its ecosystem, and beyond.
Design and implement scalable, high-performance cloud data environments tailored to your business needs, ensuring security, flexibility, and cost efficiency across platforms like AWS, Azure, and Google Cloud
Build modern data storage solutions that centralize and organize your data, enabling seamless analytics, reporting, and AI-driven insights while optimizing performance and accessibility
Develop automated, efficient data pipelines that extract, transform, and load (ETL/ELT) data from multiple sources, ensuring real-time access to clean, structured, and analytics-ready information.
Enable machine learning and AI by building data pipelines, feature stores, and scalable ML infrastructure that power predictive analytics, automation, and intelligent decision-making.
Migrate and modernize your data infrastructure with cloud-native solutions, reducing operational overhead, improving scalability, and unlocking the full potential of cloud computing.
Streamline and automate data workflows with DataOps best practices, enhancing collaboration, agility, and data reliability while accelerating the deployment of analytics and AI solutions.
Ensure data consistency, accuracy, and governance across your organization by centralizing critical business data into a single source of truth, reducing redundancy and improving decision-making.
Ready to chat about your Data Engineering needs?
