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Strategic activity mapping for software architects May 25, 2025 On the role of Distinguished Engineer and CTO Mindset Apr 27, 2025 My giant follows me wherever I go Sep 20, 2024 The day I became an architect Sep 11, 2024 Form follows fiasco Mar 31, 2024 On Amazon Prime Video’s move to a monolith May 14, 2023 One size does not fit all: neither cloud nor on-prem Apr 10, 2023 Comparing AWS SQS, SNS, and Kinesis: A Technical Breakdown for Enterprise Developers Feb 11, 2023 Why you should question the “database per service” pattern Oct 5, 2022 Monolithic repository vs a monolith Aug 23, 2022 All developers should know UNIX Jun 30, 2022 There is no such thing as one grand unified full-stack programming language May 27, 2022 Most terrifying professional artifact May 14, 2022 Best practices for building a microservice architecture Apr 25, 2022 TypeScript is a productivity problem in and of itself Apr 20, 2022 Tools of the craft Dec 18, 2021 TDWI 2019: Architecting Modern Big Data API Ecosystems May 30, 2019 Which AWS messaging and queuing service to use? Jan 25, 2019 Let’s talk cloud neutrality Sep 17, 2018 What does a Chief Software Architect do? Jun 23, 2018 Singletons in TypeScript Jul 16, 2017 Online grocers have an additional burden to be reliable Jan 5, 2017 What can we learn from the last week's salesforce.com outage ? May 15, 2016 IT departments must transform in the face of the cloud revolution Nov 9, 2015 Top Ten Differences Between ActiveMQ and Amazon SQS Sep 5, 2015 What can Evernote Teach Us About Enterprise App Architecture Apr 2, 2015 Docker can fundamentally change how you think of server deployments Aug 26, 2014

TDWI 2019: Architecting Modern Big Data API Ecosystems

May 30, 2019

In my presentation at TDWI 2019, I shared insights on architecting a modern cloud-native data API ecosystem, particularly focusing on the challenges and opportunities within the Human Capital Management (HCM) industry. I began by highlighting key trends such as the global workforce shift, the rise of the gig economy, and the importance of big data and open ecosystems. I discussed ADP's approach to innovation, emphasizing our design-driven culture and our robust R&D capabilities at the Roseland Innovation Lab. We are committed to leveraging these trends to enhance our HCM and payroll solutions, ensuring they meet the evolving needs of our clients.



I then delved into the significance of public API ecosystems in modern business landscapes. I emphasized that APIs are essential for creating long-lived, interconnected ecosystems that can drive business growth and innovation. Specifically, I introduced GraphQL, a flexible alternative to traditional REST APIs. GraphQL's ability to federate data from multiple sources, its self-documenting nature, and its support for real-time data subscriptions make it an ideal choice for modern API ecosystems. I detailed how we have implemented GraphQL at ADP, including its integration with our HCM and payroll systems, using a serverless architecture on AWS to ensure scalability and cost efficiency.



Finally, I outlined the steps we took to overcome the challenges of standardizing a global data model and implementing robust data protection measures. Our approach includes using OAuth for authentication, tokenization for sensitive data, and leveraging AWS services for secure and efficient data management. I also discussed our use of machine learning and predictive analytics to gain deeper insights from our data. By adopting these modern API patterns and technologies, we have been able to create a more discoverable, secure, and scalable data ecosystem, ultimately delivering greater value to our clients.