Data Executive Series: Data Pipeline

This transformative course offers a comprehensive overview of how Digital Transformation and Industry 4.0 are intricately linked with advanced DevOps practices. The program begins with the basics of digital transformation, discussing the significance of technology innovation and the critical role of data pipelines in current digital strategies. It then transitions to an in-depth examination of DevOps Frameworks, demonstrating how these methodologies enable organizations to operate more dynamically and in compliance with regulatory standards. As students progress, they will be introduced to the core components of Continuous Integration and Continuous Delivery (CI/CD), infrastructure as code, and version control, providing a foundational understanding of modern software development and deployment. The curriculum also covers essential DevOps tools such as Git, GitLab, Jenkins, cloud technologies, and containerization with Docker and Kubernetes. A detailed section on Data Pipelines will showcase hands-on techniques to write, test, develop code, and ensure security compliance. By the end of the course, participants will have a solid grasp of how to integrate DevOps practices into their workflow to enhance efficiency, reliability, and performance in software development and data management operations.

Upon completion,

1. Participants will grasp the core concepts of digital transformation, understanding the role of DevOps in enabling rapid and efficient delivery of services.
2. Learners will gain knowledge of the CI/CD pipeline components, infrastructure as code, version control, integration, delivery, deployment, and monitoring.
3. The course will introduce attendees to DevOps tools like Git, Jenkins, Docker, and Kubernetes for software development.
4. Students will understand constructing and managing data pipelines, emphasizing build, unit testing, integration testing, and security compliance.

1. Software developers seeking to integrate DevOps practices into their workflow for enhanced productivity and collaboration.
2. IT professionals aiming to implement CI/CD pipelines and infrastructure as code for better software deployment strategies.
3. System administrators looking to leverage version control and automated deployment tools to maintain modern infrastructure.
4. Project managers and team leads aspiring to streamline software delivery processes using DevOps methodologies and tools.
5. Compliance officers responsible for ensuring software development processes meet regulatory and security requirements.

Dwight graduated with a degree in Biotechnology (from NUS in 2001), Advanced diploma in Pharmaceutical management (from MDIS in 2007) and Masters in Education (from NTU in 2013). In 2014, Dwight ventured into Data Analytics and Database Management and picked up Statistics/Machine Learning, Big Data analytics, text mining & social media analytics and web applications. His other expertise includes data science programming languages such as R and Python. He is also deeply passionate in deep learning using sequential models and sequence to sequence models using Keras and h2oAI machine & deep learning platforms and libraries. He is also a Senior Data Analyst, where he performs data analytics and create predictive models using healthcare data.