Introduction to Data Engineering: Store, Extract, and Organise Your Data

Unlock the Power of Data Engineering for Business Success

In today’s digital age, companies generate vast amounts of data daily. Yet, extracting meaningful insights from raw data can be a daunting task. This is where data engineering plays a pivotal role. Data engineering involves designing systems that collect, process, and organize data from various sources, transforming it into a usable format for data scientists and end-users. These systems enable businesses to make informed decisions, drive innovation, and maintain a competitive edge in the marketplace.

Build a Solid Foundation in Data Engineering

This one-day introductory course offers a comprehensive overview of data engineering concepts without delving into technical jargon or complex coding. Participants will learn about the data engineering lifecycle, including building data pipelines, designing data architectures, and managing data warehouses. By exploring real-world applications and challenges, you’ll gain a deeper understanding of how data engineering facilitates reliable, unified data streams that empower organizations to succeed. Whether you’re new to the field or seeking to enhance your knowledge, this course provides the essential tools to grasp the fundamental concepts of data engineering.

*Learners should have an internet-enabled laptop for this course.

Upon completion of the course, learners will be able to:

• Define and articulate the value of company data and its applications.
• Understand the core concepts and importance of data engineering in modern businesses.
• Explore data pipelines and their role in converting and organizing raw data.
• Identify frameworks for building robust data infrastructure and managing data warehouses.
• Recognize the challenges, requirements, and opportunities in data engineering.

• Professionals and individuals looking to streamline data processes and generate trustworthy data pipelines for actionable insights.
• Beginners with no prior experience in coding, programming, or computer science who want to understand data engineering concepts.
• Aspiring data enthusiasts interested in foundational knowledge to start their journey in data analytics and engineering.

"The instructor is patient and clear in his explanation. He uses useful and easy-to-understand examples to illustrate his points."

– Sylvia Sim, Senior Manager (Strategic Engagement), Elections Department

"The trainer provided good references to real-life scenarios. Understanding various data concepts was the key takeaway for this course."

– Peh Jun Zhong, Vice President, GIC Pte Ltd

"Dwight is knowledgeable and gave useful examples to aid in understanding. I have learnt what data engineering is and the important concepts/ keywords in data engineering."

– Norliza Bte Mohamed Gasaly

Dwight Fonseka: Expert in Data Analytics and Education

Dwight Fonseka is the Head Data Analyst at Plano, a cutting-edge parental control application, and an Adjunct Lecturer at the London School of Business and Finance. Since venturing into data analytics and database management in 2014, Dwight has amassed over seven years of expertise in the field. His skill set includes advanced statistics, big data analytics, cloud computing, neural networks, R programming, Python, business analytics, and data storytelling.

Dwight holds a Master’s in Education (Curriculum & Teaching), a Microsoft Certificate of Achievement (SQL), and an Advanced Certificate in Learning and Performance (ACLP). Known for his dynamic teaching style, Dwight specializes in simplifying complex data concepts for beginners and professionals alike. His workshops empower learners to harness the power of data engineering to solve real-world challenges, paving the way for success in the evolving data-driven landscape.