A hands-on technical and industry roadmap for aspiring data engineers

In Data Engineering for Beginners, big data expert Chisom Nwokwu delivers a beginner-friendly handbook for everyone interested in the fundamentals of data engineering. Whether you're interested in starting a rewarding, new career as a data analyst, data engineer, or data scientist, or seeking to expand your skillset in an existing engineering role, Nwokwu offers the technical and industry knowledge you need to succeed.

The book explains:

• Database fundamentals, including relational and noSQL databases
• Data warehouses and data lakes
• Data pipelines, including info about batch and stream processing
• Data quality dimensions
• Data security principles, including data encryption
• Data governance principles and data framework
• Big data and distributed systems concepts
• Data engineering on the cloud
• Essential skills and tools for data engineering interviews and jobs

Data Engineering for Beginners offers an easy-to-read roadmap on a seemingly complicated and intimidating subject. It addresses the topics most likely to cause a beginning data engineer to stumble, clearly explaining key concepts in an accessible way. You'll also find:

• A comprehensive glossary of data engineering terms
• Common and practical career paths in the data engineering industry
• An introduction to key cloud technologies and services you may encounter early in your data engineering career

Perfect for practicing and aspiring data analysts, data scientists, and data engineers, Data Engineering for Beginners is an effective and reliable starting point for learning an in-demand skill. It's a powerful resource for everyone hoping to expand their data engineering Skillset and upskill in the big data era.

CHISOM NWOKWU, is a Big-Data Engineer, Multi-Published Author, and Creator specialising in the design and development of scalable data platforms for teams. She’s an Azure Certified Data Engineer Associate who has worked with large international firms, including Microsoft and Bank of America.