Nwokwu C. Data Engineering for Beginners 2026

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Nwokwu C. Data Engineering for Beginners 2026

Textbook in PDF format 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 In this lab, you will build an ETL (extract, transform, load) pipeline to process customer data from a bakery. The pipeline will extract raw data, apply necessary transformations, and load the processed data into a PostgreSQL database using Python. Additionally, you will automate the ETL process by integrating it with Apache Airflow, a widely used orchestration framework. Preface Understanding Data Introduction to Data Engineering Database Fundamentals SQL Fundamentals Database Design Data Warehouses, Data Lakes, and Data Lakehouses Data Pipelines Data Quality Data Security Data Governance Big Data and Distributed Systems Data Engineering on the Cloud Building a Career in Data Engineering APPENDIX: Sample Interview Questions