
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Data Engineering for Beginners
About this book
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.
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Information
Table of contents
- Cover
- Table of Contents
- Title Page
- Foreword
- Introduction
- CHAPTER 1: Understanding Data
- CHAPTER 2: Introduction to Data Engineering
- CHAPTER 3: Database Fundamentals
- CHAPTER 4: SQL Fundamentals
- CHAPTER 5: Database Design
- CHAPTER 6: Data Warehouses, Data Lakes, and Data Lakehouses
- CHAPTER 7: Data Pipelines
- CHAPTER 8: Data Quality
- CHAPTER 9: Data Security
- CHAPTER 10: Data Governance
- CHAPTER 11: Big Data and Distributed Systems
- CHAPTER 12: Data Engineering on the Cloud
- CHAPTER 13: Building a Career in Data Engineering
- APPENDIX: Sample Interview Questions
- Data Engineering Glossary
- Index
- Copyright
- Dedication
- Acknowledgments
- About the Author
- About the Technical Editor
- End User License Agreement