Data Engineering For Beginners
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Data Engineering for Beginners
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.
Becoming a Data Engineer
Author: Brahma Reddy Katam
language: en
Publisher: Independently Published
Release Date: 2024-07-26
In a world increasingly driven by data, the role of a data engineer has become indispensable. If you're looking to break into this dynamic and lucrative field, "Becoming a Data Engineer: A Beginner's Guide for 2024" is your essential roadmap. This comprehensive guide is designed for beginners who are eager to learn the skills, tools, and strategies necessary to launch a successful career in data engineering. Inside this book, you will discover: An Introduction to Data Engineering: Understand what data engineering is, why it's crucial in today's data-driven world, and the key responsibilities of a data engineer. Pathways to Success: Learn about the educational paths, certifications, and courses that will set you on the right track. Get practical advice on building a portfolio that showcases your skills and projects. Core Concepts and Technologies: Dive into fundamental concepts such as data modeling, ETL processes, and data warehousing. Get acquainted with big data technologies like Hadoop and Spark. Programming Essentials: Master the programming languages and tools that are vital for data engineering, including Python, SQL, Scala, and Java. Tools and Platforms: Explore the tools and platforms that data engineers use daily, from the Hadoop ecosystem to cloud platforms like AWS, Azure, and Google Cloud. Building and Managing Data Pipelines: Learn how to design, build, and maintain robust data pipelines. Understand the importance of workflow automation and the tools that make it possible, such as Apache Airflow and Luigi. Data Storage Solutions: Gain insights into various data storage solutions, including relational databases, NoSQL databases, and data lakes. Ensuring Data Quality and Governance: Discover best practices for maintaining data quality, governance, and compliance. Learn about the security measures needed to protect data integrity and privacy. Real-World Projects and Case Studies: See practical examples and case studies from the industry that illustrate how data engineering solutions are applied in real-world scenarios. Career Preparation: Get up-to-date insights on the job market for data engineers in 2024. Learn how to craft an impressive resume, prepare for interviews, and network effectively to boost your career prospects. Why You Need This Book: Whether you're a recent graduate, a professional seeking a career change, or an IT specialist looking to expand your skill set, this book provides the knowledge and guidance you need to succeed in the field of data engineering. With practical examples, clear explanations, and actionable advice, "Becoming a Data Engineer: A Beginner's Guide for 2024" is your gateway to mastering the art of data engineering and unlocking the potential of big data. Take the first step towards your new career today!
Introduction to Data Engineering
Author: Booker Blunt
language: en
Publisher: Independently Published
Release Date: 2025-05-27
Step into the fast-growing world of data engineering and unlock the skills that power modern data-driven companies! Introduction to Data Engineering is the perfect beginner's guide to mastering data pipelines and big data tools. Designed for newcomers and aspiring data engineers, this book walks you through the fundamentals of collecting, processing, and managing massive data flows with clarity and hands-on examples. Inside this book, you will learn how to: Understand core concepts of data engineering and its role in the data ecosystem. Build and maintain efficient data pipelines that handle real-world big data challenges. Work with popular big data tools like Apache Spark, Hadoop, Kafka, and more. Implement data ingestion, transformation, and storage strategies. Design scalable systems for data processing in cloud and on-premise environments. Prepare for real-world projects with practical exercises and expert tips. Whether you're a student, analyst, or software developer, this beginner-friendly guide will equip you with the foundational knowledge and hands-on skills to launch a successful career in data engineering. Start your journey today and become the driving force behind data innovation!