Isbn: 9798314022474 - hands-on data engineering: from zero to production (11 resultados)

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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

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Paperback. Condición: new. Paperback. Introduction: Data Engineering - From Zero to ProductionWelcome to Hands-On Data Engineering: From Zero to Production, your practical guide to building real-world data pipelines. This book isn't about abstract theory; it's a hands-on journey that takes you from foundational concepts to implementing a fully functional, production-ready data engineering project.Why This Book?In today's data-driven world, effective data engineering is the backbone of any successful organization. The ability to collect, store, transform, and analyze data at scale is crucial for gaining a competitive edge, making informed decisions, and driving innovation. This book bridges the gap between theoretical knowledge and practical skills, equipping you with the expertise to design, build, and manage robust data pipelines.What You'll LearnBy the end of this book, you'll be able to: Understand the Fundamentals: Grasp core data engineering principles, including data collection, storage architectures (Data Lakes, Data Warehouses, and Lakehouses), and ETL processes.Understand Essential Technologies: Gain hands-on experience with Python, Apache Airflow, and a range of popular databases: MSSQL: For transactional data and enterprise-level integrations.PostgreSQL: For analytical workloads and as a staging database.MySQL: For lightweight and quick data storage needs.BigQuery: For scalable, serverless data warehousing in the cloud.Build Scalable Data Pipelines: Design and implement data pipelines capable of handling thousands of tasks using Apache Airflow and Python.Tackle Real-World Challenges: Address memory constraints when dealing with large datasets, build incremental pipelines, and design pipelines for different data synchronization scenarios.Construct a Common Framework: Develop robust, reusable, and scalable data synchronization frameworks to automate and speed up pipeline development.Who This Book Is ForThis book is for anyone who wants to become a proficient data engineer. Whether you're a software engineer, data scientist, or IT professional looking to expand your skillset, this book will provide you with the knowledge and practical experience you need to succeed. No prior data engineering experience is required.Embark on Your Data Engineering JourneyGet ready to roll up your sleeves and dive into the world of data engineering. Let's begin building your journey from zero to production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condición: New.

Paperback. Condición: new. Paperback. Introduction: Data Engineering - From Zero to ProductionWelcome to Hands-On Data Engineering: From Zero to Production, your practical guide to building real-world data pipelines. This book isn't about abstract theory; it's a hands-on journey that takes you from foundational concepts to implementing a fully functional, production-ready data engineering project.Why This Book?In today's data-driven world, effective data engineering is the backbone of any successful organization. The ability to collect, store, transform, and analyze data at scale is crucial for gaining a competitive edge, making informed decisions, and driving innovation. This book bridges the gap between theoretical knowledge and practical skills, equipping you with the expertise to design, build, and manage robust data pipelines.What You'll LearnBy the end of this book, you'll be able to: Understand the Fundamentals: Grasp core data engineering principles, including data collection, storage architectures (Data Lakes, Data Warehouses, and Lakehouses), and ETL processes.Understand Essential Technologies: Gain hands-on experience with Python, Apache Airflow, and a range of popular databases: MSSQL: For transactional data and enterprise-level integrations.PostgreSQL: For analytical workloads and as a staging database.MySQL: For lightweight and quick data storage needs.BigQuery: For scalable, serverless data warehousing in the cloud.Build Scalable Data Pipelines: Design and implement data pipelines capable of handling thousands of tasks using Apache Airflow and Python.Tackle Real-World Challenges: Address memory constraints when dealing with large datasets, build incremental pipelines, and design pipelines for different data synchronization scenarios.Construct a Common Framework: Develop robust, reusable, and scalable data synchronization frameworks to automate and speed up pipeline development.Who This Book Is ForThis book is for anyone who wants to become a proficient data engineer. Whether you're a software engineer, data scientist, or IT professional looking to expand your skillset, this book will provide you with the knowledge and practical experience you need to succeed. No prior data engineering experience is required.Embark on Your Data Engineering JourneyGet ready to roll up your sleeves and dive into the world of data engineering. Let's begin building your journey from zero to production. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…