Data Engineering Fundamentals (Paperback)
Sandeep Kumar Pandey
ISBN 13: 9798895447284
Verlag: Notion Press, 2024
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Paperback. Data Engineering Fundamental: A Step by Step ApproachUnlock the Power of Data with Practical Guidance from a Data Engineering ExpertIn today's data-driven world, organizations thrive on the ability to harness, process, and analyze data effectively. Data Engineering Fundamental: A Step by Step Approach is the ultimate guide for aspiring data engineers, data analysts, and professionals seeking to build a robust foundation in data engineering.This comprehensive book breaks down the core concepts of data engineering, offering a practical, hands-on approach to mastering key tools and techniques. From data pipelines and ETL processes to cloud technologies and database optimization, you'll explore a wide range of topics essential for managing and transforming data at scale.Key features include: Real-World Case Studies: Apply your learning to scenarios faced by data engineers in leading industries.Step-by-Step Guides: Detailed instructions to walk you through complex data engineering processes.Tool Mastery: In-depth coverage of popular platforms such as AWS, Azure, Databricks, and SQL databases.Best Practices: Learn how to design, optimize, and maintain efficient data pipelines. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798895447284
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Data Engineering Fundamentals : A Step by Step Approach by Sandeep Kumar Pandey
Data Engineering Fundamentals : A Step by Step Approach by Sandeep Kumar Pandey
Data Engineering Fundamentals : A Step by Step Approach by Sandeep Kumar Pandey
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Titel: Data Engineering Fundamentals (Paperback)
Verlag: Notion Press
Erscheinungsdatum: 2024
Einband: Paperback
Zustand: new
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Fundamentals of Data Engineering Essential Guide (Paperback)
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Paperback. Zustand: new. Paperback. Fundamentals of Data Engineering - Essential Guide Master the Core Concepts of Data Engineering - The Backbone of Modern Data-Driven Enterprises Are you ready to break into the fast-growing world of data engineering or strengthen your foundational knowledge with an all-in-one, concise, and expertly crafted guide? This Essentials Guide on the Fundamentals of Data Engineering provides a comprehensive, beginner-friendly roadmap to understanding how raw data is transformed into powerful business insights. Whether you're a student, aspiring data engineer, data analyst, or tech-savvy professional, this book offers clear explanations and actionable insights across the entire data pipeline. What's InsideChapter 01: Data Engineering Described - Grasp the role of data engineers in today's tech landscape.Chapter 02: The Data Engineering Lifecycle - Explore each phase of the modern data workflow.Chapter 03: Designing Good Data Architecture - Learn the key principles of scalable, reliable architecture.Chapter 04: Choosing Technologies - Compare tools and platforms across the lifecycle.Chapter 05-08: From Source to Transformation - Dive deep into data generation, storage, ingestion, and transformation techniques.Chapter 09: Serving Data for Analytics, ML & Reverse ETL - Unlock the real value of your data.Chapter 10: Security and Privacy - Build secure, compliant data systems.Chapter 11: The Future of Data Engineering - Stay ahead with trends like real-time processing and data mesh.Why This Guide Stands OutWritten in clear, accessible language with real-world relevanceCovers the entire lifecycle from data generation to consumptionHelps you confidently explore career paths, tools, and techniques in data engineeringA perfect companion for bootcamps, academic courses, or self-studyUnlock the power of modern data workflows and take your first step into one of tech's most in-demand careers. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9798286372270
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Data Engineering Fundamentals (Paperback)
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Paperback. Zustand: new. Paperback. DESCRIPTION In today's data-driven world, mastering data engineering is crucial for anyone looking to build robust data pipelines and extract valuable insights. This book simplifies complex concepts and provides a clear pathway to understanding the core principles that power modern data solutions. It bridges the gap between raw data and actionable intelligence, making data engineering accessible to everyone.This book walks you through the entire data engineering lifecycle. Starting with foundational concepts and data ingestion from diverse sources, you will learn how to build efficient data lakes and warehouses. You will learn data transformation using tools like Apache Spark and the orchestration of data workflows with platforms like Airflow and Argo Workflow. Crucial aspects of data quality, governance, scalability, and performance monitoring are thoroughly covered, ensuring you understand how to maintain reliable and efficient data systems. Real-world use cases across industries like e-commerce, finance, and government illustrate practical applications, while a final section explores emerging trends such as AI integration and cloud advancements.By the end of this book, you will have a solid foundation in data engineering, along with practical skills to help enhance your career. You will be equipped to design, build, and maintain data pipelines, transforming raw data into meaningful insights.WHAT YOU WILL LEARN Understand data engineering base concepts and build scalable solutions. Master data storage, ingestion, and transformation. Orchestrates data workflows and automates pipelines for efficiency. Ensure data quality, governance, and security compliance. Monitor, optimize, and scale data solutions effectively. Explore real-world use cases and future data trends.WHO THIS BOOK IS FORThis book is for aspiring data engineers, analysts, and developers seeking a foundational understanding of data engineering. Whether you are a beginner or looking to deepen your expertise, this book provides you with the knowledge and tools to succeed in today's data engineering challenges. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9789365894967
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Data Engineering Fundamentals (Paperback)
Anbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. DESCRIPTION In today's data-driven world, mastering data engineering is crucial for anyone looking to build robust data pipelines and extract valuable insights. This book simplifies complex concepts and provides a clear pathway to understanding the core principles that power modern data solutions. It bridges the gap between raw data and actionable intelligence, making data engineering accessible to everyone.This book walks you through the entire data engineering lifecycle. Starting with foundational concepts and data ingestion from diverse sources, you will learn how to build efficient data lakes and warehouses. You will learn data transformation using tools like Apache Spark and the orchestration of data workflows with platforms like Airflow and Argo Workflow. Crucial aspects of data quality, governance, scalability, and performance monitoring are thoroughly covered, ensuring you understand how to maintain reliable and efficient data systems. Real-world use cases across industries like e-commerce, finance, and government illustrate practical applications, while a final section explores emerging trends such as AI integration and cloud advancements.By the end of this book, you will have a solid foundation in data engineering, along with practical skills to help enhance your career. You will be equipped to design, build, and maintain data pipelines, transforming raw data into meaningful insights.WHAT YOU WILL LEARN Understand data engineering base concepts and build scalable solutions. Master data storage, ingestion, and transformation. Orchestrates data workflows and automates pipelines for efficiency. Ensure data quality, governance, and security compliance. Monitor, optimize, and scale data solutions effectively. Explore real-world use cases and future data trends.WHO THIS BOOK IS FORThis book is for aspiring data engineers, analysts, and developers seeking a foundational understanding of data engineering. Whether you are a beginner or looking to deepen your expertise, this book provides you with the knowledge and tools to succeed in today's data engineering challenges. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9789365894967
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Fundamentals of Data Engineering: Plan and Build Robust Data Systems (Paperback or Softback)
Verlag:
O'Reilly Media 7/26/2022, 2022
ISBN 10: 1098108302
ISBN 13: 9781098108304
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Paperback or Softback. Zustand: New. Fundamentals of Data Engineering: Plan and Build Robust Data Systems. Book. Bestandsnummer des Verkäufers BBS-9781098108304
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Fundamentals of Data Engineering (Paperback)
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9781098108304
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Data Engineering Fundamentals: Building scalable data solutions with ETL pipelines and strategic data architecture design (English Edition) (Paperback or Softback)
Verlag:
Bpb Publications 3/30/2025, 2025
ISBN 10: 9365894964
ISBN 13: 9789365894967
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Paperback or Softback. Zustand: New. Data Engineering Fundamentals: Building scalable data solutions with ETL pipelines and strategic data architecture design (English Edition). Book. Bestandsnummer des Verkäufers BBS-9789365894967
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Data Engineering Fundamentals (Paperback)
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Paperback. Zustand: new. Paperback. DESCRIPTION In today's data-driven world, mastering data engineering is crucial for anyone looking to build robust data pipelines and extract valuable insights. This book simplifies complex concepts and provides a clear pathway to understanding the core principles that power modern data solutions. It bridges the gap between raw data and actionable intelligence, making data engineering accessible to everyone.This book walks you through the entire data engineering lifecycle. Starting with foundational concepts and data ingestion from diverse sources, you will learn how to build efficient data lakes and warehouses. You will learn data transformation using tools like Apache Spark and the orchestration of data workflows with platforms like Airflow and Argo Workflow. Crucial aspects of data quality, governance, scalability, and performance monitoring are thoroughly covered, ensuring you understand how to maintain reliable and efficient data systems. Real-world use cases across industries like e-commerce, finance, and government illustrate practical applications, while a final section explores emerging trends such as AI integration and cloud advancements.By the end of this book, you will have a solid foundation in data engineering, along with practical skills to help enhance your career. You will be equipped to design, build, and maintain data pipelines, transforming raw data into meaningful insights.WHAT YOU WILL LEARN Understand data engineering base concepts and build scalable solutions. Master data storage, ingestion, and transformation. Orchestrates data workflows and automates pipelines for efficiency. Ensure data quality, governance, and security compliance. Monitor, optimize, and scale data solutions effectively. Explore real-world use cases and future data trends.WHO THIS BOOK IS FORThis book is for aspiring data engineers, analysts, and developers seeking a foundational understanding of data engineering. Whether you are a beginner or looking to deepen your expertise, this book provides you with the knowledge and tools to succeed in today's data engineering challenges. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9789365894967
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Fundamentals of Data Engineering (Paperback)
Print-on-DemandAnbieter: CitiRetail, Stevenage, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Bestandsnummer des Verkäufers 9781098108304
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Fundamentals of Data Engineering (Paperback)
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: new. Paperback. Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Bestandsnummer des Verkäufers 9781098108304
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