Başlık:
Data engineering for beginners
Yazar:
Nwokwu, Chisom, author.
ISBN:
9781394352579
9781394325429
9781394325436
Fiziksel Tanımlama:
1 online resource
Seri:
Tech today
İçerik:
Cover -- Title Page -- Copyright Page -- Acknowledgments -- About the Author -- About the Technical Editor -- Contents at a Glance -- Contents -- Foreword -- Introduction -- What Does This Book Cover? -- Who Should Read This Book? -- Chapter 1 Understanding Data -- A Brief History of Data -- Data in 19,000 BCE: The Great Baboon and Abacus -- Data in the 1600s: Public Health Statistics -- Data in the 1800s: The U.S. Census -- Data in the 1900s: The Concept of Storage -- Data in the 1990s: Data and the Internet -- Types of Data -- Structured Data -- Unstructured Data -- Semi-structured Data
Why Is Data Important? -- Healthcare -- Supply Chain -- Transportation and Logistics -- Artificial Intelligence -- Data and Information -- Summary -- Notes -- Chapter 2 Introduction to Data Engineering -- Data Engineering Explained Using an Oil Refinery Analogy -- An Overview of the Data Engineering Life Cycle -- Data Storage -- Data Ingestion -- Data Transformation -- Data Serving -- Navigating Project Requirements, Engaging Stakeholders, and Delivering Business Value -- Requirements Gathering -- Understanding Stakeholders -- Understanding System Requirements -- Delivering Business Value
The Current State of Data Engineering -- The Importance of Data Engineering -- Summary -- Chapter 3 Database Fundamentals -- Key Concepts of Databases -- Rows -- Columns -- Schema -- Keys -- Types of Databases -- Relational Databases -- NoSQL Databases -- Choosing Between Relational and NoSQL Databases -- Start with Your Data's Structure -- Think About the Relationships in Your Data -- How Fast Do You Need to Move? -- How Do You Need to Query Your Data? -- Scaling and Performance -- Transaction and Strong Consistency Needs -- Summary -- Chapter 4 SQL Fundamentals -- Introduction to SQL
Basic SQL Clauses -- Comparison Operators -- LIKE Statement -- IN Statement -- BETWEEN Statement -- AND Statement -- OR Statement -- NOT Statement -- IS NULL and IS NOT NULL Statements -- Sorting and Limiting -- Aggregate Functions -- SUM() -- AVG() -- MAX() and MIN() -- GROUP BY -- HAVING -- Understanding Joins -- INNER JOIN -- LEFT JOIN -- RIGHT JOIN -- FULL OUTER JOIN -- Subqueries -- Common Table Expressions (CTEs) -- Set Operations -- Window Functions -- Lab: Setting Up SQL Server and Running SQL Queries -- Best Practices for Writing Efficient SQL Queries -- Summary
Chapter 5 Database Design -- Data Modeling -- Why Do We Need to Model Data? -- Types of Data Modeling -- Normalization -- Rules of Normalization -- Downsides of Normalization -- Denormalization -- Data Modeling Best Practices -- Define the Grain -- Normalize Now, Denormalize Later -- Choose the Right Data Types -- Proper Naming Conventions -- Database Optimization -- Indexing -- Partitioning -- Sharding -- Views -- Summary -- Chapter 6 Data Warehouses, Data Lakes, and Data Lakehouses -- Data Warehouses -- Extract, Transform, and Load (ETL) -- Schema Design -- Snowflake Schema
Özet:
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.
Notlar:
John Wiley and Sons
Elektronik Erişim:
https://onlinelibrary.wiley.com/doi/book/10.1002/9781394352579Kopya:
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Kütüphane | Materyal Türü | Demirbaş Numarası | Yer Numarası | Durumu/İade Tarihi | Materyal Ayırtma |
|---|---|---|---|---|---|
Arıyor... | E-Kitap | 600251-1001 | QA76.9 .B45 N86 2026 | Arıyor... | Arıyor... |