Modern Data: From Ingestion to Production

Author:   Kelvin Lin
Publisher:   Self Publisher
ISBN:  

9798348464271


Pages:   224
Publication Date:   24 January 2026
Format:   Paperback
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Our Price $31.65 Quantity:  
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Modern Data: From Ingestion to Production


Overview

Modern Data: From Ingestion to Production is your entry point into one of the fastest growing careers in technology today. Data engineering has become the backbone of analytics, machine learning, and digital strategy. Salaries reflect this demand, with U.S. data engineers averaging around $130,000 and top earners exceeding $200,000 in major tech hubs. This book dives into the world of modern data systems, from databases and warehouses to data lakes and streaming platforms. It shows how data pipelines are built, orchestrated, and scaled to turn raw information into insight while tackling real-world challenges in governance, security, and sustainability. Whether you are launching your career, transitioning into data engineering, or simply curious, this first edition offers both a practical foundation and a broad perspective on a discipline that has become central to the 21st-century digital economy.

Full Product Details

Author:   Kelvin Lin
Publisher:   Self Publisher
Imprint:   Self Publisher
Dimensions:   Width: 15.20cm , Height: 1.20cm , Length: 22.90cm
Weight:   0.304kg
ISBN:  

9798348464271


Pages:   224
Publication Date:   24 January 2026
Audience:   General/trade ,  General
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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Author Information

Hi there! My name is Kelvin Lin and I am a software/data engineer based out of Boston, Massachusetts. My areas of expertise are in software development, data engineering/pipelining, and data science/mining for business intelligence. In my free time, I am passionate about teaching others about technology through visual and written forms.

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Latest Reading Guide

MRG 26 2

 

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