👷 Data Engineers

A window into the often-invisible profession that builds the pipelines, architectures, and infrastructure making modern data science possible — the plumbers of the information age.

Fundamentals of Data Engineering

by Joe Reis • 2022

Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.

4.16

945

🛠️ Data Engineering 🏗️ Data Architecture 🔗 Data Pipelines

Fundamentals of Data Engineering Summary

Fundamentals of Data Engineering 92%

Data scientists spend 80% of their time cleaning data. The systems blueprint that frees them.

by Joe Reis 2022

4.16

945 ratings

🛠️ Data Engineering 🏗️ Data Architecture 🔗 Data Pipelines

Hadoop

by Tom White • 2009

How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.

3.93

1k+

📊 Big Data 🖧 Distributed Systems 🐘 Hadoop Ecosystem

Hadoop 91%

How to turn cheap servers into a petabyte-scale data platform, from HDFS to real-time streaming.

by Tom White 2009

3.93

1k+ ratings

📊 Big Data 🖧 Distributed Systems 🐘 Hadoop Ecosystem

Graph Databases

by Ian Robinson • 2013

Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.

3.64

437

🕸️ Graph Databases 🗄️ Nosql Databases 📐 Graph Theory

Graph Databases 90%

Relational databases fail on connected data. Graph databases traverse deep links in milliseconds.

by Ian Robinson 2013

3.64

437 ratings

🕸️ Graph Databases 🗄️ Nosql Databases 📐 Graph Theory

Data Strategy

by Bernard Marr • 2017

Profit from the data firehose: pick the right data, build a company that acts on it.

3.77

418

📊 Data Strategy 📈 Business Intelligence 💾 Big Data

Data Strategy 90%

Profit from the data firehose: pick the right data, build a company that acts on it.

by Bernard Marr 2017

3.77

418 ratings

📊 Data Strategy 📈 Business Intelligence 💾 Big Data

Python for Geeks

by Muhammad Asif • 2021

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

4.50

🐍 Python Programming ⚙️ Machine Learning Engineering 📊 Data Science

Python for Geeks 90%

Machine learning from notebook to production: Python libraries, data prep, and deployment paths.

by Muhammad Asif 2021

4.50

8 ratings

🐍 Python Programming ⚙️ Machine Learning Engineering 📊 Data Science

Doing Data Science

by Cathy O'Neil • 2013

Your model is lying to you. The ninety percent of data science that algorithms won't fix.

3.73

567

📊 Data Science 📈 Statistical Thinking 🧹 Data Wrangling

Doing Data Science 89%

Your model is lying to you. The ninety percent of data science that algorithms won't fix.

by Cathy O'Neil 2013

3.73

567 ratings

📊 Data Science 📈 Statistical Thinking 🧹 Data Wrangling

Confident Data Skills

by Kirill Eremenko • 2018

From messy data to clean insights to persuasive presentations: the process that lands the promotion.

4.12

211

📊 Data Science 📖 Data Literacy 🤖 Machine Learning Basics

Confident Data Skills 89%

From messy data to clean insights to persuasive presentations: the process that lands the promotion.

by Kirill Eremenko 2018

4.12

211 ratings

📊 Data Science 📖 Data Literacy 🤖 Machine Learning Basics

Why Data Science Projects Fail

by Douglas Gray • 2024

Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.

5.00

📊 Data Science Management 🤖 Ai Implementation ⚙️ Mlops

Why Data Science Projects Fail 89%

Eighty percent of AI projects fail. The models work fine; the people, data, and expectations don't.

by Douglas Gray 2024

5.00

19 ratings

📊 Data Science Management 🤖 Ai Implementation ⚙️ Mlops

Data Science for Business

by Foster Provost • 2013

Why overfitting sinks most data projects, and the conceptual tools that stop it.

4.13

3k+

📊 Business Analytics ⛏️ Data Mining 📏 Model Evaluation

Data Science for Business 89%

Why overfitting sinks most data projects, and the conceptual tools that stop it.

by Foster Provost 2013

4.13

3k+ ratings

📊 Business Analytics ⛏️ Data Mining 📏 Model Evaluation

DAMA-DMBOK

by DAMA International • 2017

Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.

4.15

172

👔 Data Governance 🏢 Enterprise Data Strategy 🧱 Data Architecture

DAMA-DMBOK 89%

Data is an asset, not a byproduct. The master reference for governing, modeling, and analyzing it.

by DAMA International 2017

4.15

172 ratings

👔 Data Governance 🏢 Enterprise Data Strategy 🧱 Data Architecture

An Elegant Puzzle

by Will Larson • 2019

Engineering management is a systems problem. Design your org as carefully as your code.

4.07

4k+

🛠️ Engineering Management 🏗️ Organizational Design 🧠 Systems Thinking

An Elegant Puzzle 89%

Engineering management is a systems problem. Design your org as carefully as your code.

by Will Larson 2019

4.07

4k+ ratings

🛠️ Engineering Management 🏗️ Organizational Design 🧠 Systems Thinking

Python for Data Analysis

by Wes McKinney • 2011

The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.

4.17

2k+

🧹 Data Wrangling 🔬 Scientific Computing 📊 Data Visualization

Python for Data Analysis 89%

The pandas creator teaches the full Python data pipeline: messy files in, statistical models out.

by Wes McKinney 2011

4.17

2k+ ratings

🧹 Data Wrangling 🔬 Scientific Computing 📊 Data Visualization

Platform Engineering

by Camille Fournier • 2024

Platform teams fail without product thinking. How to build internal tools developers actually love.

4.03

119

🏗️ Platform Engineering 👥 Engineering Management 💡 Product Thinking

Platform Engineering 89%

Platform teams fail without product thinking. How to build internal tools developers actually love.

by Camille Fournier 2024

4.03

119 ratings

🏗️ Platform Engineering 👥 Engineering Management 💡 Product Thinking

The Software Engineer's Guidebook

by Gergely Orosz • 2023

The career path beyond senior engineer: what promotion panels evaluate, from startups to Big Tech.

4.08

799

💻 Software Engineering 🧭 Tech Careers 🏗️ Engineering Leadership

The Software Engineer's Guidebook Summary

The Software Engineer's Guidebook 89%

The career path beyond senior engineer: what promotion panels evaluate, from startups to Big Tech.

by Gergely Orosz 2023

4.08

799 ratings

💻 Software Engineering 🧭 Tech Careers 🏗️ Engineering Leadership

Introduction to Machine Learning with Python

by Andreas C. Müller • 2015

Build models that generalize, not just memorize: a Python data scientist's guide.

4.33

600

🤖 Applied Machine Learning 📊 Data Science 🏷️ Supervised Learning

Introduction to Machine Learning with Python Summary

Introduction to Machine Learning with Python 89%

Build models that generalize, not just memorize: a Python data scientist's guide.

by Andreas C. Müller 2015

4.33

600 ratings

🤖 Applied Machine Learning 📊 Data Science 🏷️ Supervised Learning

Site Reliability Engineering

by Betsy Beyer • 2016

Google's operations playbook: why perfect uptime is the wrong target, and what to build instead.

4.21

3k+

🧰 Site Reliability 🔄 Devops Culture 🌐 Distributed Systems

Site Reliability Engineering 89%

Google's operations playbook: why perfect uptime is the wrong target, and what to build instead.

by Betsy Beyer 2016

4.21

3k+ ratings

🧰 Site Reliability 🔄 Devops Culture 🌐 Distributed Systems

Python Machine Learning Case Studies

by Danish Haroon • 2017

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

2.60

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis

Python Machine Learning Case Studies Summary

Python Machine Learning Case Studies 89%

Five Python case studies in machine learning: from data cleanup to a scored model, step by step.

by Danish Haroon 2017

2.60

5 ratings

📊 Data Science 🤖 Machine Learning 🔍 Exploratory Data Analysis

Data Science

by John D. Kelleher • 2018

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

3.90

876

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling

Data Science 89%

Turning raw data into decisions requires a defined process, not just algorithms and statistics.

by John D. Kelleher 2018

3.90

876 ratings

🔎 Data Mining 🧭 Data Science Methodology 📈 Predictive Modeling

Low-Code AI

by Gwendolyn Stripling • 2023

Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.

4.33

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering

Low-Code AI 89%

Skip Python. Train regression models, engineer features, and explain predictions, all in SQL.

by Gwendolyn Stripling 2023

4.33

6 ratings

🛠️ Practical Ml 📊 Data Exploration 🔧 Feature Engineering

Designing Data-Intensive Applications

by Martin Kleppmann • 2015

Networks fail, clocks drift, consensus is elusive. The big ideas behind systems that work anyway.

4.70

11k+

🖥️ Distributed Systems 🗄️ Database Design 🤝 Consensus Algorithms

Designing Data-Intensive Applications Summary

Designing Data-Intensive Applications 89%

Networks fail, clocks drift, consensus is elusive. The big ideas behind systems that work anyway.

by Martin Kleppmann 2015

4.70

11k+ ratings

🖥️ Distributed Systems 🗄️ Database Design 🤝 Consensus Algorithms

Deep Learning with Python

by François Chollet • 2017

The Keras creator teaches you to build neural networks that see, read, and create in Python.

4.57

1k+

🧠 Deep Learning 🐍 Python Programming 🏋️ Model Training

Deep Learning with Python 89%

The Keras creator teaches you to build neural networks that see, read, and create in Python.

by François Chollet 2017

4.57

1k+ ratings

🧠 Deep Learning 🐍 Python Programming 🏋️ Model Training

The Missing README

by Chris Riccomini • 2021

Ship code safely, survive on-call, and manage your boss: the handbook no bootcamp assigns.

4.40

437

🛠️ Software Engineering 🧑‍💻 New Engineers 🧪 Code Quality

The Missing README 89%

Ship code safely, survive on-call, and manage your boss: the handbook no bootcamp assigns.

by Chris Riccomini 2021

4.40

437 ratings

🛠️ Software Engineering 🧑‍💻 New Engineers 🧪 Code Quality

Python Data Science Handbook

by Jake VanderPlas • 2016

Four libraries, one workflow: the Python path from raw data to validated predictions.

4.29

676

📊 Data Science 🤖 Machine Learning 🐍 Scientific Python

Python Data Science Handbook 89%

Four libraries, one workflow: the Python path from raw data to validated predictions.

by Jake VanderPlas 2016

4.29

676 ratings

📊 Data Science 🤖 Machine Learning 🐍 Scientific Python

Practical SQL

by Anthony DeBarros • 2022

Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.

4.26

239

💾 Sql 📊 Data Analysis 🗃️ Relational Databases

Practical SQL 89%

Write real SQL: load data, join tables, run statistics, map locations, and query JSON in PostgreSQL.

by Anthony DeBarros 2022

4.26

239 ratings

💾 Sql 📊 Data Analysis 🗃️ Relational Databases

The Site Reliability Workbook

by Betsy Beyer • 2018

Reliability as math: SLOs, error budgets, canarying, and the team practices that make it stick.

4.36

405

🛠️ Site Reliability Engineering 🚀 Devops Practices 🔥 Incident Management

The Site Reliability Workbook 89%

Reliability as math: SLOs, error budgets, canarying, and the team practices that make it stick.

by Betsy Beyer 2018

4.36

405 ratings

🛠️ Site Reliability Engineering 🚀 Devops Practices 🔥 Incident Management

Python Data Science

by Christopher Wilkinson • 2019

Python taught for data science: syntax, data structures, and the libraries that unlock the field.

2.50

🐍 Python Programming 📊 Data Science 📐 Programming Fundamentals

Python Data Science 89%

Python taught for data science: syntax, data structures, and the libraries that unlock the field.

by Christopher Wilkinson 2019

2.50

2 ratings

🐍 Python Programming 📊 Data Science 📐 Programming Fundamentals

The AI Playbook

by Eric Siegel • 2024

How to get machine learning out of the lab: sell the operational improvement, not the algorithm.

3.98

127

🏢 Enterprise Technology 🤖 Applied Ai 🔄 Change Management

The AI Playbook 89%

How to get machine learning out of the lab: sell the operational improvement, not the algorithm.

by Eric Siegel 2024

3.98

127 ratings

🏢 Enterprise Technology 🤖 Applied Ai 🔄 Change Management

Data Analytics Made Accessible

by Anil Maheshwari • 2014

Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.

3.76

323

🧱 Data Analytics 📊 Business Intelligence ⛏️ Data Mining

Data Analytics Made Accessible 89%

Every analytics technique a manager needs, from decision trees to big data, mapped and demystified.

by Anil Maheshwari 2014

3.76

323 ratings

🧱 Data Analytics 📊 Business Intelligence ⛏️ Data Mining

Head First SQL

by Lynn Beighley • 2007

Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.

4.01

557

📊 Data Analytics Careers 🗄️ Relational Databases 🔮 Predictive Modeling

Head First SQL 89%

Excel, SQL, and the predictive powers that turn a report puller into a company’s oracle.

by Lynn Beighley 2007

4.01

557 ratings

📊 Data Analytics Careers 🗄️ Relational Databases 🔮 Predictive Modeling

Release It!

by Michael T. Nygard • 2007

QA says your software is ready. Production disagrees. The patterns that close the gap.

4.25

3k+

🏗️ Software Architecture 🌐 Distributed Systems 🛡️ Fault Tolerance

Release It! 88%

QA says your software is ready. Production disagrees. The patterns that close the gap.

by Michael T. Nygard 2007

4.25

3k+ ratings

🏗️ Software Architecture 🌐 Distributed Systems 🛡️ Fault Tolerance

The Mythical Man-Month

by Frederick P. Brooks Jr. • 1975

A late software project plus more programmers equals a later one. The essays that proved it.

4.01

15k+

🏗️ Software Project Management 🧱 Systems Design 🎨 Conceptual Design

The Mythical Man-Month 88%

A late software project plus more programmers equals a later one. The essays that proved it.

by Frederick P. Brooks Jr. 1975

4.01

15k+ ratings

🏗️ Software Project Management 🧱 Systems Design 🎨 Conceptual Design

Modern Software Engineering

by David Farley • 2021

Software is not a craft; it's a science. The discipline that turns teams into learning machines.

4.16

1k+

🔬 Scientific Engineering 🔄 Continuous Delivery 🔁 Feedback Loops

Modern Software Engineering 88%

Software is not a craft; it's a science. The discipline that turns teams into learning machines.

by David Farley 2021

4.16

1k+ ratings

🔬 Scientific Engineering 🔄 Continuous Delivery 🔁 Feedback Loops

The Engineering Executive's Primer

by Will Larson • 2024

Values you can flip, metrics your CEO reads, and the one rule for build vs. buy.

4.25

407

⚙️ Engineering Leadership 📊 Engineering Metrics 🗺️ Technical Strategy

The Engineering Executive's Primer Summary

The Engineering Executive's Primer 88%

Values you can flip, metrics your CEO reads, and the one rule for build vs. buy.

by Will Larson 2024

4.25

407 ratings

⚙️ Engineering Leadership 📊 Engineering Metrics 🗺️ Technical Strategy

Unwritten Laws of Engineering

by W.J. King • 2011

Engineers' professional rules that school never taught: delegation, accountability, earning trust.

4.10

658

🏗️ Engineering Management 🛠️ Professionalism ⚖️ Workplace Ethics

Unwritten Laws of Engineering 88%

Engineers' professional rules that school never taught: delegation, accountability, earning trust.

by W.J. King 2011

4.10

658 ratings

🏗️ Engineering Management 🛠️ Professionalism ⚖️ Workplace Ethics

Effective Programming

by Jeff Atwood • 2012

Syntax lands the job. Everything else—teams, users, security—is what actually keeps it.

3.91

931

🧱 Software Craftsmanship 🖥️ User Experience Design 🔒 Security-First Design

Effective Programming 88%

Syntax lands the job. Everything else—teams, users, security—is what actually keeps it.

by Jeff Atwood 2012

3.91

931 ratings

🧱 Software Craftsmanship 🖥️ User Experience Design 🔒 Security-First Design

Salesforce Data Architecture and Management

by Ahsan Zafar • 2021

A million records in Salesforce will break your org. The architecture rules that stop it.

3.33

🏢 Salesforce Platform 🏗️ Data Architecture 📊 Data Management

Salesforce Data Architecture and Management Summary

Salesforce Data Architecture and Management 88%

A million records in Salesforce will break your org. The architecture rules that stop it.

by Ahsan Zafar 2021

3.33

3 ratings

🏢 Salesforce Platform 🏗️ Data Architecture 📊 Data Management

The Art of SQL

by Stephane Faroult • 2006

SQL performance lives in the gap between relational theory and disk reality.

3.98

170

🗄️ Database Design 🚀 Query Optimization 🏭 Data Warehousing

The Art of SQL 88%

SQL performance lives in the gap between relational theory and disk reality.

by Stephane Faroult 2006

3.98

170 ratings

🗄️ Database Design 🚀 Query Optimization 🏭 Data Warehousing

The Effective Engineer

by Edmond Lau • 2015

You can't outwork poor leverage. The principles that make engineering effort compound.

4.25

2k+

🛠️ Software Craftsmanship ⚡ Engineering Productivity 📈 Tech Career Growth

The Effective Engineer 88%

You can't outwork poor leverage. The principles that make engineering effort compound.

by Edmond Lau 2015

4.25

2k+ ratings

🛠️ Software Craftsmanship ⚡ Engineering Productivity 📈 Tech Career Growth

More Joel on Software

by Joel Spolsky • 2008

Ship on schedule, hire developers who skip the job boards, and know when fixing beats rewriting.

4.05

549

🖥️ Software Development 👔 Engineering Management 🤝 Developer Culture

More Joel on Software 88%

Ship on schedule, hire developers who skip the job boards, and know when fixing beats rewriting.

by Joel Spolsky 2008

4.05

549 ratings

🖥️ Software Development 👔 Engineering Management 🤝 Developer Culture

Information Asset Management

by Nina Evans • 2024

Information is the strategic asset your balance sheet ignores. Governing it changes everything.

🏛️ Information Governance ✅ Data Quality 🏷️ Metadata Management

Information Asset Management 88%

Information is the strategic asset your balance sheet ignores. Governing it changes everything.

by Nina Evans 2024

🏛️ Information Governance ✅ Data Quality 🏷️ Metadata Management

PYTHON FOR DATA ANALYSIS

by Ryshith Doyle • 2019

The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.

3.67

🐍 Python Programming 📊 Data Analysis 🧹 Data Wrangling

PYTHON FOR DATA ANALYSIS 88%

The systematic NumPy and Pandas walkthrough: import, clean, combine, and analyze data in Python.

by Ryshith Doyle 2019

3.67

6 ratings

🐍 Python Programming 📊 Data Analysis 🧹 Data Wrangling

Ansible

by Lorin Hochstein • 2014

No agents required. Automate configuration and deployment with playbooks you can actually read.

3.88

270

🔧 Configuration Management 📋 Infrastructure As Code 🛠️ Devops Tooling

Ansible 88%

No agents required. Automate configuration and deployment with playbooks you can actually read.

by Lorin Hochstein 2014

3.88

270 ratings

🔧 Configuration Management 📋 Infrastructure As Code 🛠️ Devops Tooling

Production-Ready Microservices

by Susan J. Fowler • 2016

Your microservice isn't production-ready by default. Here's the org-wide framework to change that.

3.82

460

🧱 Microservices 🏗️ Software Architecture 🌐 Distributed Systems

Production-Ready Microservices 88%

Your microservice isn't production-ready by default. Here's the org-wide framework to change that.

by Susan J. Fowler 2016

3.82

460 ratings

🧱 Microservices 🏗️ Software Architecture 🌐 Distributed Systems

The DevOps Handbook

by Gene Kim • 2015

Speed and stability without the tradeoff. A practical handbook for unifying your delivery pipeline.

4.29

6k+

🛠️ Devops 📦 Software Delivery 🔄 Continuous Delivery

The DevOps Handbook 88%

Speed and stability without the tradeoff. A practical handbook for unifying your delivery pipeline.

by Gene Kim 2015

4.29

6k+ ratings

🛠️ Devops 📦 Software Delivery 🔄 Continuous Delivery

Python for Data Analysis

by Oscar Scratch • 2019

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

3.50

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization

Python for Data Analysis 88%

Python data analysis, taught through questions: NumPy, Pandas, and the bridge to machine learning.

by Oscar Scratch 2019

3.50

2 ratings

🧮 Scientific Computing 🔄 Data Manipulation 📊 Data Visualization

Big Data

by Viktor Mayer-Schönberger • 2013

The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.

3.69

9k+

💰 Data As Asset 📈 Predictive Analytics 🧹 Imperfect Data

Big Data 88%

The era of sampling, clean data, and causal certainty is over. What replaces it is stranger.

by Viktor Mayer-Schönberger 2013

3.69

9k+ ratings

💰 Data As Asset 📈 Predictive Analytics 🧹 Imperfect Data

AI Value Creators

by Paul Zikopoulos • 2025

Most AI adopters stay users. Value creators build on proprietary data and governed models instead.

3.66

🏢 Enterprise AI 🔄 Digital Transformation 📊 Data Strategy

AI Value Creators 88%

Most AI adopters stay users. Value creators build on proprietary data and governed models instead.

by Paul Zikopoulos 2025

3.66

44 ratings

🏢 Enterprise AI 🔄 Digital Transformation 📊 Data Strategy

Cracking the Coding Interview

by Gayle Laakmann McDowell • 2020

189 interview problems that teach you to think out loud, because code follows from thinking.

4.33

476

🧑‍💻 Coding Interviews 🧠 Algorithm Problems 🗂️ Data Structures

Cracking the Coding Interview 88%

189 interview problems that teach you to think out loud, because code follows from thinking.

by Gayle Laakmann McDowell 2020

4.33

476 ratings

🧑‍💻 Coding Interviews 🧠 Algorithm Problems 🗂️ Data Structures

Data Mining Techniques

by Michael J.A. Berry • 1997

How to pull business answers from transaction data using six core data mining techniques.

4.06

233

📊 Data-Driven Marketing 📈 Customer Analytics ⛏️ Data Mining

Data Mining Techniques 88%

How to pull business answers from transaction data using six core data mining techniques.

by Michael J.A. Berry 1997

4.06

233 ratings

📊 Data-Driven Marketing 📈 Customer Analytics ⛏️ Data Mining

Accelerate

by Nicole Forsgren • 2018

Elite software teams ship fast and break nothing. Four metrics from years of research explain how.

4.05

8k+

⚙️ Devops 👷 Engineering Management 🚀 Continuous Delivery

Accelerate 88%

Elite software teams ship fast and break nothing. Four metrics from years of research explain how.

by Nicole Forsgren 2018

4.05

8k+ ratings

⚙️ Devops 👷 Engineering Management 🚀 Continuous Delivery

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