Back to Books · A 4

Edit position

Last set 2 weeks, 2 days ago. Manual moves override automatic placement until the next shelfie/spine match.

Seven databases in seven weeks : a guide to modern databases and the NoSQL movement

Diagnose this book

Seven databases in seven weeks : a guide to modern databases and the NoSQL movement

by Eric Redmond, Jim R. Wilson

No description yet.

Accession 9781680505962 ISBN 9781680505962 Publisher Pragmatic Bookshelf

Book Images

Reference and live side by side Hover to see live images

Reference

Seven databases in seven weeks : a guide to modern databases and the NoSQL movement spine

Seven databases in seven weeks : a guide to modern databases and the NoSQL movement cover

Live

No live

CONNECTIONS

No connections

State

on_shelf: True
position_updated_at: 2026-05-05 17:11
orientation: vertical

Details

Physical

binding_type: Hard Back
dimensions: none captured
spine_text: Seven Databases in Seven Weeks Redmond • Wilson Pragmatic Bookshelf

LOCATION HISTORY

A 4 Current vertical

3 months, 1 week ago

A 4 vertical

5 months, 1 week ago

Book Location

Updated 2 weeks, 2 days ago

Book Images

Reference and live side by side Hover to see live images

Reference

Live

No live

Vernon snapshot

Frozen copy of Vernon's record from the last sync. Fields tagged → flow back into the Pulse record.

Never synced from Vernon

Identity

name→ title

Seven databases in seven weeks : a guide to modern databases and the NoSQL movement

vernon_id

—

accession_no→ accession_number

—

vernon_slug

—

Drives Pulse state

curr_loc_status→ on_shelf

—

location_name

—

location_reason

—

isbn_issn→ isbn (when valid)

—

Descriptive

production_date

—

object_type

—

object_status

—

brief_description

—

Subjects & people

authors→ author (initial fill only)

—

tags→ tags

—

subject_people

—

subject_objects

—

Topics and Themes

1. **The NoSQL Movement & the Limits of Relational Databases**
For decades, relational databases were the unquestioned default for data storage. This book frames the NoSQL movement as a direct response to their limitations — arguing that rigid schemas and table-based models are ill-suited to the scale and variety of modern data problems. It asks the reader to rethink assumptions about what a database even is.

Connect to books about: database theory, relational model history, SQL, software architecture, data engineering.

---

2. **Data Modeling Paradigms**
The book surveys five distinct ways of structuring data — relational, key/value, columnar, document, and graph — treating each as a fundamentally different lens on reality. Choosing a data model is not merely a technical decision but a conceptual one: it determines what questions you can ask of your data and how efficiently you can answer them.

Connect to books about: information architecture, ontology, knowledge representation, software design patterns.

---

3. **Scalability, Distribution & the CAP Theorem**
A recurring tension in the book is how distributed systems must balance consistency, availability, and partition tolerance — a trade-off known as the CAP theorem. Technologies like Riak and HBase are explored as concrete expressions of these trade-offs, forcing engineers to make principled decisions about what guarantees their systems actually need.

Connect to books about: distributed systems, fault tolerance, cloud computing, systems design.

---

4. **Graph Thinking & Network Structure**
Through Neo4j, the book introduces graph databases as a way of modeling the world not as rows and tables but as nodes and relationships. This reflects a broader intellectual tradition of seeing complex systems — social networks, knowledge graphs, the web itself — as graphs rather than hierarchies or sequences.

Connect to books about: graph theory, network science, social network analysis, knowledge graphs, linked data.

---

5. **Big Data & MapReduce**
The book engages with the MapReduce paradigm — a framework for distributing queries across clusters of machines — as the computational backbone behind databases like HBase and the broader Hadoop ecosystem. This situates the book squarely within the "Big Data" era and its demand for new ways of processing information at scale.

Connect to books about: big data, Hadoop, parallel computing, data pipelines, analytics infrastructure.

---

6. **Polyglot Persistence & Technology Selection**
Rather than advocating for a single solution, the book teaches readers to match the right database to the right problem. This philosophy — sometimes called polyglot persistence — challenges the idea that one technology can serve all needs and asks practitioners to develop a richer vocabulary of tools and trade-offs.

Connect to books about: software architecture, system design, pragmatic programming, DevOps, engineering decision-making.

---

7. **Open Source Software & Collaborative Infrastructure**
All seven databases examined in the book are open source projects, many of them community-driven and underpinning vast amounts of the modern internet. The book implicitly celebrates open source as a model for building critical technical infrastructure — tools shaped by communities rather than proprietary vendors.

Connect to books about: open source culture, software commons, the history of Linux/GNU, collaborative technology development.

---

8. **Learning by Doing: Hands-On Technical Mastery**
Structurally, the book belongs to a tradition of accelerated, project-based technical learning — each database is explored through real-world problems rather than abstract documentation. This mirrors a broader philosophy about how developers acquire deep skill: not by reading specs, but by building things and encountering failure.

Connect to books about: deliberate practice, technical pedagogy, programming education, the pragmatic programmer philosophy.

Seven databases in seven weeks : a guide to modern databases and the NoSQL movement

Book Images

TAGS

CONNECTIONS

State

Details

LOCATION HISTORY

Book Location

Book Images

Vernon snapshot

Topics and Themes