Understanding NoSQL: Scalability and Data Models

From the study guide

Course Outline

  1. NOSQL & Definition
  2. Scaling & Horizontal Methods
  3. CAP Theorem & Properties
  4. Data Models & Types
  5. Key-Value & API
  6. Document & JSON
  7. Column-Based & Families
  8. Graph & Interconnectivity
  9. Tradeoffs & NoSQL Use
  10. Next-Gen & NewSQL

1. NOSQL & Definition

Key Concepts & Definitions

  • NOSQL (Not Only SQL): A class of non-relational databases designed to handle large-scale, distributed data with flexible schemas, offering high scalability and performance.
  • Schema-less Data: Data stored without a fixed schema, allowing dynamic and flexible data models such as JSON, XML, or key-value pairs.
  • Horizontal Scalability: The ability to increase capacity by adding more servers or nodes, essential for handling big data and high traffic.
  • CAP Theorem: A principle stating that in a distributed system, it is impossible to simultaneously guarantee Consistency, Availability, and Partition Tolerance; systems must choose two.
  • Eventual Consistency: A consistency model where updates propagate asynchronously, and all nodes will eventually become consistent without strict real-time guarantees.
  • Types of NOSQL DBMS: Categorized into key-value, document-based, column-based, and graph-based systems, each optimized for specific data models and use cases.

Essential Points

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Practice quiz preview

1. How does the CAP Theorem differentiate between consistency and availability in distributed systems?

2. What is the primary role of horizontal scaling methods in distributed database systems?

3. What does NOSQL refer to in the context of databases?

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Flashcard preview

NOSQL β€” definition?

Non-relational databases for scalable, flexible data storage.

Scaling β€” horizontal method?

Adding more servers/nodes to distribute workload.

CAP Theorem β€” properties?

Impossible to guarantee all three: consistency, availability, partition tolerance.

NOSQL β€” definition?

Non-relational databases handling large-scale, distributed data.

Schema-less Data β€” advantage?

Allows flexible, dynamic data models.

Horizontal Scalability β€” role?

Increases capacity by adding servers.

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Frequently asked questions

What does the Understanding NoSQL: Scalability and Data Models study guide cover?

It covers the core concepts of Understanding NoSQL: Scalability and Data Models, organized by topic with the key definitions, explanations and takeaways, so it's easier to learn and remember.

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How many questions are in the Understanding NoSQL: Scalability and Data Models quiz?

The practice quiz has 9 multiple-choice questions, each with an explanation. Use it to check what you know and find your gaps.

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How do I study Understanding NoSQL: Scalability and Data Models with flashcards?

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