NoSQL Distilled

(NoSQL.AP1) / ISBN : 978-1-64459-457-5
This course includes
Lessons
TestPrep
Hands-On Labs
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About This Course

Embark on an exciting journey into the world of NoSQL databases with our immersive and comprehensive course NoSQL-Distilled. Explore core concepts, understand different data models, and learn how to distribute and maintain consistency in dynamic NoSQL systems. It includes interactive lessons, fun quizzes, glossaries, flashcards, and practical hands-on labs featuring popular databases like Riak, MongoDB, Cassandra, and Neo4J. Embrace the future of computer science today and join us on an extraordinary adventure to unlock endless possibilities in the realm of NoSQL databases.

Skills You’ll Get

Get the support you need. Enroll in our Instructor-Led Course.

Lessons

16+ Lessons | 30+ Exercises | 100+ Quizzes | 53+ Flashcards | 53+ Glossary of terms

TestPrep

Hands-On Labs

13+ LiveLab | 13+ Video tutorials | 00+ Minutes

1

Preface

  • Why Are NoSQL Databases Interesting?
  • What’s in the Course
  • Who Should Read This course
  • What Are the Databases
  • Acknowledgments
2

Why NoSQL?

  • The Value of Relational Databases
  • Impedance Mismatch
  • Application and Integration Databases
  • Attack of the Clusters
  • The Emergence of NoSQL
  • Key Points
3

Aggregate Data Models

  • Aggregates
  • Key-Value and Document Data Models
  • Column-Family Stores
  • Summarizing Aggregate-Oriented Databases
  • Further Reading
  • Key Points
4

More Details on Data Models

  • Relationships
  • Graph Databases
  • Schemaless Databases
  • Materialized Views
  • Modeling for Data Access
  • Key Points
5

Distribution Models

  • Single Server
  • Sharding
  • Master-Slave Replication
  • Peer-to-Peer Replication
  • Combining Sharding and Replication
  • Key Points
6

Consistency

  • Update Consistency
  • Read Consistency
  • Relaxing Consistency
  • Relaxing Durability
  • Quorums
  • Further Reading
  • Key Points
7

Version Stamps

  • Business and System Transactions
  • Version Stamps on Multiple Nodes
  • Key Points
8

Map-Reduce

  • Basic Map-Reduce
  • Partitioning and Combining
  • Composing Map-Reduce Calculations
  • Further Reading
  • Key Points
9

Key-Value Databases

  • What Is a Key-Value Store
  • Key-Value Store Features
  • Suitable Use Cases
  • When Not to Use
10

Document Databases

  • What Is a Document Database?
  • Features
  • Suitable Use Cases
  • When Not to Use
11

Column-Family Stores

  • What Is a Column-Family Data Store?
  • Features
  • Suitable Use Cases
  • When Not to Use
12

Graph Databases

  • What Is a Graph Database?
  • Features
  • Suitable Use Cases
  • When Not to Use
13

Schema Migrations

  • Schema Changes
  • Schema Changes in RDBMS
  • Schema Changes in a NoSQL Data Store
  • Further Reading
  • Key Points
14

Polyglot Persistence

  • Disparate Data Storage Needs
  • Polyglot Data Store Usage
  • Service Usage over Direct Data Store Usage
  • Expanding for Better Functionality
  • Choosing the Right Technology
  • Enterprise Concerns with Polyglot Persistence
  • Deployment Complexity
  • Key Points
15

Beyond NoSQL

  • File Systems
  • Event Sourcing
  • Memory Image
  • Version Control
  • XML Databases
  • Object Databases
  • Key Points
16

Choosing Your Database

  • Programmer Productivity
  • Data-Access Performance
  • Sticking with the Default
  • Hedging Your Bets
  • Key Points
  • Final Thoughts

2

Aggregate Data Models

  • Building the Sample Data in MongoDB
9

Document Databases

  • Using the find Query in MongoDB
  • Using db.runCommand() in MongoDB
10

Column-Family Stores

  • Creating a Super Column Family in Cassandra
  • Creating a Column Family in Cassandra
  • Inserting and Reading Data in CQL
  • Using the DELETE Query in Cassandra
  • Using the SELECT Command in Cassandra
  • Using the UPDATE Query in Cassandra
11

Graph Databases

  • Indexing Nodes in a Graph in Neo4j
  • Creating a Graph in Neo4j
  • Using the Cypher Query Language
12

Schema Migrations

  • Writing and Reading Document in MongoDB

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