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About Apache CouchDB
Seamless multi-master sync, that scales from Big Data to Mobile, with an Intuitive HTTP/JSON API and designed for Reliability.

Apache CouchDB™ lets you access your data where you need it. The Couch Replication Protocol is implemented in a variety of projects and products that span every imaginable computing environment from globally distributed server-clusters, over mobile phones to web browsers.

CouchDB Topics

The following are the things covered under Apache CouchDB.

ACID Semantics
CouchDB provides ACID semantics. It does this by implementing a form of Multi-Version Concurrency Control, meaning that CouchDB can handle a high volume of concurrent readers and writers without conflict.
    Map/Reduce Views and Indexes
    The stored data is structured using views. In CouchDB, each view is constructed by a JavaScript function that acts as the Map half of a map/reduce operation.
      Distributed Architecture with Replication
      CouchDB was designed with bi-direction replication (or synchronization) and off-line operation in mind. That means multiple replicas can have their own copies of the same data, modify it, and then sync those changes at a later time.
        Document Storage
        CouchDB stores data as DOCUMENTS, as one or more field/value pairs expressed as JSON.
          Eventual Consistency
          CouchDB guarantees eventual consistency to be able to provide both availability and partition tolerance.
            Built for Offline
            CouchDB can replicate to devices (like smartphones) that can go offline and handle data sync for you when the device is back online.

              Course Contents

              The following are the course contents offered for Apache CouchDB

              • Learning to Relax
              • A Different Data Model
              • Replication
              • Eventual Consistency
              • Data: Local
              • CouchDB Deployment and Peformance
              • Installation on Linux
              • Installation on Mac OS X
              • Using Homebrew
              • Using MacPorts
              • Installation on Windows
              • Installation from Source
              • Configuring and Building CouchDB
              • Running CouchDB
              • Using Futon
              • Managing Databases and Documents
              • Configuring Replication
              • Populating a Simple Database
              • Creating Databases
              • Creating Documents
              • Updating Documents
              • Deleting Documents
              • Deleting Databases
              • Common Operations
              • HTTP Operations
              • Errors
              • HTTP Headers
              • Request Headers
              • Response Headers
              • HTTP URL Paths
              • JSON
              • Documents
              • Document Structure
              • Document Types
              • Structure and Consistency
              • Creating Design Documents
              • Shows
              • Views
              • View Basics
              • Querying a View
              • Querying on Complex Data
              • Querying Compound Data
              • Reduce Functions
              • Built-in _count
              • Built-in _sum
              • Built-in _stats
              • Custom reduce functions
              • Error handling in views
              • Temporary views
              • Querying View Results
              • Lists
              • Theory
              • Node Management
              • Adding a node
              • Removing a node
              • Database Management
              • Creating a database
              • Deleting a database
              • Placing a database on specific nodes
              • Shard Management
              • Introduction
              • Examining database shards
              • Moving a shard
              • Specifying database placement
              • Resharding a database to a new q value
              • Clustered Purge
              • Internal Structures
              • Compaction of Purges
              • Local Purge Checkpoint Documents
              • Internal Replication
              • Indexes
              • Config Settings
              • Compaction
              • Performance
              • Backing up CouchDB

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