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Apache Hadoop Distribution

Apache Hadoop Distribution
Related:  NOSQL

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MVC, MOVE - Or Simply A State Machine One problem with a state machine approach compared to MVC is that it isn't as familiar. Do you use a Moore or a Mealy machine? A combination of the two? It can be worth it, though. Another benefit was that the state machine library I used allowed me to audit the trail of states as they happened. There's one very important thing that nobody has mentioned yet: state machines look ugly in your code. Statecharts are a way to model state machines without explicitly writing out a ton of redundant states. I believe statecharts are to MVC as Clojure is to every mutable state language out there. [1] See "Out of the Tarpit" for why state and complexity are closely related: [2] The original article on statecharts:

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Couchbase Server Manual 2.0 - Chapter 9. Views and Indexes Couchbase Server is a NoSQL document database for interactive web applications. It has a flexible data model, is easily scalable, provides consistent high performance and is ‘always-on,’ meaning it is can serve application data 24 hours, 7 days a week. Couchbase Server provides the following benefits: Flexible Data Model With Couchbase Server, you use JSON documents to represent application objects and the relationships between objects. This document model is flexible enough so that you can change application objects without having to migrate the database schema, or plan for significant application downtime. Even the same type of object in your application can have a different data structures. All of these features of Couchbase Server enable development of web applications where low–latency and high throughput are required by end users. Couchbase Server and NoSQL¶ NoSQL databases are characterized by their ability to store data without first requiring one to define a database schema.

Couchbase Developer's Guide 2.0 - Chapter 2. Modeling Documents Couchbase Server is a NoSQL document database for interactive web applications. It has a flexible data model, is easily scalable, provides consistent high performance and is “always-on,” meaning it is can serve application data 24 hours, 7 days a week. Couchbase Server provides the following benefits: Flexible Data Model With Couchbase Server, you use JSON documents to represent application objects and the relationships between objects. This document model is flexible enough so that you can change application objects without having to migrate the database schema, or plan for significant application downtime. Even the same type of object in your application can have a different data structures. All of these features of Couchbase Server enable development of web applications where low–latency and high throughput are required by end users. Understanding Couchbase Concepts¶ Couchbase as Document Store¶ Data Buckets¶ Your web application stores data in a Couchbase cluster using buckets.

Couchbase Server Manual 2.0 - Chapter 9. Views and Indexes - 9.5. Writing Views Couchbase Server is a NoSQL document database for interactive web applications. It has a flexible data model, is easily scalable, provides consistent high performance and is ‘always-on,’ meaning it is can serve application data 24 hours, 7 days a week. Couchbase Server provides the following benefits: Flexible Data Model With Couchbase Server, you use JSON documents to represent application objects and the relationships between objects. This document model is flexible enough so that you can change application objects without having to migrate the database schema, or plan for significant application downtime. All of these features of Couchbase Server enable development of web applications where low–latency and high throughput are required by end users. Couchbase Server and NoSQL¶ NoSQL databases are characterized by their ability to store data without first requiring one to define a database schema. Architecture and Concepts¶ Nodes and Clusters¶ In this description: Cluster Manager¶ vBuckets¶

The NoSQL “Family Tree” A few weeks back, one of our marketing teammates caught me explaining the NoSQL product landscape to some new employees, and they thought it would make a pretty infographic. I use this diagram a lot to help customers and business partners understand some important NoSQL basics: Create a free Cloudant account and start the NoSQL goodness NoSQL arose from "Big Data" (before it was called "Big Data") During the late 1990s and 2000s Google, Amazon, and Facebook were growing through the roof. As you can see in the diagram, people used these ideas in different ways to create many of today’s popular NoSQL databases. NoSQL is not "One Size Fits All" The color coding in the diagram highlights the fact that NoSQL products evolved to meet specialized workloads. That's not to say these solutions aren’t used for multiple purposes. Vendor-driven versus Community-driven NoSQL This is the last distinction I’d like to make. In Summary

Uses some different concepts than its competitors, especially support for a native Unix file system instead of HDFS (with non-open-source components) for better performance and ease of use. Native Unix commands can be used instead of Hadoop commands. Besides, MapR differentiates from its competitors with high availability features such as snapshots, mirroring or stateful failover. The company is also spearheading the Apache Drill project, an open-source re-envisioning of Google’s Dremel for SQL-like queries on Hadoop data for offering real time processing. by sergeykucherov Jul 15

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