See on Scoop.it – Corporate Challenge of Big Data
NoSQL: Next Generation Databases mostly addressing some of the points: being non-relational, distributed, open-source and horizontally scalable.
See on nosql-database.org
Couchbase is officially opening up two new technologies to mobile developers as part of a public beta program. Couchbase Lite is a lightweight database designed specifically for iOS and Android devices, while Cloud Sync Gateway syncs local data with a bigger database in the cloud.
See on gigaom.com
Do you think that you’re working with “Big Data”? or is it “Small Data”? If you’re asking ad hoc questions of your data, you’ll probably need something that supports “query-response” performance or, in other words, “near real-time”. We’re not talking about batch analytics, but more interactive / iterative analytics. Think NoSQL, or “near real-time Hadoop” with technologies like Impala. Here’s my view of Big versus Small with ad hoc analytics in either case.
See on jameskaskade.com
Performance is another way that NoSQL databases can excel. Every time you add a new server to a NoSQL database cluster, there is performance scaling by virtue of the fact that you’re throwing another processor into the equation.
Because of their distributed nature, Wiederhold says, NoSQL databases can be pretty much always on.
See on readwrite.com
The growth rate of Big Data revenue in 2012 was due to a number of factors, including:
An increased awareness of the benefits of Big Data as applied to industries beyond the web, most notably financial services, pharmaceuticals and retail;The maturation of Big Data software such as Hadoop, NoSQL data stores, in-memory analytic engines and massively parallel processing analytic databases;Increasingly sophisticated professional services practices that assist enterprises in practically applying Big Data hardware and software to business use cases;Increased investment in Big Data infrastructure by massive web properties – most notable Google, Facebook, and Amazon – and government agencies for intelligence and counter-terrorism purposes.
See on wikibon.org
NoSQL is often used to deal with large scale data needs, but most NoSQL solutions lack strong data integrity features. I will describe how one company is solving their big data problems using MapR M7.
by Swiss Big Data User Group on Jan 24, 2013
See on www.slideshare.net