ALL COVERED TOPICS

NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter

NAVIGATE MAIN CATEGORIES

Close

Gartner: All content tagged as Gartner in NoSQL databases and polyglot persistence

Gartner: By 2015, 65 Percent of Packaged Analytic Applications With Advanced Analytics Will Come Embedded With Hadoop

Another set of predictions from Gartner states: “By 2015, 65 percent of packaged analytic applications with advanced analytics will come embedded with Hadoop“:

Organizations realize the strength that Hadoop-powered analysis brings to big data programs, particularly for analyzing poorly structured data, text, behavior analysis and time-based queries. While IT organizations conduct trials over the next few years, especially with Hadoop-enabled database management system (DBMS) products and appliances, application providers will go one step further and embed purpose-built, Hadoop-based analysis functions within packaged applications. The trend is most noticeable so far with cloud-based packaged application offerings, and this will continue.

This seems to confirm my thoughts about Trough of Disillusionment and Slope of Enlightenment phases coalescing when speaking about Hadoop or Big Data.

Original title and link: Gartner: By 2015, 65 Percent of Packaged Analytic Applications With Advanced Analytics Will Come Embedded With Hadoop (NoSQL database©myNoSQL)

via: http://www.gartner.com/newsroom/id/2313915


The Original 3 V’s Paper: 3-D Data Management Controlling Data Volume, Velocity and Variety

Doug Laney left a comment to my Big Data Causes Concern and Big Confusion. A Big Data Definition to Help Clarify the Confusion article pointing to the original 3 V’s paper published in 2001 by META Group1:

While enterprises struggle to consolidate systems and collapse redundant databases to enable greater operational, analytical, and collaborative consistencies, chang- ing economic conditions have made this job more difficult. E-commerce, in particular, has exploded data management challenges along three dimensions: volumes, velocity, and variety. In 2001/02, IT organizations must compile various approaches to have at their disposal for dealing with each.

Give Caesar’s what is Caesar’s. Read or download the paper after the break.