Dear professionals, Big Data ,hosts Use More Than Hadoop to Analyze Enterprise Data, said An IDC study.
This study captured by
Connectikpeople and commissioned by Red Hat, titled “Trends in Enterprise
Hadoop Deployments” reports, “shows off that, Hadoop is gaining stunning traction
in enterprise big data implementations.
According to the IDC study, “Nearly 39% respondents indicated that they use
NoSQL databases like HBase, Cassandra and MongoDB etc. while nearly 36%
indicated that they use MPP databases like Greenplum and Vertica etc. This
situation also underscores the importance of causality and correlation, in
which traditional structured data sets are analyzed in conjunction with
unstructured
data from newer sources.”
data from newer sources.”
Connectikpeople has also observed that, the IDC study explores the use
cases for enterprise Hadoop deployments and confirms that “... businesses use
Hadoop in more than one way:
- Analysis of raw data: whether it is operations data, data from machines or devices, point of sale systems or customer behavioral data gathered from ecommerce or retail systems: is one of the dominant use cases for Hadoop.
- Nearly 39% of respondents indicated that they use Hadoop for service innovation, which includes the analysis of secondary data sets for modeling of “if-then scenarios for products and services.
- Some of the less popular use cases for Hadoop include its deployment as a platform for non-analytic workloads (for example in conjunction with a SQL overlay for OLTP).”
According to the IDC report, “File systems like IBM’s Global File system
(GPFS), Red Hat Storage (GlusterFS), EMC Isilon OneFS and others that have
earned a reputation for their robust, scale-out capabilities are clearly
preferred as alternatives to HDFS. Of these three, only Red Hat offers an
integrated open-source based enterprise Linux platform that combines a
distributed file system with a Hadoop connector, enterprise middleware and the
ability to run Hadoop computational workloads natively.”
