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

Datameer Is the First BI/Analytics Platform Built Natively on Hadoop

Brian Smith (Datameer Regional Director of Sales):

DAS is an open book at every stage of the data pipeline, with plug and play support at each phase – integration, analysis and visualization. Under the covers, DAS generates Java/MapReduce code that runs natively on the Hadoop cluster. All current Hadoop distros are supported – we’re Switzerland when it comes to platform support for Apache, Cloudera, MapR, IBM and the rest, we run all of it in a browser on Windows, Mac and Linux.

As always I won’t comment on statements referring to “first” or “best”. But I find Brian Smith’s assessment of the Hadoop economics very accurate:

The economics are compelling — Hadoop is moving out costly analytic databases and warehouses, driving IT to re-look at ADBMS sales cycles, shifting IT dollars and vendor roadmaps, and generally wreaking havoc in the traditional vendor community. We’ve gone from one or two distributions to nine in the last year! And, literally every vendor in the BI/DBMS space has a Hadoop connector, the latest being the recent Oracle announcement. Everybody is on board this train — All this based upon the premise of unlimited scale and data variety at a fraction of traditional costs.  Technical challenges exist, but its clear that there’s a sea change.

Original title and link: Datameer Is the First BI/Analytics Platform Built Natively on Hadoop (NoSQL database©myNoSQL)

via: http://datameer.com/blog/uncategorized/why-i-am-at-datameer.html


NetApp Hadoop Shared DAS

In preparation for the EMC Hadoop related announcement:

Shared DAS addresses the inevitable storage capacity growth requirements of Hadoop nodes in a cluster by placing disks in an external shelf shared by multiple directly attached hosts (aka Hadoop compute nodes). The connectivity from host to disk can be SATA, SAS, SCSI or even Ethernet, but always in a direct rather than networked storage configuration.

[…]

Therefore the three dimensions of Shared DAS benefit are:

  1. NetApp E-Series Shared DAS solutions can dramatically reduce the amount of background replication tasks by employing highly efficient RAID configurations to offload post-disk failure reconstruction tasks from the Hadoop cluster compute nodes and cluster network,
  2. When compared against single disk I/O configuration of regular Hadoop nodes, NetApp E-Series Shared DAS enables significantly higher disk I/O bandwidth at lower latency due to wide striping within the shelf, and finally,
  3. NetApp E-Series Shared DAS improves storage efficiency by reducing the number of object replicas within a rack using low-overhead high-performance RAID. Fewer replicas mean less disks to buy or more objects stored within the same infrastructure.

But it can also be connected to DataStax Brisk .

Original title and link: NetApp Hadoop Shared DAS (NoSQL databases © myNoSQL)

via: http://blogs.netapp.com/exposed/2011/05/what-are-hadooplers.html