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2/11/2014
01:22 PM
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MapR Hadoop Upgrade Runs HP Vertica

MapR's release of Hadoop 2.2 with YARN supports HP's popular, high-scale analytical database as a SQL-On-Hadoop option.

MapR says its NFS-based storage platform can run data-intensive applications and database management systems without significant rewrites.
MapR says its NFS-based storage platform can run data-intensive applications and database management systems without significant rewrites.

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Charlie Babcock
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Charlie Babcock,
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2/11/2014 | 5:30:39 PM
HDFS 'like a CD-ROM'
HDFS operates "like a CD-ROM, not like enterprise storage," said Jack Norris, MapR CMO. That's sacrilidge in the Hadoop community, and I wish him luck with it. Replacing HDFS with NFS, concocted by Sun Microsystems for its workstations in the mid-1980s, just might be a bit of genius. Then again, geniuses are usually found in the select minority.
D. Henschen
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D. Henschen,
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2/11/2014 | 1:54:59 PM
The return of the NameNode controversy?
I thought that old criticism about Hadoop NameNode reliability, etc., had died down with changes made to core Apache Hadoop software, but MapR is still insisting that Hadoop can't be a "mission critical" with HDFS as-is. "People assume that 'snapshots' are point-in-time consistent snapshots across volumes and clusters, but with open source HDFS, whenever the file is closed, that's the data that's contained in that snapshot," MapR's Jack Norris told me last week. "So that means there are all storts of time stamps associated with a snapshot [if you use HDFS], and you can't recover an application that way."

With these vulnerabilities, talk of Hadoop as an "enterprise data hub," as espoused by Cloudera, is premature, says Norris, because you can't depend on the data that gives you higher-level analytical capabilities at the top of the stack. Cloudera and Hortonworks would obviously disagree with these assertions, but they're too busy throwing cold water on each other's strategies. Frankly, the more these three companies rail at each other, the less faith the whole world has in Hadoop -- and they're not distinquishing among anybody's distribution.

 
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