Full Fidelity Analytics from Karmasphere
March 18, 2014
It is the data equivalent of a distortion-free sound system— Karmasphere blogs about what they are calling “Full-Fidelity Analytics.” Karmashpere founder Martin Hall explains what the analytics-for-Hadoop company means by the repurposed term:
“Ensuring Full-Fidelity Analytics means not compromising the data available to us in Hadoop in order to analyze it. There are three principles of Full-Fidelity Analytics:
1. Use the original data. Don’t pre-process or abstract it so it loses the richness that is Hadoop
2. Keep the data open. Don’t make it proprietary which undermines the benefits of Hadoop open standards
3. Process data on-cluster without replication. Replication and off-cluster processing increases complexity and costs of hardware and managing the environment.
“By adhering to these principals during analytics, the data remains rich and standard empowering deep insights faster for companies in the era of Big Data.”
The post goes on to list several advantages to the unadulterated-data policy; Hall declares that it reduces complexity, lowers the total cost of ownership, and avoids vendor lock-in, to name a few benefits. The write-up also discusses the characteristics of a full-fidelity analytics system. For example, it uses the standard Hadoop metastore, processes analytics on-cluster, and, above all, avoids replication and sampling. See the post for more details about this concept. Founded in 2010, Karmasphere is headquartered in Cupertino, California.
Cynthia Murrell, March 18, 2014
Sponsored by ArnoldIT.com, developer of Augmentext
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