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Sameer Tiwari

Sameer has been building platform products for large deployments since the Application Server days at Sun Microsystems. He started working on big data prior to the invention of Hadoop, in the field of email archiving/search. Recently he was working on Ad-Serving and User Platform systems at Yahoo. He is the Hadoop Architect at EMC Greenplum, building the next generation systems for Big Data Analytics.

Posts by Sameer Tiwari

Photo by Daniel Hurst. (Getty Images)

In my previous blog post, “Hadoop and Disparate Data Stores”, I introduced a project Greenplum is working on that abstracts various storage options within an organization under a unified layer referred to as Unified Storage System (USS). The advantage of USS is that it can help with the Tiering of Storage, a concept that has been around for some time, but is unfamiliar to some.

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Through our experiences in working with customers on Big Data platforms, we’ve come to notice that there are fundamentally two types of Hadoop users out there; the first type being “Hadoop-centric” users who are building platforms completely off of Hadoop and no longer want to leverage relational database technologies for analytics (these tend to be the early adopters of Hadoop), and the second type being users who are leveraging Hadoop as an augmentation to existing systems and are focused on integrating the technology with existing analytical databases and workflows (these tend to be the later adopters who are still building their Hadoop skills internally).

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