Big Data Analytics

Ever since McKinsey released a report stating that Hadoop was the next big thing in big data analytics, everyone inside and outside of silicon valley is jumping on that wagon.  But here’s the thing, so far, the talent is touching Hadoop, Hbase, Hive, Pig, Sqoop, and the other libraries affiliated with the Hadoop project, are all the top engineers in the world.  When designing a proof of concept project or prototype, a team needs engineers that are truly specialists in natural language processing, computer engineering, programming, data science, and data analytics.  That’s a rare combination of skills that demand the best of the best out there.

The same can be said when conducting projects in the big data stack of Oracle with Exadata, Exalytics, and Endeca, and HP with their acquisitions of Autonomy and Vertica, or IBM with Netezza, or EMC with Greenplum.   Incorporating, configuring, and optimizing these systems are complex, arduous and sometimes prohibitively expensive.  And as is very common, if they are independently used by disparate business units, the challenge of developing a unified data platform becomes all the more challenging.  

Can Xtream solve all of these challenges for you?  Well, No.  But can we help your team work towards the most successful outcomes.  Definitely.  

Engineers and data scientists need time, trial and error, and endless prototyping just to get the proof of concept right with Big Data projects.  At Xtream, we understand that and thus, source the engineers with the goal of the projects in mind.  We set expectations honestly and accurately, and do our very best to ensure that the engineers working with your team are the right fit based on the goals of the project, and not just a keyword match based on a job description or skills matrix put together to justify a particular bill rate.  Contact us and discuss our approach to Big Data. 

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