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You have amassed an amazing amount of data in your Apache Hadoop environment in a relatively short amount of time. Unfortunately, you realize that all of this data cannot be processed in the environment in which it is contained. You have come up with alternatives that cannot be presented to the executive sponsors of this data rich environment. Whats next? Many have traveled the path that you are now on. This presentation addresses the concept of how to do more with less by coming up with a diet plan for your data. Big data examples are discussed, along with analytical concepts that you can use to trim the fat. <br/><br/>Howard Plemmons, SAS <br/><br/>Priya Sharma, SAS
Session 2079
en
jeff.foxx@sas.com
You have amassed an amazing amount of data in your Apache Hadoop environment in a relatively short amount of time. Unfortunately, you realize that all of this data cannot be processed in the environment in which it is contained. You have come up with alternatives that cannot be presented to the executive sponsors of this data rich environment. Whats next? Many have traveled the path that you are now on. This presentation addresses the concept of how to do more with less by coming up with a diet plan for your data. Big data examples are discussed, along with analytical concepts that you can use to trim the fat. <br/><br/>Howard Plemmons, SAS <br/><br/>Priya Sharma, SAS
2018-04-03T15:45:43.974-04:00
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2018-04-03T15:45:44.175-04:00
Do You Need to Put Your Data on a Diet?
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year:2018
industry:1150
software:STAT
support:sgf-papers/session-type/breakout
support:sgf-papers/topic/data-management/data-access
support:customer-roles/data-scientist
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