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Big Data Jargon and Choices - Hadoop vs SQL vs RMDBS vs NoSQL and New SQL

 Peter Linnell
  16th-Feb-2016
Description: Big Data Challenges: Existing data workflows are siloed, Data is siloed – Formats, proprietary applications, Sensitive Data Concerns, Regulatory Blockages, Budget Constraints, Planning Lead Times. Data Scrubbing is the step never mentioned but indeed can be one of the biggest challenges; Big Data likes memory aka storage; Jobs can run longer than some typical mainframe or batch “jobs”; Hadoop turns the computing notion of bringing data to processing power on its head. You bring the compute power to where the data resides.
Views: 1898
Domain: Business
Category: Management
Contributing Organization: SUSECon
 ‐ More of their Presentations
SEMICONDUCTOR ANALYTICS
Contents:
Emerging Trends in Big Data
TU-20008

Peter Linnell
Big Data Team @ SUSE
Apache Bigtop PMC
plinnell@suse.com
plinnell@apache.org

A little bit about me
● Scribus Founder and Core Team Member since 2001
● Ex-Cloudera “Kitchen Team baking Hadoop”
● OpenSUSE Community member since 2006
● OpenSUSE Board Member
● Apache Bigtop Founder and PMC
● Packager ... See more

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