October 2013
Intermediate to advanced
172 pages
3h 51m
English
Content preview from Getting Started with Greenplum for Big Data AnalyticsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Greenplum Data Computing Appliance (DCA)
Greenplum Data Computing Appliance (DCA) is a purpose-built, highly scalable parallel data warehousing appliance. The DCA:
- Brings the processing power of MPP architecture
- Delivers fastest data loading capacity
- Provides flexible and linearly scalable infrastructure to support growing business needs
There are two flavors of expandable rack configuration provided by DCA:
- Greenplum Database Standard Module
- Greenplum Database High Capacity Module provides increased storage with no increase in footprint
The appliance approach is beneficial as it eases implementation with overall lower total cost of ownership, ensures scalability, high availability, and fault tolerance.
DCA UAP surpasses the previous release with more ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.