Get Results, Build Your Own Big Data Beast: Greenplum + Dell

Pivotal GreenplumDB

Master

Node Node Node Node Node Node

SCALE OUT NETWORKSCALE OUT NODES

MPP ( MASSIVE PARALLEL PROCESSING ) DB● Treat multiple physical databases as a single

logical database● Parallel databases utilize all the hardware

available to service queries● Standard SQL on massive data sets with

results in real time

R630 - Light and Fast

R730XD - Storage and IO Master

R830 - Processing Powerhouse

Dell servers create a monstrous platform of capabilities, clusters can be tuned for specific use cases.

Simple Architecture

Master

Nodes

On Standard Enterprise Hardware

Parallel Resource Utilization

Master

Nodes

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

SELECT * FROM MassiveTable

Leverage The Full Power Of The Hardware Stack

Scales As Hardware Is Added

Master Nodes

Expand To Meet Resource Needs

Not Just A Database

A Data Science Toolkit

Use powerful languages on data in parallel.

Machine Learning implemented in SQL

Driving Results for Big Data Leaders For Years On Software Recently Open Sourced

Baseline Sample Architecture*

Interconnect -Dual 10G Bonded

S4048-ON

MasterStandby Master

Node1

Node2

Node3

Node4

Node5

Node6

Node7

Node8

R730xd2xE5-2650v424x1.8TB256GB RAMH730P

~100TB of DB data~400TB w/ compression

To ExternalNetwork

*Architecture easily modified to fit needs