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Big Data Analytics The Network is the Bottleneck

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Data Volume Growing 44x

2020: 35.2

Zettabytes

2010:

1.2

Zettabytes

Data is Growing Faster than Moore’s Law

Business Analytics Requires a New Approach

Source: IDC Digital Universe Study, sponsored by EMC, May 2010

IDC Digital Universe

Study 2011

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The Next Generation Distribution

• Complete Distribution for Apache Hadoop

• Integrated, tested, hardened

• Supported

• 100% Hadoop, HBase, HDFS API compatible

• Unique advanced features

• No changes required to Hadoop applications

• Runs on commodity hardware

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Innovations of Next Generation Distribution

• High Availability Architecture • Snapshots • Mirroring

• NFS Access • Graphical Management

• Speed jobs by more than 2X • Save $$$ on hardware

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Importance of File-based Access

File Browsers

Access Directly “Drag & Drop”

Random Read Random Write

Log directly

grep

sed

sort

tar

Standard Linux Commands & Tools

Applications

Hadoop Cluster

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High Availability and Data Protection

MapR Distribution

Hive Pig Oozie Sqoop Plume HBase

Mahout Cascading Nagios

Integration

Ganglia

Integration Flume More

MapReduce

MapR’s Lockless Storage Services ™

Distributed NameNode HA™

JobTracker HA ™

• High availability

• Stateful failover

• Unlimited number of files

A B D D’

Data Blocks

Active Files Snapshots

C

• Recover from app or user errors

• Zero performance loss on write

• Easy recovery with drag and drop

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File Create Benchmark

Out of box

Testing completed on 10 node cluster, 2x Quad-Core, 24G DRAM 12 x 1TB SATA Drives @ 7200 rpm

MapR Distribution

Standard Distributions

Out of box

Tuned

Total Files (M)

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MapR Performance Advantages

YCSB on HBase (higher is better)

Terasort (lower is better)

10 node cluster, 2x Quad-Core, 24G DRAM

12 x 1TB SATA Drives @ 7200 rpm, Quad NICs

Elap

sed

tim

e in

min

ute

s

Rec

ord

Inse

rts

per

sec

(0

00

s)

0

50

100

150

200

250

MapR

Other

3.5 TB 0

100

200

300

400

500

600

WAL Off WAL On

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