Presentation at Spark Summit 2015

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© 2015 MapR Technologies 1
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© 2015 MapR Technologies
Taking Your Spark To Production Scale
Anil Gadre, SVP Product Management, MapR Technologies
June 15, 2015

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© 2015 MapR Technologies 2
The Journey To Production Scale
Trials,
science projects
Large
mission-critical,
operational
deployments
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© 2015 MapR Technologies 2

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© 2015 MapR Technologies 3
Companies with Spark & MapR in Production
GLOBAL
TELECOM
HEALTHCARE
GLOBALFINANCIAL
SERVICES

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© 2015 MapR Technologies 4
Key Issues
To Plan For
Spark stack
support?
Real-time?
Enterprise reliability &
security?
Open ended agility?
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© 2015 MapR Technologies 5
Global Managed Security Services
delivered on Hadoop
Spark Stream processing used to
first check for known threats
Data next processed on Hadoop
using MLLib and GraphX
Additional SQL querying done via
Spark SQL
Security Intelligence Operations

6. Delivers Lightning Fast
Analytics for Clients
Building largest Hadoop cluster
in Australia
Real-time analytics using Spark on
MapR–reducing data loading time
from hours to minutes
Leverage multi-tenancy,
high-performance and reliability
of MapR

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© 2015 MapR Technologies 7
Next-Gen Genomics
Develop flexible platform to keep up with fast
changing research techniques
POSIX file access lets bio-informaticians use
existing tools with open source tools (Spark)
Graph manipulations can be done reliably and
at scale using Spark

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© 2015 MapR Technologies 8
Real-Time Customer Analytics
• MapR Data Lake stores both online
and archive data
• Spark on MapR reduced ETL
processing
• NFS moved data into the cluster
seamlessly
• 1/10th Total Cost of Ownership vs.
old way
• New customer onboarding cut from
months to weeks

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© 2015 MapR Technologies 9
Databricks & MapR
Strategic Partnership
(since April 2014)
Support for the
complete Spark stack
Engineering & roadmap
collaboration
Back-end support
+

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© 2015 MapR Technologies 10
The Most Complete Spark Environment
Spark SQL
(SQL)
Spark
Streaming
(Streaming)
MLlib
(Machine
learning)
GraphX (Graph
computation)
Foundation For Enterprise-Grade Spark

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© 2015 MapR Technologies 11
DB
Operations
Real-Time and
Actionable
Analytics
Operations + Analytics on One Hadoop Platform with SQL Access
Mobile
application
server
Customer 360
dashboard
Churn analysis Product/service
optimization and
personalization
Real-time ad
targeting
Web application
server
Data exploration
(SQL)
• User profiles and state
• User interactions
• Real-time location data
• Web and mobile session state
• Comments/rankings

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© 2015 MapR Technologies 12
Spark + MapR = Ready For Production Success
World-record performance on disk
High Performance
SLA-Driven Applications
• High availability
• Data protection
• Disaster recovery
Reliability for Production
Strategic partnership with
Databricks to ensure enterprise
support for the entire stack
24/7 Best-in-class Global
Support
MapR-DB + Spark = real-time analytics
Operational Data Store

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© 2015 MapR Technologies 13
MapR Introduces 3 New Spark-Based
Quick Start Solutions
Real-Time Security Log Analytics
Time Series Analytics
Genome Sequencing

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© 2015 MapR Technologies 14
Self-Service Data Exploration
Data Agility with Less IT Required
Single SQL Interface for Structured
and Semi-Structured Data

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© 2015 MapR Technologies 15
Free
On-Demand Training
www.mapr.com/training

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© 2015 MapR Technologies 16
Get Your Tattoo In The MapR Booth!
Show off your
Kickstart My Heart skills
and enter to win
Xbox 360 & Guitar Hero

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© 2015 MapR Technologies 17
Top-Ranked NoSQL
Top-Ranked Hadoop
Distribution
Top-Ranked SQL-on Hadoop
Solution