The data struggle is real. Last-generation and even newer technologies are limiting and lead to data silos across the organization, which hinders innovation, collaboration, and access to data. DataOps has emerged as a movement, bringing together DevOps with data engineers and data scientists to make data work harder and to mine value from it quicker. The MapR platform naturally creates a data fabric that makes DataOps possible. Listen on demand: http://info.mapr.com/17.12.05_WB_MapR6.0-Powers-DataOps_RegistrationPage.html

1. © 2017 MapR TechnologiesMapR Confidential 1
MapR 6.0 Powers DataOps:
Unleash the Value of Your Data with New
Features in the MapR Converged Data Platform
Mitesh Shah, Director Product Marketing, MapR
Prashant Rathi, Sr. Product Manager, MapR
December 5, 2017

2. © 2017 MapR TechnologiesMapR Confidential 2
No Friction
Turning Data into Value is Easy When There is No Friction
(there’s always friction)
Data Value
Systems that are
inflexible,
hard to manage,
insecure, …
People Friction
Process Friction
Technology Friction
Waterfall not
agile.
Cumbersome
audit and
compliance
requirements.
Organizational
silos.

3. © 2017 MapR TechnologiesMapR Confidential 3
What is DataOps?
+
DevOps Data Engineers
Data Scientists
=
DataOps helps an organization rapidly deliver value
from data by supporting agility and accelerating and
enabling the integration of operations and
analytics.
Day Zero
Operations
Embrace Data
Flows
Always On
All Data
Secure the
Data Not
Access
Method
Self-service
Not
Dependency
Convergence
Not
Orchestration
Distributed
DataOps
Principles
DataOps

4. © 2017 MapR TechnologiesMapR Confidential 4
MapR Powers DataOps to Unleash Greater Value
from All Data
Now available, MapR Converged Data Platform 6.0 adds innovations for
security, database, and automated administration, across clouds
• Real-time Data Integration with Innovations in MapR-DB
• Self-service Data Science with Data Science Refinery
• Secure Data with Single-Click Security Enhancements
• Cloud-scale Multi-Tenancy and Edge to Cloud File Migrate
• Automatic Platform Health and Security with the New MCS

5. © 2017 MapR TechnologiesMapR Confidential 5
Real-time Data Integration with
Innovations in MapR-DB

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MapR-DB Innovations in 6.0
• Integrated Operational DB
for Mission Critical Apps
• Horizontal Scalability
• Extreme Performance
• 24X7 Reliability
• HBase API compatible
HIGH PERFORMANCE
WIDE COLUMN
DATABASE
• Cross Data Center
active/active Replication
• Fine Grained Security
controls
GLOBAL DATABASE
• Native JSON Support
• Comprehensive Datatypes
• Granular & Efficient
operations
• Trillions of documents,
Millions of tables
• Open & Intuititve OJAI
APIs
MULTI-MODEL
DATABASE
W/DOCUMENT DATA
MODEL
• Native Secondary indexes
• Rich OJAI 2.0 Query APIs
• Optimized Drill/SQL analytics
& BI
• Advanced Analytics w/Native
Spark and Hive connectivity
• Global Real-time Change
Data Capture
DATABASE FOR
GLOBAL DATA-
INTENSIVE APPS
MapR-DB 6.0 release

7. © 2017 MapR TechnologiesMapR Confidential 7
Real-Time Data Integration and Micro-Services w/Global
Change Data Capture
Allows arbitrary external systems to consume changes in MapR-DB tables globally
Build Scalable real time data hubs for fast ingesting and fast ingesting big data
Enables Real-time event driven micro-services app fabrics to create rich experiences
Machine Learning
Models
Microservices
Elastic Search
Change Data Capture
Remote MapR-DB

8. © 2017 MapR TechnologiesMapR Confidential 8
Self-service Data Science with
Data Science Refinery

9. © 2017 MapR TechnologiesMapR Confidential 9
The MapR Data Science Vision
A Holistic Approach To Self-Service Data Science
MAPR DATA SCIENCE REFINERY REFINERY DATA SCIENTISTS
Data Scientist led product-and-
services offerings including Quick
Start Solutions (QSS) & Training
REFINERY PARTNERSHIPS
Expand on what we offer in-
product to meet the needs of all
data science teams
An easy-to-deploy, secure, and
extensible data science offering
that leverages all existing platform
assets
MAPR CONVERGED DATA PLATFORM

10. © 2017 MapR TechnologiesMapR Confidential 10
Secure Data with Single Click
Security Enhancements

11. © 2017 MapR TechnologiesMapR Confidential 11
Criminals accessed, copied,
and deleted data from
unpatched or badly
configured databases, and
then held the data as
ransom.
Cloud computing
misconfiguration resulted in
vulnerabilities that exposed
information about 200 million
voters, including names, dates of
birth, home addresses, phone
numbers, and voter registration
details.
Recent Security Issues Caused by Misconfiguration
Over 35,000 servers were found
open to the internet on AWS.
Hundreds of instances were
compromised and the data was
held for ransom.
Major
NoSQL DB
Major Cloud
Storage
Provider
Open Source
Search Engine

12. © 2017 MapR TechnologiesMapR Confidential 12
High Availability Real Time Security & Governance Multi-tenancy Disaster Recovery Global Namespace
Converge-X™ Engine
HDFS APIPOSIX, NFS HBase API JSON API Kafka API
MapR Introduces Single-Click Security Enhancements
Event Data
Streams
Analytics &
Machine Learning Engines
Operational
Database
Cloud-scale
Data Store
* Some exceptions apply.
Encryption on the Wire*
Authentication
Enforcement
CLEARTEXTAZDDSADUX

13. © 2017 MapR TechnologiesMapR Confidential 13
Cloud-scale Multi-Tenancy and
Edge to Cloud File Migrate

14. © 2017 MapR TechnologiesMapR Confidential 14
PRIVATE CLOUD
Cloud-scale Multi-tenancy
OpenStack Manila Plugin
PUBLIC CLOUD
Cloud-native Operations
Cloud Storage Integrations
Object Tiering
REST APIs
MULTI CLOUD
Mirroring
Replication
EDGE
Small Footprint
Edge to Cloud File Migrate
Data Queueing
Bandwidth Optimization
MapR Orbit Cloud Suite

15. © 2017 MapR TechnologiesMapR Confidential 15
Tenant
San Francisco Giants
Tenant
Oakland Athletics
VMs Users &
Groups
Analytical and Machine
Learning Engines
Event Data StreamsCloud Scale Data Store
High Availability Real Time Security & Governance Multi-tenancy Disaster Recovery Global Namespace
Converge-X Data Fabric
Operational Database
Manila Plugin
MapR Volumes
VMs Users &
Groups
MapR Volumes
• Hosting multiple organizations (users, groups) on
the same data platform
• Security: Ensuring intra-organization privacy as
well as intra-organization policies
Competitive Note: Capability not found in Hadoop
competitors (CDH, HDP), NoSQL competitors
(MongoDB, Couchbase), or scale-out storage
competitors.
The Challenge:
• Tenant concept built-in to data services – all users
identified by (tenant, user, [groups])
• Tenant volumes hidden from other tenants
• Enforce intra-tenant access control within volumes
• Integration with OpenStack Manila for tenant self-
service provisioning of data shares (volumes)
How MapR Solves:
Cloud-Scale Multi-Tenancy & OpenStack Manila Plugin
(for native file access)

16. © 2017 MapR TechnologiesMapR Confidential 16
Edge to Cloud File Migrate
The Challenge:
• Insufficient local compute for local
analytics, need cloud.
• Existing ETL tools don’t meet
reliability or time sensitivity
requirements.
How MapR Solves:
• Edge to Cloud File Migrate service
deploys to each edge site, watches
MapR-XD for new files, immediately
transfers to the cloud.
• Intelligent use of MapR metadata
services to ensure performance and
reliability.
Real-time, automatic movement of files from edge to the cloud
Ideal for mixed-processing workloads– some edge, some cloud

17. © 2017 MapR TechnologiesMapR Confidential 17
The New MapR Control
System

18. © 2017 MapR TechnologiesMapR Confidential 18
Benefits of the New MCS
Greater Administrative Overhead
Higher OpEx
Increased Probability of Failures
Reduced Administrative Overhead through Unified Data Management
Lower OpEx
Unparalleled Cluster Stability and Health
MapR Converged Data Platform and The New MCSThe Other Guys (Crisis of Complexity)

19. © 2017 MapR TechnologiesMapR Confidential 19
MCS Demo

20. © 2017 MapR TechnologiesMapR Confidential 20
Summary

21. © 2017 MapR TechnologiesMapR Confidential 21
MapR Converged Data Platform 6.0
• Architected to power DataOps
• Available Now
• Cloud provider marketplaces, such as Microsoft Azure,
Amazon Web Services, and Oracle Cloud will have version 6.0
available before end of year
MapR 6.0 delivers:
• Automatic Platform Health and Security
• Real-time Data Integration
• Secure, Discoverable Data
• Self-Service Machine Learning / Artificial Intelligence

22. © 2017 MapR TechnologiesMapR Confidential 22
Q&A
ENGAGE WITH US
@mapr
miteshshah@mapr.com
prathi@mapr.com

23. © 2017 MapR TechnologiesMapR Confidential 23
Appendix

24. © 2017 MapR TechnologiesMapR Confidential 24
The Trend from Data Warehousing to Data Science
Data Warehouses Data Lakes Limited Machine Learning Machine Learning Everywhere
Analysts Data Scientists
Need to Allow for Access to All Data
Flexibility and Choice in Tools is Critical
Security
Security
Targeted Offers
Fraud Detection
Predictive
Maintenance
Smart Cars
Targeted Offers

25. © 2017 MapR TechnologiesMapR Confidential 25
ENTRY POINTS IN THE CUSTOMER JOURNEY
McKinsey calls these companies
“Adopters”. Gartner estimates they
solve between 10-100 business
problems in three to five years.
McKinsey calls these companies “Partial
Adopters & Experimenters”. Gartner
estimates they solve between 3-20 business
problems in three to five years.
McKinsey calls these
companies
“Contemplators”
Data Science
Curious
Adjacent Data
Science Teams
Corporate Data
Science Teams
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