This presentation is for the April 2016 online webinar featuring Microsoft's ISV Marketplace leaders. In this session, we featured DataStax and NoSQL solutions available on Azure.

1. Azure Café Marketplace
DataStax Distributed Data
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Experience how to build and optimize your big data applications to
predictable linear scale. Get a taste of DSE as a distributed database
platform that can be deployed between data centers, service providers
and Azure,
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2. Azure Café Marketplace Series
Explore what you can build with Microsoft Azure Marketplace Solutions.

3. Agenda
• Introductions
• Distributed Data Market Trends
• DataStax Enterprise Marketplace Solutions
• Demo with Q&A
• Next Steps

4. NoSQL Database Market TrendsDataVariety
• Engines that can
process structured,
unstructured, semi-
structured data
• Flexible database
schemas
• Multi-model
capabilities: Key
Value, Document,
Time Series, Graph
RapidIngestofEvents
• IoT and event-
stream processing
raises the bar on
database write-time
requirements
• Less emphasis on
ACID, transactional
hardening and data
loss
• More emphasis on
write speed
Scale-outCapabilities
• IoT, hyper-scale,
Internet-scale
• Distribute data
across clusters of
data and compute
nodes
• Provide data
redundancy, high-
availability and
massive scale

5. Customer Cloud Data DemandsScale
• Elasticity. Don’t
engineer for worst-
case scenario all the
time.
• Moving data to
Azure means taking
advantage of
Microsoft’s
bottomless storage
and enormous
compute resources.
SpeedofDeployment
• Customers want to
take advantage of
Azure’s ability to
automate
deployments
• A huge advantage of
Cloud Data solutions
in Azure is to quickly
spin-up & spin-
down environments
in dev/test, QA,
production as well
as pause & stop
PolyglotEnvironments
• Azure Data solutions
are able to
incorporate complex
heterogeneous data
environments that
include a large
spectrum of engine
and storage options
from RDBMS to
NoSQL to Hadoop
• Take advantage of
the Azure
Marketplace

6. NoSQL in the Microsoft Azure Marketplace

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8. The New Database Market
Traditional Relational Post Relational
TransactionalAnalytical
© 2016 DataStax, All Rights Reserved.

9. © 2016 DataStax, All Rights Reserved.
How do we handle massive
transactional data and never go down?
Cluster Architecture
Partitioning
Replication
Gossip
Anti-Entropy
Hints
Schema
Memtables
Compaction
SStables
Commit Log

10. Cassandra
• Distributed self healing mesh
• No active/passive
• Peer to peer replication
• No single point of failure
• Writes are done to all nodes
simultaneously
• Data is safe from node, rack,
and datacenter failure
• Optimized for high volume,
low latency operations
© 2016 DataStax, All Rights Reserved.

11. DataStax Enterprise
© 2016 DataStax, All Rights Reserved.

12. DataStax Enterprise
© 2016 DataStax, All Rights Reserved.
Always On Active/Active Distributed

13. DataStax Enterprise
© 2016 DataStax, All Rights Reserved.
Fast (Low Latency) Huge Linear Scale

14. DataStax Use Cases
• MDM: Customer 360, Product Catalog
• Personalization and Recommendation
• Internet of Things (IoT) and Time Series
• Fraud Detection
• List Management
• Messaging
• Inventory Management
• Authentication
© 2016 DataStax, All Rights Reserved.

16. Azure Café Next Steps
For more information on the Azure Marketplace and DataStax solutions contact:
• Marti Stephens-Hartka – Microsoft ISV Leader East Region martish@microsoft.com
• Ben Lackey – DataStax Partner Architect @benforben
Additional Resources:
• DataStax General Information: http://www.datastax.com/partners/microsoft-azure
• DataStax Azure Deployment Guide: https://academy.datastax.com/resources/deployment-
guide-azure
• DataStax Courses and Certification: https://academy.datastax.com/
• Azure Marketplace: https://azure.microsoft.com/en-us/marketplace/
• Azure SQL DW Deep Dive: https://channel9.msdn.com/Events/Ignite/2015/BRK3569
• Azure HDInsight: https://azure.microsoft.com/en-us/services/hdinsight/
• Microsoft Cortana Analytics Suite: http://www.microsoft.com/en-us/server-cloud/cortana-
analytics-suite/overview.aspx
• Azure Data Lake Analytics: https://azure.microsoft.com/en-us/solutions/data-lake/
•

17. Dev Ops Security Big Data Management
Chef
June 1st
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Barracuda
April 27th
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Hortonworks
May 11th
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Cloud Cruiser
May 18th
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Docker
June 8th
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KEMP
May 19th
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DataStax
May 25th
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Hanu
June 8th
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Core OS
June 22nd
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Nasuni
June 15th
Register Now

18. An online store for highly optimized and integrated
applications and services ready to deploy on
Microsoft Azure
Growing ecosystem of 3,000+ apps or components
Reduced sales cycle with pre-configured, ready-to-run
apps and services
Streamlined configuration, deployment, and management
Integrated platform experience
Top scenarios include: Big data, security, networking,
DevOps & automation, business continuity & backup,
management apps
Microsoft Azure Marketplacehttps://azure.microsoft.com/en-us/marketplace/

19. Our Next Entrée at the Azure Café – Looker
on May 25!e!
Register
Here!

20. session.
Keeping it simple and making it fun (KIS+MIF)