Azure Café Marketplace DataStax Distributed Data

MARKTPLACE

Joan NovinoAzure Principal Solution SpecialistMicrosoft Corporation

Mark KromerData Solution ArchitectMicrosoft Corporation

Ben LackeyPartner ArchitectDataStax

Marti Stephens-Hartka ISV Lead East RegionMicrosoft Corporation

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,

AZURE CAFE

Azure Café Marketplace SeriesExplore what you can build with Microsoft Azure Marketplace

Solutions.

Agenda

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

   

NoSQL Database Market TrendsD

ata

Varie

ty • Engines that can process structured, unstructured, semi-structured data

• Flexible database schemas

• Multi-model capabilities: Key Value, Document, Time Series, Graph

Rap

id In

gest

of E

vent

s • 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

Sca

le-o

ut C

apab

ilitie

s • IoT, hyper-scale, Internet-scale

• Distribute data across clusters of data and compute nodes

• Provide data redundancy, high-availability and massive scale

Customer Cloud Data DemandsS

cale • 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.

Spe

ed o

f Dep

loym

ent • 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

Pol

yglo

t Env

ironm

ents • 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

NoSQL in the Microsoft Azure Marketplace

Welcome Ben Lackey

Guest Chef at the Azure Café

   

MARKTPLACE

AZURE CAFE

The New Database MarketTraditional

RelationalPost Relational

Tran

sact

iona

lAn

alyt

ical

© 2016 DataStax, All Rights Reserved.

© 2016 DataStax, All Rights Reserved.

How do we handle massivetransactional data and never go down?

Cluster ArchitecturePartitioningReplicationGossipAnti-EntropyHints

SchemaMemtablesCompactionSStablesCommit Log

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.

DataStax Enterprise

© 2016 DataStax, All Rights Reserved.

DataStax Enterprise

© 2016 DataStax, All Rights Reserved.

Always On Active/Active Distributed

DataStax Enterprise

© 2016 DataStax, All Rights Reserved.

Fast (Low Latency) Huge Linear Scale

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.

Demo

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/

Super Human Virtual Labs (Save the Date)

• Most popular Azure Marketplace solutions in 4 tracksHolistic

• 3 week intervals between same track ISV

• Onboarding assistance with lab set up

Programmatic

• Need access to Azure SubscriptionTargeted

Dev Ops Security Big Data Management

Chef June 1st Register Now

Barracuda April 27th Register Now

Hortonworks May 11th Register Now

Cloud Cruiser May 18th Register Now

Docker June 8th Register Now

KEMP May 19th Register Now

DataStax May 25th Register Now

Hanu June 8th Register Now

Core OS June 22nd Register Now

Nasuni June 15th Register Now

 

What is Microsoft Azure Marketplace?An online store for highly optimized and integrated applications and services ready to deploy on Microsoft Azure

Growing ecosystem of 3,000+ apps or componentsReduced sales cycle with pre-configured, ready-to-run apps and servicesStreamlined configuration, deployment, and managementIntegrated platform experienceTop scenarios include: Big data, security, networking, DevOps & automation, business continuity & backup, management apps

Microsoft Azure MarketplaceVisit the Azure Marketplace at https://azure.microsoft.com/en-us/marketplace/

Our Next Entrée at the Azure Café – Looker on May 25!e!

Register Here!

Azure Café MarketplaceThank you for attending. See you at our next Azure Café session.

Keeping it simple and making it fun (KIS+MIF)