microsoft azure cafe marketplace with datastax april 27 2016
TRANSCRIPT
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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
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Azure Café Marketplace SeriesExplore what you can build with Microsoft Azure Marketplace
Solutions.
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Agenda
• Introductions• Distributed Data Market Trends• DataStax Enterprise Marketplace Solutions • Demo with Q&A• Next Steps
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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
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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
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NoSQL in the Microsoft Azure Marketplace
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Welcome Ben Lackey
Guest Chef at the Azure Café
MARKTPLACE
AZURE CAFE
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The New Database MarketTraditional
RelationalPost Relational
Tran
sact
iona
lAn
alyt
ical
© 2016 DataStax, All Rights Reserved.
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© 2016 DataStax, All Rights Reserved.
How do we handle massivetransactional data and never go down?
Cluster ArchitecturePartitioningReplicationGossipAnti-EntropyHints
SchemaMemtablesCompactionSStablesCommit Log
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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.
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DataStax Enterprise
© 2016 DataStax, All Rights Reserved.
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DataStax Enterprise
© 2016 DataStax, All Rights Reserved.
Always On Active/Active Distributed
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DataStax Enterprise
© 2016 DataStax, All Rights Reserved.
Fast (Low Latency) Huge Linear Scale
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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.
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Demo
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Azure Café Next Steps For more information on the Azure Marketplace and DataStax solutions contact:• Marti Stephens-Hartka – Microsoft ISV Leader East Region [email protected]• 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/
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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
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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/
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Our Next Entrée at the Azure Café – Looker on May 25!e!
Register Here!
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Azure Café MarketplaceThank you for attending. See you at our next Azure Café session.
Keeping it simple and making it fun (KIS+MIF)