The document discusses MicroStrategy cloud offerings on Amazon Web Services (AWS). It describes MicroStrategy as providing a comprehensive enterprise analytics platform in the cloud, including business intelligence, analytical databases, and data integration. The platform is optimized for performance and scalability using best-of-breed technologies. Customers benefit from experts managing and monitoring the analytics platform.
Breaking the Kubernetes Kill Chain: Host Path Mount
MicroStrategy on Amazon Web Services (AWS) Cloud
1. MicroStrategy on AWS Cloud
Convergence Consulting Group
Jeff Baucom, Solutions Architect
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2. Cloud Computing Definitions
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(IaaS) (PaaS) (SaaS)
3. MicroStrategy in the Cloud
MicroStrategy Cloud Amazon Web Services (AWS)
Private Cloud
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4. MicroStrategy Cloud Definition
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(IaaS) (PaaS) (SaaS)
MicroStrategy Cloud
5. MicroStrategy Cloud Global Presence
Ashburn, VA
London, UK
MicroStrategy Data Center
Partner Data Center
Seattle
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6. Flexible Data Connection Options
Secure VPN
On premises data
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Let Us Do the Heavy Lifting
Cloud Data Services
Best Hardware and Software On-Demand
• Best-of-breed analytical database and data integration
• Pre-integrated and optimized
No Need to Move the Data
Direct Connect
MicroStrategy Architecture Optimizes Performance
• In-memory BI
• Push-down analytics
• 64-bit operations
• Multi-pass SQL
• Multi-source architecture
• Dual 10GB Internet connections
7. Comprehensive Enterprise Analytics Platform
Cloud Business Intelligence
• Scalable to 1 million users
•Complete MicroStrategy platform
Cloud Analytical Database
• Best-in-class databases
• Scalable to Petabytes
Cloud Data Integration
•High throughput, parallel data loading
• Integrate on-premise and cloud data
sources
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Integrated and
optimized.
8. Performance and Scalability
Built using Best-of-Breed Technology
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9. Much More than Hosting
• Managed turnkey analytics platform service
• Experts manage, monitor and upgrade the platform
• Single Vendor sourcing and accountability
•Superior SLA, Operations and Security optimized for BI
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10. MicroStrategy on AWS Cloud Definition
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(IaaS) (PaaS) (SaaS)
MicroStrategy on AWS Cloud
11. AWS Cloud Global Presence
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12. Flexible Data Connection Options
Secure VPN
On premises data
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Data Warehouse in the Cloud
Cloud Data Services
Best Hardware and Software On-Demand
No Need to Move the Data
Direct Connect
MicroStrategy Architecture Optimizes Performance
• In-memory BI
• Push-down
analytics
• 64-bit operations
• Multi-pass SQL
• Multi-source architecture
13. AWS is ONLY Hosting
• Managed turnkey analytics platform service
• Experts manage, monitor and upgrade the platform
• Single Vendor sourcing and accountability
• Superior SLA, Operations and Security optimized for BI
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14. MicroStrategy on AWS Marketplace
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15. MicroStrategy on AWS Marketplace
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16. Create The AWS Instance
https://aws.amazon.com/marketplace/seller-profile?id=6060a294-44c7-4159-ab67-e2cb603f647e
https://www.youtube.com/watch?v=8-zG68EBosU
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17. Amazon AWS Console
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18. Demo
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So when looking at Cloud as a whole, you can separate it into these 3 different tiers,
IaaS – you are getting a server with an operating system and you are paying for a hardware replacement and can install whatever you want on top of that.
One tier higher is PaaS, now you are taking a machine and installing a software platform on top of it. MSTR Cloud Enterprise is PaaS.
The highest level is the software as a service this is an application that has been developed for a specific purpose MSTR Cloud Personal and Cloud Express for example are our offerings.
MSTR Cloud is giving you those 2 bottom areas which allow you to develop any applications you want for both web or mobile.
There are 2 options you have to connect the MSTR Cloud to your data. Typically you would have your data contained in an on premises data center of course it can also be contained in a Cloud somewhere else. So the first option here is Direct Connect – This is when a user chooses to only run the MSTR BI layer in the cloud. The intelligence server is running in the MSTR Cloud, The In-memory cubes and cache running in the cloud and then what we do is establish a secure VPN into the on premises datasources. This enables us to run queries directly against these db’s through the VPN connection and our Cloud becomes a part of their network and it is a very easy way for a user to get started with MSTR Cloud.
The other option is where again we set up that VPN connection and through our ETL capabilities using Informatica to move data and populate a Cloud warehouse which is running in our Cloud as well. The BI layer then communicates directly with that Cloud warehouse to run queries and from that architecture we see very good performance. There are a couple of different options there.
Worth noting in that direct connection model; it results in very good performance. Even though the BI layer is geographically separated from the on premises data center. We are taking advantage of caching, clustering, 64 bit, in-memory BI, the idea of pushing analytics down to the db, running queries in the db, and then returning a minimum result set back up into the cloud, leveraging our multipass SQL and multisource db capabilities.
What does the cloud offering Include?
The MSTR Cloud goes beyond just BI, we do have Cloud based BI based on the Enterprise platform with full enterprise functionality; its highly scalable but we also incorporate a analytical DB option and a cloud ETL or data integration option.
We offer a range of different tiers of databases from small scale databases with a cost effective option to very large 100TBs of data running on dedicated high performance db appliances.
And then ETL we offer high throughput parallel data loading capabilities which allows customers to integrate their data which may reside on premises or alternatively on another Cloud based service.
We have partnered with best of breed providers to offer business intelligence, DB and Etl to our users
MSTR Cloud is giving you those 2 bottom areas which allow you to develop any applications you want for both web or mobile.
There are 2 options you have to connect the MSTR Cloud to your data. Typically you would have your data contained in an on premises data center of course it can also be contained in a Cloud somewhere else. So the first option here is Direct Connect – This is when a user chooses to only run the MSTR BI layer in the cloud. The intelligence server is running in the MSTR Cloud, The In-memory cubes and cache running in the cloud and then what we do is establish a secure VPN into the on premises datasources. This enables us to run queries directly against these db’s through the VPN connection and our Cloud becomes a part of their network and it is a very easy way for a user to get started with MSTR Cloud.
The other option is where again we set up that VPN connection and through our ETL capabilities using Informatica to move data and populate a Cloud warehouse which is running in our Cloud as well. The BI layer then communicates directly with that Cloud warehouse to run queries and from that architecture we see very good performance. There are a couple of different options there.
Worth noting in that direct connection model; it results in very good performance. Even though the BI layer is geographically separated from the on premises data center. We are taking advantage of caching, clustering, 64 bit, in-memory BI, the idea of pushing analytics down to the db, running queries in the db, and then returning a minimum result set back up into the cloud, leveraging our multipass SQL and multisource db capabilities.