1. Migrating Your BI Platform To Azure
Josh Luedeman
@JoshLuedeman

2. Agenda for Today Introductions Infrastructure Assessment
Translating on-premises to Azure
Considerations and Pitfalls
Takeaways
Resources
Agenda for Today

3. Today’s Speaker Josh Luedeman
Sr. Consultant – Premier Developer at Microsoft
Over 10 years experience with SQL Server
Roles have included DBA, Data Architect, BI Architect, Cloud Consultant, etc.
Technical Editor for Hadoop and Cloud books
Speaker at Data and Developer Focused conferences

4. Infrastructure Assessment
It’s not just infrastructure
Business Processes
What features do you need?
Data Growth
Evolution of requirements

5. On-premises to Azure Picking the right technology Understand the paths
Heed the limitations

6. Considerations – Data Storage
Azure SQL DB
Azure SQL DW
Azure Data Lake Storage
Azure SQL DB
Scale on the fly. With one mouse click in the Azure Portal or a single API call, you can scale up the resources provided to your app to accommodate growth or periods of peak workload demand.
No app downtime. Re-scale the resource needs of your app without any interruptions to your app: no database downtime and no app rewrites required.
Pay for what you need. Remove the guesswork and commitment of buying infrastructure to support the performance goals for your app. Only pay for the performance that you need, when you need it.
Predictable performance. Resources provided to your databases are guaranteed so that your app users have a predictable performance experience.
In-Memory OLTP. For high-throughput transaction needs, In-Memory OLTP can you help you achieve 30x performance gains.
Real-time operational analytics. For real-time analytics, In-Memory Columnstore with disk-based operational data helps achieve real-time insights and 100x performance gains. 
Automated administration
SQL Server compatibility
Flexibility to work your way
Programmatic capabilities
Stringent regulatory compliance. With Azure’s physical and operational security, Azure SQL Database can help you meet the most stringent regulatory compliances such as ISO/IEC 27001/27002, Fed RAMP/FISMA, SOC, HIPPA and PCI DSS. Azure Active Directory authentication. Centrally manage and control identity and user access to data by authenticating with Azure Active Directory.
Always Encrypted. Protect data at rest, in motion, or in use with built-in encryption features that leverage the NIST’s Advance Encryption Standard 256 cipher.
One-Click Encryption. With one click, automatically encrypt a database, associated backups, and transaction log files at rest using an industry standard AES-256 symmetric key, without requiring changing your app.
Auditing and Threat Detection. Simplify management of compliance audits and be notified of potential threats with rich auditing tools and anomalous activity alerting.
Azure SQL DW
Store large volumes of data.
Consolidate disparate data into a single location.
Shape, model, transform and aggregate data.
Perform query analysis across large datasets.
Ad-hoc reporting across large data volumes.
All using simple SQL constructs.
Azure Data Lake Storage
Hadoop based
Petabyte scale
Large files not lots of files (1GB or >)

7. Considerations – Data Movement
Azure Logic Apps
Azure Data Factory V1 V2
HDInsight
Azure Data Lake Analytics

8. Considerations - Analytics
PowerBI
Azure Analysis Services

9. Considerations - Visualizations
PowerBI
All-in-One BI
SSRS on an IaaS VM

10. Takeaways The feature gap is closing
You can do the same thing many different ways, don’t settle
There is an adjustment, but it’s not as big as you think
Your data is secure

11. Resources Documentation AzureCAT Architecture Center Azure GitHub
AzureCAT Architecture Center
Azure GitHub

12. Questions?

13. Migrating Your BI Platform To Azure
Josh Luedeman
@JoshLuedeman