Migrating Your BI Platform To Azure Josh Luedeman Josh.Luedeman@microsoft.com @JoshLuedeman

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

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

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

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

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 >)

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

Considerations - Analytics PowerBI Azure Analysis Services

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

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

Resources Documentation AzureCAT Architecture Center Azure GitHub https://docs.microsoft.com/en-us/azure/ AzureCAT Architecture Center https://docs.microsoft.com/en-us/azure/architecture/ Azure GitHub https://github.com/Azure

Questions?

Migrating Your BI Platform To Azure Josh Luedeman Josh.Luedeman@microsoft.com @JoshLuedeman