1. 02 | Design and implement database
solutions using SQL Server and
SQL Database

2. Design and Implement Database Solutions using SQL Server and SQL Database
Azure Virtual Machines
SQL Database
Design Scenarios
SQL Data Warehouse

3. Azure Virtual Machines

4. Windows Azure Virtual Machine Tiers
Basic
Standard
A0 – A4
1 – 8 CPU cores
768 Mb – 14 Gb RAM
Max 16 datadisks w/300 IOPS per disk
A0 – A11
1 – 16 CPU cores
768 Mb – 112 GB RAM
Max 16 datadisks with 500 IOPS / disk
D1 – D14
DS1 – DS14
Up to 50,000 IOPS
Mb second
G series
2 – 32 CPU cores
28Gb to 448 Gb RAM
Up to 64 datadisks with 500 IOPS / disk
GS Series
Up to 64 datadisks with IOPS / disk
Lets take a closer look at the details of a Windows Azure Virtual Machine. You have different sizes to choose from from extra small that provides a shared CPU core to an extra large VM that dedicated 8 cores for the application. You also get increased memory and disk as with larger VM sizes. We also recommend that you use the large and extra large sizes if you plan to utilize all of the features of SQL Server 2012 enterprise edition to ensure good performance. With standard you can start with a small vm for the lighter weight SQL Server applications.

5. Demo
Provisioning Virtual Machines on Azure

6. Provision, Develop, Deploy and Manage
Provision new Windows Azure VM based on SQL Server template using Azure Portal
Develop new applications using SQL Server Data Tools and Visual Studio
Configure access using Azure Portal and Windows Firewall in the VM
Monitor application over time using Azure Portal and SQL Server Management Studio
Create deployment scripts using SQL Server Data Tools and Visual Studio
Deploy and test package to Azure VM using SQL Server Data Tools and Visual Studio

7. Move existing workloads to Azure VM
PROVISION
DEVELOP
DEPLOY
MANAGE
Identify database(s) to move using MAP toolkit:
Convert existing physical or VM to VHD using System Center Virtual Machine Manager*
Create VM based on the uploaded VHD using Windows Azure Portal
Monitor application over time using Windows Azure Portal and SQL Server Management Studio
Upload VHD to Windows Azure Storage using Windows Azure Storage Explorers 1
Configure access using Windows Azure Portal and Windows Firewall in the VM
1 There are multiple tools to manage Windows Azure Storage

8. SQL Database

9. Azure SQL Database
Scale up your database performance 350x
Double premium storage to 1TB with P11 5 10 20 50
100
125
250
500
1000
1750 B S0 S1 S2 S3 P1 P2 P4 P6
P11
Basic
Standard
Premium
new
new
Database Throughput Units (DTUs)

10. Performance driven pricing tiers
Basic, Standard, and Premium provide increasing performance levels
Scale individual databases up/down via portal, PS, APIs, or T-SQL
Database remains online while scaling
Hourly billing provides cost efficiency
Support for larger databases with more resources
Up to 1TB of storage with P11
P11 has 14x more resources than P1 (D14 equivalent)
P11
1,750 P6 P4
1,000 P2
500 P1
250 S3 S2
125 B S0 S1
100 50 20 10
DTUs 5

11. Demo
Implementing SQL Database

12. Design Scenarios

13. Design Scenario – LOB Application
Scenario: Simple corporate events management application with dependency on on-premises data stored in Active Directory (user thumbnails)
Integrate Azure AD for Organizational Account Authentication and graph API.
Create database in SQL Database and enable active geo-replication
Application is designed to write to primary and load-balanced queries from primary + secondary
Add Redis cache for additional scale (cache thumbnails from Azure AD and events from SQL)
Enable traffic manager and multiple-region deployment

14. Azure Redis Cache
REGION A
SQL Database
Scale – active geo-replication
Primary writes
Load-balanced reads
Data: Events + Registration
Websites
REGION B
SQL Database
Scale – active geo-replication
Primary writes
Load-balanced reads
Data: Events + Registration
AADSync
Sync identities to Azure
Azure AD
Hybrid Identity
Stores user profile thumbnails synced from AD
Active Directory
Simulated on-premises environment

15. Design Scenario – E-Commerce Site
Scenario: E-Commerce Application that sells skate boards. Uses social providers or /pass for authentication
Product catalog and social comments in DocumentDB
Orders table stored in SQL Database using elastic scale.
Videos uploaded from users encoded using media services + blob storage
Azure Websites Webjobs used to populate Azure search from user comments and product catalog
Azure Websites Webjobs used to populate blob storage – use HD Insight + PowerQuery to create sentiment analysis
Add Redis cache for additional scale

16. Azure Websites
autoscale enabled
Auth: Facebook, Twitter, Microsoft, User/Pass
Azure Redis Cache
Product Catalog
Media Services + Blob Storage
Uploaded Community Videos
SQL Database
Scale via Elastic Scale
Product Orders
DocumentDB
Scale via Capacity Units
Product Catalog
Community Posts
Search
Scale via Search Units
Product Catalog
Community Posts
Azure WebJob (Search)
Pulls data from DocumentDB to populate search

17. SQL Data Warehouse

18. Microsoft Ignite 2015
9/18/2018 3:40 PM
SQL Data Warehouse
Fully managed relational data warehouse-as-a-service
The first elastic cloud data warehouse with enterprise-grade capabilities
Support your smallest to largest data sets
Elastic scale & performance
Market Leading Price & Performance
Powered by the Cloud
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

19. Microsoft Ignite 2015
9/18/2018 3:40 PM
Elastic Scale
Spin up for heavy workloads, cycle down for daily activity
Buy time to insight based on what you need, when you need it
Choose the combo of compute and storage that meets your needs
Elastic scale & performance
Powered by the Cloud
Market Leading Price & Performance
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

20. Query unstructured data via Polybase/T-SQL
Microsoft Ignite 2015
9/18/2018 3:40 PM
Query unstructured data via Polybase/T-SQL
T-SQL query
Capability
T-SQL for querying relational and non-relational data across SQL Server and Hadoop
Benefits
New business insights across your data lake
Leverage existing skillsets and BI tools
Faster time to insights and simplified ETL process
SQL Server
Hadoop
Quote:
************************
**********************
*********************
***********************
$658.39
Jim Gray
Name
11/13/58
DOB WA
State
Ann Smith
04/29/76 ME
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.