1. What’s new with Azure SQL Database?
Marco

2. Sponsors

3. Organizers

4. Marco Parenzan | @marco_parenzan
Community Lead 1nn0va – Pordenone
Microsoft Azure MVP 2016
Microsoft Azure Trainer
Curious about Retrogaming and IoT

5. The building block
PaaS evolution

6. PaaS You decide the size of the resources
you always overprovision, you can scale elastic
You don’t handle the resources’ infrastructure
CPU+Memory+I/O(=tier) Unit of Measure

7. Where you decide the CPU on these?
Function
Logic App
Storage
Media Services
Cortana
Management Suite
Traffic
Manager
Document DB
Machine Learning
OMS
Management Suit
Visual Studio
Services
CDN
Search
Active Directory
Key Vault
App Insights
Cognitive Services
Embedded Power BI
Scheduler
IoT Hub
Service Bus
Notification Hub
Stream Analytics
Hockey App

8. Serverless Architectures
Serverless architectures refer to applications that significantly depend on third-party services (knows as Backend as a Service or "BaaS") or on custom code that's run in ephemeral containers (Function as a Service or "FaaS"), the best known vendor host of which currently is AWS Lambda. By using these ideas, and by moving much behavior to the front end, such architectures remove the need for the traditional 'always on' server system sitting behind an application. Depending on the circumstances, such systems can significantly reduce operational cost and complexity at a cost of vendor dependencies and (at the moment) immaturity of supporting services.
From Martin Fowler [

9. Serverless vs. PaaS PaaS Serverless
You decide the size of the resources
you always overprovision, you can scale elastic
You don’t handle the resources’ infrastructure
CPU+Memory+I/O(=tier) Unit of Measure
Serverless
You consume
«blended» Unit of Measure

10. Database Transaction Unit (DTU)
DTUs provide a way to describe the relative capacity of a performance level based on a blended measure of CPU, memory, and read and write rates offered by each performance level.
Documented here:

11. Azure SQL Database
Fully managed SQL database service that lets you focus on your business
Database provisioning on-demand
Predictable performance for enterprise workloads
Elastic database pools for unpredictable SaaS workloads
99.99% availability SLA
Geo-replication and restore services for data protection
Secure and compliant to protect sensitive data
Compatible with SQL Server 2016 databases

12. Predictable performance
Build 2015
11/28/ :31 AM
Predictable performance
Isolated databases are allocated isolated resources
Basic, Standard, and Premium tiers provide increasing performance levels
Scale up/down in response to actual or predicted change in workload
Databases remain online while scaling
Hourly billing at highest rate that hour
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

13. Azure SQL Database Virtual Logical Server
Logic container
«Database», «Elastic Pool» and «Data Warehouse»
Context
«Endpoint» for connection (es. dbdemo.database.windows.net)
Users that can access to these databases
«Policy» (es. «Audit», «Threat detection»)
You loose ALL the typical functionalities at server level

14. JSON SUPPORT

15. Built-in functions for JSON
ISJSON - valid JSON ?
JSON_VALUE extracts scalar value
JSON_QUERY extracts an object or array

16. OPENJSON

17. FOR JSON
In PATH mode dot syntax - 'Item.Price' – formats nested output.

18. TEMPORAL TABLES

19. Temporal Tables Automatically keeps track of changed data
Available in SQL Azure
Transparent to existing applications (if needed)

20. Temporal Queries AS OF <date_time>
FROM <start_date_time> TO <end_date_time>
BETWEEN <start_date_time> AND <end_date_time>
CONTAINED IN (<start_date_time> , <end_date_time>)
ALL

21. Temporal Tables Some limitations compared to “classic” tables
No TRUNCATE TABLE support
INSTEAD OF triggers not supported
Temporal tables *can* be ALTERed
A few limitations:
Cannot add a computed columns
Cannot add an Identity column
Versioning can be turned on/off as we wish
There is *no* automatic cleanup of versioning
Stretch Database offer “a sort of” automatic archival (but still no cleaning!)
Tips:

22. ROW LEVEL SECURITY

23. Row-level security
Protect data privacy by ensuring the right access across rows
Give users access only the rows applicable to their role
Simplify the design and coding of security in your apps
Administer with SQL Server Management Studio or SQL Server Data Tools

24. DYNAMIC DATA MASKING

25. Dynamic data masking
Limit the exposure of sensitive data by hiding it from users
Auto-discovery of potentially sensitive data to mask
Configurable masking policy from the Azure portal or via DDL in the server
On-the-fly obfuscation of data in query results
Flexibility to define a set of privileged users for un-masked data access

26. GEO REPLICATION

27. High-availability platform
Single logical database DB P S
Ack
Read
value
write S S P P
Ack
Write
Critical capabilities:
Create new replica
Synchronize data
Stay consistent
Detect failures
Failover
99.99% availability S S
Write
Ack
Reads are completed at the primary
Writes are replicated to secondaries

28. «Active Geo-Replication»
Fino a 4 copie secondarie
Accessibile in sola lettura
Supportati scenari di aggiornamento e trasferimento
«Failover» manuale
«Estimated Recovery Time»: <30 secondi
«Recovery Point Objective»: <5 secondi
Disponibile per tutti i «Service Tier»!

29. SCALABILITY

30. Scalability patters [1]
Monolithic database
ERP

31. «Scale up» e «Scale down»
Change the service level
«Service Tier/Performance Level»
Copy by replica operation
Interruption during switch
Check compatibility with feature used (ex. Database size)

32. Predictable performance
Build 2015
11/28/ :31 AM
Predictable performance
Isolated databases are allocated isolated resources
Basic, Standard, and Premium tiers provide increasing performance levels
Scale up/down in response to actual or predicted change in workload
Databases remain online while scaling
Hourly billing at highest rate that hour
© 2015 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

33. «Query Performance Insight»

34. SaaS issues Customers with different requirements (performances)
Customers in different regions
Overprovisioning

35. Scalability patters [2]
Monolithic database
ERP
Tenant partitioning (1 db per customer)
Root
Cust.#1
Cust.#n
Cust.#2

36. Scenario IoT, device syncronization Multiple customers
Monthly subscription

37. Failure scenario Bad performance on a query (timeout)
Need time to check
No time to check immediatly
Immediate reaction: scale up (BasicS0)
Time: 5minutes
Time to check: 2 weeks
Costs of DB: 12€/2=6€
Fixed query
Scale down (S0Basic)

38. Scalability patters [4]
Monolithic database
ERP
Root
Cust.#2
Tenant partitioning (1 db per customer)
Cust.#1
Cust.#n
Inventory
Order
Invoice
Vertical partitioning (architectural)
Root
Shard #1
Shard #2
Shard #n
Sharding (No SQL)

39. «Sharding» Molteplici database condivisi da più «tenant»?
Tecnica «Scale out» distribuzione dati
Strutturati in maniera identica
In più database indipendenti
In base a «Sharding Key»
Mappature per intervallo di valori o lista

40. «Elastic Database client library»
«Shard Map Management»
Mappatura «Shard Keys» e database
«Shard Keys» liste o intervalli di valori
«Data Dependent Routing»
Supporto apertura connessione in base a «Shard Key»
«Multi-Shard Queries»
Supporto Query che coinvolge più «Shard»
Fusione unico «Result Set» con Semantica UNION ALL
Image source:

41. «Elastic Database Pools»
DTU Pool (eDTUs) and Storage Pool (GBs) shared
Minimal guaranteed
Maximum set
«Auto-Scale»
You can add/remove during lifetime
Image source:

42. BACKUP

43. Point-in-time restore
Programmatic “oops recovery” of data deletion or alteration
Auto backups
«Full» weekly
«Differenziale» some hours
«Log» every 5-10 minutes
Backups in Azure Storage and geo-replicated
Creates a side-by-side copy, non-disruptive
REST API, PowerShell or Azure Portal
Backups retention policy:
Basic, up to 7 days
Standard, up to 14 days
Premium, up to 35 days (preview 10 years)
Automated export of logical backups for long- term backup protection
Azure Storage
sabcp01bl21
SQL Database Backups
sabcp01bl21
Geo- replicated
Restore from backup

44. Conclusions

45. Conclusions
Almost complete alignment with IaaS/On Premise SQL Server Think PaaS Think about alternatives to Management System

46. Funzionalità rispetto versione «on-premise»
Not everything on Azure SQL Database
Es. CDC, CLR, FILESTREAM, PBM, Service Broker
Different implementation
Es. AwaysOn AG/Active Geo Replication, SSIS/Azure Data Factory
Some in preview
Es. Row-Level Security, Data Masking, Temporal Tables

47. HIPAA business associate agreement (BAA)
Compliance
ISO/IEC 27001
FedRAMP/FISMA
PCI DSS Level 1
SOC 1 Type 2 and SOC 2 Type 2
HIPAA business associate agreement (BAA)
EU Model Clauses

48. #sqlsat589
Thanks! Q&A