Finally, you can use elastic, relational, and data warehouse in the same sentence. Azure SQL Data Warehouse is a scale out database service designed to answer your ad hoc queries across petabyte scale data-sets through massively parallel processing. See how you can optimize costs by independently scaling compute and storage resources in seconds.

1. @ITCAMPRO #ITCAMP16Community Conference for IT Professionals
Cloud Based Analytics for Mere Mortals
with Azure SQL Data Warehouse
Silviu Niculiță
CTO @ RIA Solutions Group
silviu@niculita.ro

2. @ITCAMPRO #ITCAMP16Community Conference for IT Professionals
Many thanks to our sponsors & partners!
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6. • Fully managed relational data warehouse-as-a-service;
• The first elastic cloud data warehouse with enterprise-grade capabilities;
• Supports the smallest to largest data sets;

7. • 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;

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15. Elastic, Petabyte Scale
DW Optimized
99.99% uptime SLA,
Geo-restore
Azure Compliance (ISO, HIPAA, EU, etc.)
True SQL Server Experience;
Existing Tools Just Work
SQL DW
SQL DB
Service Tiers

16. Simply buy the query performance you need, not just hardware
Quantified by workload objectives: how fast rows are scanned, loaded, copied
Measure of Power
Transparency
First DW service to offer compute power on demand, independent of storageOn Demand
Scan 1B rows
100 DWU = ?? sec
400 DWU = ?? sec
800 DWU = ?? sec
1,600 DWU = ?? sec
Scan Rate ?? M row/sec
Loading Rate ?? K row/sec
Table Copy Rate ?? K row/sec
100 DWU

17.  Best On-Demand Price/Performance;
 Advantages in elasticity and pause to
reduce customer cost;
 SQL DW start small, can grow to PB+;
 Pay for performance by scaling
compute against storage;
100GB 1TB 2TB 1+PB
Performance

18. • Data remains in place – no reloading / restoring of data;
• When paused, cloud-scale storage is min cost;
• Automate via PowerShell/REST API;
$$$$

19. • Mature enterprise-ready SQL for sophisticated DW scenarios;
• Existing SQL Server scripts and tools just work;
• Continuous enhancements on language surface;
Modular
programming;
(write once, execute multiple
times)
Faster code execution;
Encapsulated
programming logic;
Easier maintenance of
large tables;
Improves
performance;
Enhanced scalability
and availability;
Allows proper use and
comparisons of
characters in different
languages;
Mature Column-Store
technology for best-
in-class DW query
performance;

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25. C:PS>$ServerName = “DemoServer”
C:PS>$DatabaseName = “SampleDW”
C:PS>$ServiceObjective = “B89B9C6A-4EC2-4EB8-99DB-6D2807E6AAB”
(DW1000)
C:PS>$Database = Get-AzureSqlDatabase -ServerName $ServerName
-DatabaseName $DatabaseName
C:PS>Set-AzureSqlDatabase –ServerName $ServerName
–ServiceObject $ServiceObjective

27. ALTER DATABASE [dbo].[SampleDW]
{
SET SERVICE_OBJECTIVE = 'DW1000'
};

29. • Leverage Azure ML, Power BI, ADF, Stream Analytics and more;
• Streamlined deployment with Azure Portal;
• Deep tool integration with top partners ;
Azure SQL DW
Azure ML
Azure Event Hub
Azure HDInsight

30. Where Azure SQL Data Warehouse fits in your Analytics pipeline;

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33. https://channel9.msdn.com/Shows/Data-Exposed/A-First-Look-at-Azure-SQL-
Data-Warehouse
https://channel9.msdn.com/events/Build/2016/P402
https://channel9.msdn.com/events/Ignite/Microsoft-Ignite-New-Zealand-2015/M242
https://azure.microsoft.com/en-us/documentation/services/sql-data-warehouse/