This year’s first keynote is entitled 'Bringing the future into focus,
the end to end Azure Data platform'.
Digital transformation brings change. This change of new
technologies can be challenging to learn. For businesses the economies of scale can create efficiencies. The data platform has many elements BI, Analytics and AI, Hybrid Data management, relational databases,
Edge and IOT, NoSQL databases, Azure
Open Source Database Services (OSS databases) etc. New
technologies can help save time. It is good news that the DBA’s key skills are
transferable.
Azure services consist of SQL Server on Azure Virtual
Machines (for lift and shift and OS level access), Azure SQL Managed Instances
(for modernizing existing apps), Azure SQL Database (for build cloud apps).
There is also hyperscale for specific use cases. SQL Server workloads run
best on Azure and have patching regimes.
It is good to see that Azure helps customers move at their
own pace to the cloud which will enable them to pivot their company with less
risk to something new. Azure SQL Server serverless means pay only for
what is required. Azure Edge is an interesting development and is now generally
available.
With the complex network of applications and systems in the modern data landscape it can be difficult to connect the data to gain value. Data virtualization is an important change.
Azure Arc is, I think, a real game changer to help with diverse database locations. It is a set of technologies that extends azure management and native data services outside of azure infrastructure to run across your environment even if you can’t migrate to the cloud due to data sovereignty, latency and or regulatory requirements you can still get the efficiency and agility the cloud offers with Azure Arc.
It is a versionless evergreen SQL that ensures you are always current. It provides cloud elasticity on premises which allows optimization of performance of your workloads and dynamically scale up and down without application downtime. Azure Arc offers unified management which allows you to see your data services running on premises alongside these running on azure through a single pane of glass and manage them using familiar tools like azure portal, azure data studio and azure CLI.
Azure Arc enabled SQL Server Managed Instance and PostgreSQL
Hyperscale are in Public Preview
It is possible to
use features such as vulnerability assessment and advance threat protection
with SQL Defender using the same rules and machine learning algorithms.
The public preview was announced for
- Azure Cosmos DB – Serverless for all APIs
- Azure Database for PostgreSQL – Flexible Server
- Azure Database for MySQL – Flexible Server
- Azure Cache for Redis – Enterprise
Cloud Scale analytics on Azure with Azure Synapse Analytics
and Azure Databricks
Announcing public preview of new guided UI for machine learning models. Then to complete the services, Azure Synapse to analyse the data and then report on it in Power BI completes the stack.
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