Azure Data and Analytic Services
Every customer has their own personality. Some customers come from different
industries, while other customers espouse different visions and atmospheres.
One customer may request Satisfaction Survey Analysis and yet another may request
Sales Channel Analysis, or Competitor Analysis.
However, there is at least one trait that all customers have in common.
Every customer needs
to believe that their company resources ($$$) are being used in an efficient and financially
It is out of this common desire to always improve efficiency and enforce financial responsibility
that the value of Azure (Cloud) comes into clear light. Features such as elasticity, scalability,
and compute pause all help organizations reduce on-premises infrastructure, maintenance, and personnel
One example where Azure cloud saves a customer money is by only charging for what is stored
and what is computed. Server waste (under-utilization) is shown on this page's title diagram.
In the Azure cloud, a customer is not charged for this waste.
Customers may decide to lift and shift current on-premises environments to the Azure cloud, or may intend
on taking a more future, features driven approach, that strategically embraces a new Enterprise Data
Architecture that relies entirely on Azure integration tools (not on-premises tools).
More aggressive approaches include moving on-premises SQL Servers to the cloud, while making sure all of
the new Enterprise Data Architecture relies on data sources only in the cloud. Hybrid approaches of migrating
some SQL Servers to the cloud, while other servers use a data Gateway and remain on-premises are often incorporated.
Do you need to Lift and Shift existing SQL Server(s) to the Cloud, or Implement a
Modern Azure Cloud Data (Storage) Architecture including a Data Lake, a Data Warehouse,
and an Analytics / Analysis platform with analyst visualizations?