entities in a customer's data lake - expected features in 2020 Release wave 1 plan from April to Sept 2020 in Microsoft Dynamics 365 Supply Chain Management

entities in a customer's data lake - expected features  in 2020 Release wave 1 plan from April to Sept 2020 in Microsoft Dynamics 365 Supply Chain Management

Business value
Why export data to your own Azure SQL Database when the data is readily available in your own
data lake? This feature enables customers to reduce their reliance on Bring your own database
(BYOD) and eventually retire the use of BYOD. Having access to Data Entity definitions in Azure
Data Lake enables customers to retire BYOD service without changing their downstream
integrations.
Customers upgrading from Microsoft Dynamics AX 2009 and Dynamics AX 2012 who have their
existing data warehouses integrated into operational databases can now upgrade to Finance
and Operations apps with minimal disruptions to their existing integrations with access to Table
level data. With the addition of Entity shapes, business users can easily consume the data
without having to understand underlying table definitions and relationships.

'Feature details
Entities in the Finance and Operations apps are now available within your own Azure data lake.
Customer can choose the required entities. The system identifies the underlying tables and
keeps the corresponding data refreshed on a near real-time basis. There is no need to monitor
and manage export jobs or schedules. Power users and developers can use a variety of tools and
languages to access data within their own data lake, including DataFlows, Spark, and SQL. By
using Azure Synapse, you can get access to entity data as SQL view definitions.