The most exciting feature of July release is Composite models. This feature lets you seamlessly extend your DirectQuery models with other DirectQuery sources or even imported data. earlier it wasn’t possible to connect many DirectQuery to the same report or with import data.
With this release, that barrier has been removed and single report can combine with one or more DirectQuery source /import data set.
Find out more
Many to many relationship
this is one of the most awaited feature and with this you can join tables using a cardinality of Many to Many, and create data models that contain multiple data sources easier and more intuitively. The many-to-many relationship feature is part of the larger composite models
Find more here
Analytics (Distribution factor insights)
How you find out new type of insight with your existing data ,now you can find through it Insights feature, which finds different filters that create significant different distributions compared with the original graph. You’ll notice in the insights, we use the stepped line to represent the original chart and the bars of the combo chart to represent the new distribution
Visualization and formatting
More on the visualization and formatting here
This ebook from Mahesh Kshirsagar of the Azure Customer Advisory Team (AzureCAT) will help demystify Kubernetes and show you a real-life scenario in which a basic tiered application is deployed using pods and controllers. You’ll be walked through steps to deploy a simple application with a web front end running ASP.NET Core 1.0 and a back end with a SQL Server container running on Linux
Do you need to sync data between azure SQL databases ? or on-prem SQL to Azure SQL ? with unidirectionally or bidirectionally ?
Here is the tool for it “Azure SQL Data Sync” , which is now in GA and ready to deploy to production.
This has many built in features and functionalities to cater enterprise data sync requirements.
The Data Sync uses a hub and spoke topology to synchronize data and can be configured below sync options
Conflict resolution policy
Check out the Azure SQL Data Sync documentation to get started, and get more details from the following content:
How you get to know data architectureal guide ,compare the structure ,un-structure solutions
Below are the highlighted HDInsitht announcement and can read more https://azure.microsoft.com/en-us/pricing/details/hdinsight/
- Up to 52% price reduction in Azure HDInsight
- Additional 80% price reduction for R Server for Azure HDInsight
- General availability of Apache Kafka.
- General availability of Azure Log Analytics integration
- Enterprise Security Package preview for Azure HDInsight
- Public preview integration with Power BI direct query
- Advanced development tools for Apache Spark