Tag Archives: Azure SQL Data Warehouse

Our solution included in Microsoft Ignite 2017 Keynote

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Azure Cosmos DB, Azure DW, Machine Leaning, Deep Learning, Neural Networks, TensorFlow, SQL Server, ASP.NET Core… are just a few of the components that make up one of the solutions we are currently developing.

Have been under a social media embargo, until today, but now that the Microsoft Ignite 2017 keynote has taken place, I am able to proudly say that the solution our team has been working on for some time was part of the Keynote addresses.

During the second keynote lead by Scott Guthrie, Danielle Dean a Data Scientist Lead discussed at a high level, one of the solutions we are developing at Jabil, which involves advanced image recognition of circuit board issues. The keynote focused in on the context of the solutions data science portion and introduced the new Azure Machine Learning Workbench to the packed audience.

Tomorrow morning there is a session – “Using big data, the cloud, and AI to enable intelligence at scale” (Tuesday, September 26, from 9:00 AM to 10:15 AM, in Hyatt Regency Windermere X)… during which we will be going into a bit more detail, and the guys at Microsoft will be expanding on the new AI and Big Data machine learning capabilities (session details via this link).

Azure SQL Data Warehouse: Troubleshoot with the Resource Health check

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Azure DW Resource HealthAzure DW Resource Health2 New update for Azure SQL Data Warehouse…

Reduce troubleshooting time with the upgraded Resource Health check for SQL Data Warehouse.

This upgrade considers the health status of all components of the SQL Data Warehouse architecture, which includes each SQL database distribution and the SQL Data Warehouse engine on each compute node. Login and heartbeat signals of each component are emitted at least once every 2 minutes, providing you a low-latency, holistic view of the health status of your data warehouse. If your instance is Unavailable, we will provide the reason along with recommended actions that you should perform.

The Resource Health check can detect unavailability reasons, such as when your instance is pausing, scaling, or upgrading. This feature also detects when there are any connection issues, whether they are user connections or inner SQL database connections.

You check the health of SQL Data Warehouse by signing in to the Azure portal and clicking the Resource Health blade.

Source: – https://azure.microsoft.com/en-us/updates/azure-sql-data-warehouse-troubleshoot-with-the-resource-health-check/