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Learning Guide: Azure Data Solution Architecture Resources - 5MinuteBI
Learning Guide: Azure Data Solution Architecture Resources - 5MinuteBI
set of curated resources that will get you started. The resources are split into a number of sections that roughly follow the order of your design decisions.   With the wide variety of possible architectures, this post concentrates on a data reporting and analytics style of solution.
tommypuglia·5minutebi.com·
Learning Guide: Azure Data Solution Architecture Resources - 5MinuteBI
Azure Synapse Series: What is Workload Management (part2) | Purple Frog Systems
Azure Synapse Series: What is Workload Management (part2) | Purple Frog Systems
So in part 1 we found out what Workload Management was and why we wanted to use it. (If you haven’t read that part, please click here and read that post before you carry on, as we’re jumping in at the deep end!) In this part we’ll be learning how to configure it. Continuing from […]
tommypuglia·purplefrogsystems.com·
Azure Synapse Series: What is Workload Management (part2) | Purple Frog Systems
REST source and sink now available for data flows
REST source and sink now available for data flows
Data flows in Azure Data Factory and Azure Synapse Analytics now support REST endpoints as both a source and sink with full support for both JSON and XML payloads.   You can now connect to REST endpoints natively in ADF & Synapse data flows as a way to transform and process data inline with the code...
tommypuglia·techcommunity.microsoft.com·
REST source and sink now available for data flows
Introducing Delta Sharing: an Open Protocol for Secure Data Sharing
Introducing Delta Sharing: an Open Protocol for Secure Data Sharing
Data sharing has become critical in the modern economy as enterprises look to securely exchange data with their customers, suppliers and partners. For example, a retailer may want to publish sales data to its suppliers in real time, or a supplier may want to share real-time inventory. But so far, dat
tommypuglia·flip.it·
Introducing Delta Sharing: an Open Protocol for Secure Data Sharing
Tracing with Log Analytics and Power BI | Guy in a Cube
Tracing with Log Analytics and Power BI | Guy in a Cube
With Log Analytics integration in Power BI, you can now capture Analysis Services trace events easily and over a longer period of time. Combined with the Power BI template report, you can gain a lot of insights into usage of your datasets. With more to come down the road! Announcing long-term usage and performance insights […]
tommypuglia·guyinacube.com·
Tracing with Log Analytics and Power BI | Guy in a Cube
Announcing General Availability (GA) of the Power BI connector for Databricks
Announcing General Availability (GA) of the Power BI connector for Databricks
We are excited to announce General Availability (GA) of the Power BI connector for Databricks, including the ability to connect to Databricks without an on-premises data gateway as well as support for Azure Active Directory (AAD) authentication and SSO in DirectQuery mode in the Power BI service.
tommypuglia·powerbi.microsoft.com·
Announcing General Availability (GA) of the Power BI connector for Databricks
T-SQL Tuesday #135 – My Tools for the Trade
T-SQL Tuesday #135 – My Tools for the Trade
It’s T-SQL Tuesday!! After making my first contribution to T-SQL Tuesday last month, I figured I couldn’t stay behind when it’s a topic I have loads to share on. T-SQL Tuesday is the brainchild of Adam Machanic (Blog | Twitter). December 2009 was the first T-SQL Tuesday invitation that went out by Adam. It is a monthly […]
tommypuglia·bennidejagere.com·
T-SQL Tuesday #135 – My Tools for the Trade
The Data Café - A Secret Sauce for Adoption — DATA GOBLINS
The Data Café - A Secret Sauce for Adoption — DATA GOBLINS
What kinds of things can we do to ensure adoption once the reports are live? One of the easiest ways is to host a regular “data café” surrounding the solution. In this article we examine why this is valuable.
Adoption implies an acceptance or integration of the solution into that community’s process and decision-making ecosystem. Healthy adoption also spreads; in the best-case scenario, it’s not just accepted, but advocated by end-users to others.
In reality, data solutions are organs in the living body of our user community; our organization. They are tightly coupled with our processes, our way-of-working, and even our identities in the workplace.
But like any transplantation, much of the work comes afterward; aftercare & recovery. We can prevent infection (i.e. bugs & bad quality data), or conduct small interventions where things aren’t going right (i.e. change requests). But the best way to ensure recovery is to look after the patient, themselves. To talk with them, follow-up with them, rehabilitate them, consult them
tommypuglia·data-goblins.com·
The Data Café - A Secret Sauce for Adoption — DATA GOBLINS