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Collect Logs and Traces From Your Snowflake Applications With Event Tables

Snowflake

We are excited to announce the general availability of Snowflake Event Tables for logging and tracing, an essential feature to boost application observability and supportability for Snowflake developers. Developers can then query Event Tables to troubleshoot their applications or gain insights into performance and code behavior.

Java 90
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Will It Automate? Accessibility Testing by Will McKenzie

Scott Logic

There’s just one last hurdle you’ve got to overcome: accessibility testing. Well, there is… and don’t call me Shirley… Make it automatic What if I told you that you could build accessibility testing into your automated test suites so that you can make sure your pages and components are accessible from the start? hover ( screen.

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Async APIs - don't confuse your events, commands and state by David Hope

Scott Logic

I’ve coloured the data entities according to their types and we see there’s a few different patterns like events and state which we’ll discuss in a moment. I’ll use the term message in this blog as a generic term for asynchronous communication that may be state or commands or events.

AWS 52
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Directory Tables : Access Unstructured Data

Cloudyard

They are used to provide Snowflake access to unstructured datafiles and supports both of internal or external stage Query a directory table helps to retrieve the snowflake hosted file URL for each file present in stage. To implement the same we need to configure the Event notification for Directory tables. Auto-ingestSnowflake).

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Making Digital Products Accessible by Doro Hinrichs

Scott Logic

Every year on Global Accessibility Awareness Day , people come together to raise awareness about the barriers many users still face in the digital world. This May, we, Doro Hinrichs and Oded Sharon, attended an accessibility panel discussion and workshop with UserVision on Creating Accessible Digital Experiences.

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Data Mesh Architecture: Revolutionizing Event Streaming with Striim

Striim

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. By exploring the benefits of using Data Mesh for your event streaming architecture, this article will help you decide if it’s the right solution for your organization.

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Making Spark Accessible: My Databricks Summer Internship

databricks

My summer internship on the PySpark team was a whirlwind of exciting events. The PySpark team develops the Python APIs of the open.