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Our Learnings from the Early Days of Generative AI

LinkedIn Engineering

The Benefit of Knowledge Sharing and Learning Together - Throughout the engineering organization and across the different teams, you’ll often hear about our “OneLinkedIn” culture. Overall, our team's work is contributing to an engineering culture at LinkedIn that values exploration, collaboration, and innovation.

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Cloud Analytics Powered by FinOps

Cloudera

Cultural Shift As organizations seek agility and innovation, cloud computing is the most appropriate way to prototype and launch new products and services, reducing the time to market. Afterward, those tags are also used to track resource usage, assign usage to cost centers/departments, and trigger automation policies.

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Inside Pollen's Software Engineering Salaries

The Pragmatic Engineer

I asked tech employees why they chose to work at the company, and answers came down to a mix of the support for remote, attracted to a culture of transparency - like with the equal pay report -, the diversity of the team and the career opportunities that came with a seemingly high-growth startup.

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How to identify your business-critical data

Towards Data Science

How to keep your critical data model definitions updated Automate as much as possible around tagging your critical data models. bronze, silver, gold) or a binary approach (e.g. critical, non-critical). Source: synq.io Source: secoda.co Here are some processes to build in quality by design.

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Building Netflix’s Distributed Tracing Infrastructure

Netflix Tech

If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls. Edgar uses this infrastructure tagging schema to query and join traces with log data for troubleshooting streaming sessions.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

AltexSoft

Such an object storage model allows metadata tagging and incorporating unique identifiers, streamlining data retrieval and enhancing performance. While these may have hierarchical or tagged structures, they require further processing to become fully structured. Watch our video explaining how data engineering works. Data lake on AWS.

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7 Best Practices to Use While Annotating Images

AltexSoft

Now, the primary function of data labeling is tagging objects on raw data to help the ML model make accurate predictions and estimations. This metadata is always in the form of tags, which then can be added to various data types like text, images, and video. Tag or Label Occluded Objects. What are occluded objects ?