Remove category platform security-and-trust
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Viral spam content detection at LinkedIn

LinkedIn Engineering

On the LinkedIn platform, members from around the world share their knowledge, perspectives, and discuss topics important to them. Our goal at LinkedIn is to enable them to do so in a safe, trusted, and professional environment. Although such incidents occur infrequently they can have detrimental effects when they do.

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How Cloudera Supports Zero Trust for Data

Cloudera

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). This is the balancing act of security. It’s a win-win.

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What are ChatGPT Prompts and How to Write Your Own? [With Pro Tips]

Knowledge Hut

In this blog post, I have shared 30 carefully curated prompts catering to various industries. By offering a diverse array of prompts, this blog post aims to provide valuable resources for professionals seeking to enhance their writing skills or generate fresh ideas within their respective industries. What is ChatGPT Prompt?

Media 52
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AWS Certification Cost and Type of AWS Certification Exam

Knowledge Hut

These advantages include faster time to market, scalability, flexibility, cost savings, and advanced security features. In this blog, we will focus on the certifications offered by Amazon AWS. Top AWS Certification Costs and Type AWS certifications are mostly divided into four categories.

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PinCompute: A Kubernetes Backed General Purpose Compute Platform for Pinterest

Pinterest Engineering

Harry Zhang, Jiajun Wang, Yi Li, Shunyao Li, Ming Zong, Haniel Martino, Cathy Lu, Quentin Miao, Hao Jiang, James Wen, David Westbrook | Cloud Runtime Team Image Source: [link] Overview Modern compute platforms are foundational to accelerating innovation and running applications more efficiently.

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Azure Data Engineer Skills – Strategies for Optimization

Edureka

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required. Contents: Who is an Azure Data Engineer?

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Two Downs Make Two Ups: The Only Success Metrics That Matter For Your Data & Analytics Team

DataKitchen

It lists forty-five metrics to track across their Operational categories: DataOps, Self-Service, ModelOps, and MLOps. Under Quality, the Data Quality Incidents metric measures the average data quality of datasets, while the Active Daily Users metric measures user activity across data platforms. Data systems require trust.