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Data Engineering Weekly #166

Data Engineering Weekly

Poor data quality and unlcear data ownership remains the top challenges for the data teams. link] Matt Turck: Full Steam Ahead: The 2024 MAD (Machine Learning, AI & Data) Landscape Coninue the week of insights into the world of data & AI landscape, the 2024 MAD landscape is out.

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Data Engineering Weekly #155

Data Engineering Weekly

Visit rudderstack.com to learn more. Sebastian Raschka: Ten Noteworthy AI Research Papers of 2023 It is an eventful 2023 in machine learning and AI research. Interesting article on the impact of search engine optimization (SEO) on the quality of search engine results.

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Top Backend Project Ideas for Your Portfolio

Knowledge Hut

If you really want to build some cool backend projects, then this blog post is for you to provide a comprehensive guide for your career goals and guidance. It is the expertise and knowledge that empowers every backend developer to create robust, reliable, available and scalable large-scale applications.

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PinCompute: A Kubernetes Backed General Purpose Compute Platform for Pinterest

Pinterest Engineering

This will accelerate innovation through platform agility, scalability, and a reduced cost of keeping systems up to date, and will improve efficiency by running our users’ applications on Kubernetes-based compute. Architecture PinCompute is a regional Platform-as-a-Service (PaaS) that builds on top of Kubernetes.

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Transforming MLOps at DoorDash with Machine Learning Workbench

DoorDash Engineering

It is amusing for a human being to write an article about artificial intelligence in a time when AI systems, powered by machine learning (ML), are generating their own blog posts. We also shed light on how we drove value by taking a user-centered approach while building this internal tool.

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DataOps vs. MLOps: Similarities, Differences, and How to Choose

Databand.ai

By adopting a set of best practices inspired by Agile methodologies, DevOps principles, and statistical process control techniques, DataOps helps organizations deliver high-quality data insights more efficiently. Learn more in our detailed guide to DataOps tools (coming soon) What Is MLOps?

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AWS Advantages and Disadvantages [Pros and Cons]

Knowledge Hut

Because of its high-quality features and services, it has been a successful cloud computing provider in this cutthroat industry. Along with the well-known advantages, I will also cover the lesser-known disadvantages of AWS in this blog. Amazon has emerged as the clear leader in cloud computing since its 2006 launch. What is AWS?

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