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I’d like to share a story about an educational side project which could prove fruitful for a software engineer who’s seeking a new job. Juraj created a systems design explainer on how he built this project, and the technologies used: The systems design diagram for the Rides application The app uses: Node.js
cross-project dependencies ( credits ) Over the last few years, dbt has become a de facto standard enabling companies to collaborate easily on data transformations. Whatever the number, there will be a critical point at which a single project no longer scale. Cross-project references is a key enabler to data team decentralisation.
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What should product managers keep in mind when adding an analytics project to their roadmap? Download this eBook to discover insights from 16 top product experts, and learn what it takes to build a successful application with analytics at its core.
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Were thrilled to announce the release of a new Cloudera Accelerator for Machine Learning (ML) Projects (AMP): Summarization with Gemini from Vertex AI . AMPs are all about helping you quickly build performant AI applications. Stay tuned for future AMPs well build using Cloudera AI and Vertex AI.
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Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
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At first, the Flask project was just an April Fool’s joke. You should use a virtual environment to track your Flask project’s resources. This keeps your project’s requirements separate and prevents them from clashing with those of other projects. Steeper learning curve for larger projects.
It's supposed to make building smarter, faster, and more flexible data infrastructures a breeze. By bringing all the layers of the data stack together, TimeXtender helps you build data solutions up to 10 times faster and saves you 70-80% on costs. We feel your pain. It ends up being anything but that. We feel your pain.
Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Download the whitepaper to see the 7 most common approaches to building a high-performance data architecture for embedded analytics.
Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Dagster offers a new approach to building and running data platforms and data pipelines. If you've learned something or tried out a project from the show then tell us about it! Your first 30 days are free!
The title of the book takes aim at the “myth” that software development can be measured in “man months,” which Brooks disproves in the pages that follow: “Cost [of the software project] does indeed vary as the product of the number of men and the number of months. Progress does not. The toolsmith.
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Build a strong data science portfolio by showcasing technical skills, working on real-world projects, staying active on LinkedIn, and leveraging platforms like GitHub and Kaggle to demonstrate your expertise.
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