The Pragmatic Engineer
JUNE 1, 2023
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
KDnuggets
JUNE 9, 2025
Ive put together a handful of practical Python projects that can help automate those mind-numbing tasks we all face. Ive put together a handful of practical Python projects that can help automate those mind-numbing tasks we all face. I totally get it. But you can automate most of this boring stuff with Python. Let’s get started.
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Seattle Data Guy
NOVEMBER 8, 2024
Recently, I’ve encountered a few projects that used AWS DMS, which is almost like an ELT solution. Whether it was moving data from a local database instance to S3 or some other data storage layer. It was interesting to see AWS DMS used in this manner. But it’s not what DMS was built for.
The Pragmatic Engineer
AUGUST 8, 2024
” A few days ago on 27 February, Klarna shared progress, a month after the project went live. The below article was originally published in The Pragmatic Engineer , on 29 February 2024. I am re-publishing it 6 months later as a free-to-read article. This is because the below case is a good example on hype versus reality with GenAI.
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Every time an application team gets caught up in the “build vs buy” debate, it stalls projects and delays time to revenue. There is a third option. Partnering with an analytics development platform gives you the freedom to customize a solution without the risks and long-term costs of building your own.
ProjectPro
JUNE 6, 2025
Data preparation for machine learning algorithms is usually the first step in any data science project. In building machine learning projects , the basics involve preparing datasets. In this blog, you will learn how to prepare data for machine learning projects. Imagine yourself as someone who is learning Jazz dance form.
ProjectPro
JUNE 6, 2025
With over 54 repositories and 20k stars, Streamlit is an open-source Python framework for developing and distributing web apps for data science and machine learning projects. Let us explore a few exciting Streamlit python project ideas for data scientists and data engineers. using Streamlit.
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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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What should product managers keep in mind when adding an analytics project to their roadmap? What should software teams know about implementing security that works with the rest of their products?
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Great dashboards lead to richer user experiences and significant return on investment (ROI), while poorly designed dashboards distract users, suppress adoption, and can even tarnish your project or brand. Dashboard design can mean the difference between users excitedly embracing your product or ignoring it altogether.
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Inside you will learn: How embedded analytics has become essential to business applications When to buy an embedded analytics solution and when to build one How to go-to-market, from pricing and packaging to external promotion How to build a business case and sell the project internally The future of embedded analytics …plus so much more.
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. That’s where data-driven construction comes in. You won’t want to miss this webinar!
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In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late.
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It can be confusing to determine which features are most important for your project. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! Are you trying to decide which entity resolution capabilities you need? And sometimes key features are overlooked.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
Anticipated future use cases as we project into 2024 and beyond. Delve into the distinctive roles and responsibilities of a Platform PM compared to other Product Managers. Examine real world use cases, both internal and external, where data analytics is applied, and understand its evolution with the introduction of Gen AI.
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