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How to treat secure data on lakehouse

Lakehouse is a hybrid solution that combines the scalability of a data lake with the transactional power of a data warehouse.
Secure data in a lakehouse architecture can be treated by using encryption, hashing, and string masking techniques.
Fine-grained access control can be implemented in a lakehouse architecture to limit access to specific data fields, rows, or columns.
AWS Lake Formation and GCP BigQuery provide features to manage and enforce data governance and security in a lakehouse architecture.

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Medium

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Web Scraping With Watir Ruby in 2025

Watir is a Ruby library for automating web browsers for testing purposes.
It can be used for web scraping by interacting with browsers like Chrome, Firefox, and Edge.
To set up Watir, users need to install Ruby and then the Watir gem.
Watir provides functionality for extracting data, handling pagination, simulating scrolling, and capturing screenshots.

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Medium

377

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A Beginner’s Guide to Git and GitHub

Git and GitHub are essential tools for managing code changes and collaborating on projects.
Git is a local version control system that tracks code changes, while GitHub is an online platform for hosting repositories.
Initiate a Git repository in a project folder with 'git init' to start tracking changes locally.
Use 'git clone' to download an existing repository from GitHub to work on locally.
Creating branches in Git allows multiple developers to work on different versions of a project simultaneously.
Stage changes with 'git add' and save them with 'git commit' after describing the changes.
'Git push' uploads commits to a remote repository, like GitHub, to share code with others.
To fetch and merge changes from a remote repository, use 'git pull' to stay synchronized with the project.
Undoing commits in Git can be done using 'git revert' to safely undo changes.
Merging branches in Git is accomplished with 'git merge' to combine changes from one branch into another.

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Alvinashcraft

143

Dew Drop – April 8, 2025 (#4399)

Various topics were covered in the Dew Drop on April 8, 2025, including Model Context Protocol (MCP) server building, AI in .NET, SOLID principles in Angular, and Git's 20th anniversary.
The article also discussed security best practices for ASP.NET developers, building chat interfaces with KendoReact, and using OpenAPI overlays for specialization within domains.
In the AI sphere, topics ranged from LLMs to AI coding assistants, multimodal search, and Cloud Native Infrastructure for GenAI applications.
Design, methodology, and testing were highlighted with topics such as GitLab vs GitHub, data visualization, and alternative design approaches with functional programming.
Additionally, the article covered mobile, IoT, and game development updates, along with various screencasts, podcasts, and community-related announcements.
Events like the Global AI Bootcamp 2025 were mentioned, along with database updates, information on SharePoint, Microsoft Teams, Windows 11 Insider Preview, and more.
The article also touched on miscellaneous topics such as tariffs, Golang's popularity trends, and a selection of curated link collections for further reading.

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Dev

156

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Implement BDD in python using behave & allure

Behavior-Driven Development (BDD) emphasizes collaboration using natural language to define software behavior focusing on desired outcomes.
Behave is a Python BDD framework that writes tests in Gherkin syntax and automates tests using Selenium.
Allure is a test reporting framework that visualizes test results with an interactive interface.
The project structure includes folders like config, features, screenshots, steps, xpaths, and config.properties.
Feature files are written in Gherkin syntax, Python files contain step definitions, and properties files hold configuration data.
Recommended libraries to install include behave, allure-behave, and selenium.
PyCharm Community is the suggested IDE for writing and running code.
Implementation involves creating feature files, step definition files, and organizing the project structure.
By executing commands in the terminal, tests can be run and Allure reports can be generated to visualize test results.
Automating tests using BDD in Python with Behave and Allure enhances test efficiency and collaboration among team members.

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Dev

251

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Reasoning Engine vs. Search Engine

A search engine is designed to help users find information quickly from a large dataset.
It uses algorithms like keyword matching and ranking to provide the most relevant results.
A reasoning engine, also known as an inference engine, derives new knowledge or makes logical decisions based on rules and known facts.
While a search engine focuses on finding information, a reasoning engine generates conclusions by applying rules to known data.

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Oreilly

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Seniors and Juniors

The distinction between senior and junior software developers is inherent in job titles, with seniors having more responsibility and potential for larger mistakes.
Junior developers are expected to have familiarity with programming languages, basic algorithms, server-side operating systems, and team projects.
Senior developers are expected to have deep knowledge of company languages, experience with large projects and legacy software, the ability to mentor, and strong debugging skills.
While languages and algorithms are important, what distinguishes a senior developer is skills like teamwork, understanding enterprise requirements, and problem solving.
Senior developers focus on problem-solving, understanding problems systematically, and having a holistic view of software development.
Leadership, mentoring, and the ability to recognize patterns in code are key aspects that differentiate senior developers.
AI-driven coding assistants can make work for seniors if used uncritically by juniors, requiring juniors to develop critical evaluation skills earlier.
It is crucial to teach junior developers broader problem-solving skills, communication abilities, and how to adapt to new technologies like AI.
The transition from junior to senior developer requires gaining experience in working on complex, real-world projects and understanding the bigger picture of software development.
We need pathways for juniors to become seniors, incorporating AI thoughtfully into workflows, and focusing on problem-solving skills and collaboration in the tech industry.
Mentoring, encouraging big-picture thinking, and teaching problem-solving are essential in building a strong, effective software development workforce.

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Dev

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Analysis of Key Technical Principles for a Visual Drag-and-Drop Component Library - 2

This article complements a prior piece on technical principles for a visual drag-and-drop component library, adding functionalities like Drag Rotation, Copy, Paste, Cut, Data Interaction, and Publishing.
For Drag Rotation, the Math.atan2() function is utilized to calculate the rotation angle based on mouse movements and the component's center.
Issues with Zoom In and Out after rotation are addressed by associating zoom calculations with the rotation angle for accurate resizing.
Automatic Snapping now considers the size and displacement of rotated components to ensure correct snapping behavior.
Cursor directions are now dynamically matched with component angles for accurate dragging feedback.
Copy, Paste, and Cut functions facilitate component duplication and manipulation through key commands or right-click operations.
Different methods for Data Interaction are discussed, including using APIs for component data retrieval and displaying backend-sourced information.
Publishing options include rendering component data as HTML or extracting a standalone runtime with custom components for efficient deployment.
Lazy Loading of custom components and versioning for component updates are highlighted as strategies for managing complex component libraries.
The article references related topics like Math calculations, matrix representation of rotations, and useful projects for implementation.

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Hackernoon

182

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This 2025 Coding Trend Claims to Solve Your IT Nightmares—But Is It Too Good to Be True?

Vibe coding is a hot trend in 2025 where AI turns ideas into code quickly and effortlessly, popularized by AI guru Andrej Karpathy.
It involves conversing with AI like GitHub Copilot in plain English to generate code, allowing for experimental and fun coding experiences.
Stats show that a significant percentage of startups in 2025 had AI-generated codebases, with tools like Cursor and Replit Agent facilitating this shift.
Even enterprise platforms like ServiceNow are embracing vibe coding, enabling non-coders to create using low-code or no-code features with AI assistance.
ServiceNow's App Engine and Now Assist AI empower users to build apps and workflows by articulating requirements in simple language, enhancing productivity.
An example scenario at Dunder Mifflin showcases how vibe coding on ServiceNow automates processes like onboarding without requiring users to delve into complex coding.
ServiceNow's AI generates code in the background based on user inputs, providing a glimpse into the magic of vibe coding without the need for manual coding.
The combination of structured components and AI capabilities in ServiceNow ensures a balance between creativity and control, making vibe coding liberating yet secure.
While vibe coding accelerates processes, caution is advised for complex applications as manual coding may still be necessary for optimal functionality and security.
Vibe coding's influence is expanding, with ServiceNow and other platforms enhancing AI integration for smarter development and wider adoption.
Overall, vibe coding represents a shift towards a more creative, less restrictive approach to coding, empowering users to innovate and create with ease.

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Medium

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“9 Programming Lessons I Wish I Knew Earlier”

When choosing where to work, consider your love for programming and creative problem-solving.
Focus on mastering variables, loops, data structures, and algorithms as the building blocks of coding.
Engage in real projects, open-source contributions, and networking with other programmers to gain experience and guidance.
Embrace the process of continuous learning and personal growth, start with small projects, and develop effective communication and teamwork skills.

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Medium

108

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How to Optimize Swift Code for Performance

Swift provides many ways to optimize code for performance.
Use structs instead of classes for faster execution.
Avoid excessive checking and unwrapping of optionals.
Move repeated work outside the loop and mark non-always-needed objects as lazy.

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Medium

182

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Leak and Seek: A Go Runtime Mystery

A potential memory leak crisis led a team to embark on a debugging adventure in Go runtime.
The investigation revealed a memory leak issue originating from the SQLite3 driver, not typical in Go.
Heap profiles pointed to leaked resources from cloud provider services and database cache management.
The team identified leaked SqliteRows, SqliteStmt, and SqliteConn objects without clear references in their code.
After thorough scrutiny of the SQLite3 driver code and finalizer mechanism, a blocked finalizer goroutine was revealed as the cause.
The root cause was traced to a blocking bug in go-smb2 package, causing SQLite leaks during database operations.
Anomalies in goroutine traces led to the discovery of a debugging anomaly that was reported and fixed by the Go team.
The team implemented a monitoring loop to detect blocked finalizers in real-time, enhancing their debugging capabilities.
The investigation highlighted the team's relentless pursuit of uncovering the root cause and their collaborative problem-solving approach.
This challenging experience not only led to resolving the memory leak but also contributed to improvements in Go's runtime and debugging practices.

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Hackernoon

139

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Yes, You Can Add ‘Paper-Checkbox’ to Vaadin—and It’s Easier Than You Think

This article explains how to add 'paper-checkbox' to Vaadin applications.
The implementation process involves finding the Web Component, installing it via npm, and integrating it in Vaadin.
The code implementation includes creating a checkbox method, a custom checkbox class, and a PolymerCheckbox class to encapsulate the web component.
Best practices for implementing Web Components in Vaadin include creating proper wrappers and utilizing CustomField for validation and field features.

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Hackernoon

260

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This 20-Year-Old UI Framework Is Outshining Its Newer Rivals And You Can Learn it Today

Vaadin is a UI framework that has been evolving for over 20 years and offers a comprehensive library of robust components.
Vaadin follows a democratic approach to UI development, allowing seamless integration of components from outside the Vaadin ecosystem.
The concept of 'fields' in Vaadin extends beyond input components and includes various UI components, offering interesting possibilities for interface development.
Custom components and web components can be incorporated in Vaadin development to go beyond the established boundaries.

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Hackernoon

321

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Cut Load Times in Half with These Next.js Tweaks

Optimizing Next.js applications involves combining improvements in code and infrastructure to enhance performance and efficiency.
Understanding how Next.js renders content through methods like SSR, SSG, ISR, and CSR is crucial for optimizing performance.
Component-Level Optimizations like memoizing functions and components can reduce unnecessary re-renders and improve performance.
Optimizing Context API usage by splitting contexts based on domain and employing custom hooks enhances performance and maintainability.
Data Fetching Optimizations include using SWR or React Query for caching, revalidation, and error handling to streamline data fetching processes.
Leveraging getStaticProps and getServerSideProps in Next.js optimizes fetching data during the build process or on every request for dynamic or static content.
Image and Asset Optimization tips include using the Next.js Image component, specifying dimensions, and supporting modern image formats like AVIF and WebP.
Route and Bundle Optimization strategies involve dynamic imports for code splitting, prefetching routes, and disabling SSR for client-specific components.
Next.js optimizations lead to the development of fast and efficient applications, offering users a seamless experience with improved scalability and performance.
By implementing these best practices, web applications can achieve better responsiveness, reduced load times, and enhanced navigation smoothness.

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