#Software Architecture Interview Questions | Explore Tumblr posts and blogs

oodlesplatform · 8 days ago

Text

The Ultimate Guide to Hiring Django Developers in 2025

If you’re building a scalable, secure, and high-performing web application in 2025, Django remains one of the best frameworks to use. But to unlock its full potential, you need to hire Django developers who understand how to use this Python-based framework to meet your business goals.

Why Choose Django in 2025?

Django is still a top choice for web development in 2025 due to:

Rapid Development: Built-in admin panel, ORM, and modular architecture

Scalability: Used by companies like Instagram, Spotify, and NASA

Security: Protection against XSS, CSRF, and SQL injections

Community Support: A mature and well-documented ecosystem

When Should You Hire a Django Developer?

You should hire Django developers if:

You need to build a custom web application or CMS

You’re planning a secure eCommerce site

You require API development for mobile/web apps

You want a high-performance MVP or startup product

You need a secure backend for SaaS or enterprise software

Key Skills to Look For

Before hiring, make sure the Django developer is skilled in:

Python programming

Django framework (ORM, views, forms, templates)

REST APIs (DRF — Django REST Framework)

Front-end integration (HTML, CSS, JavaScript, React/Angular)

Database systems (PostgreSQL, MySQL, SQLite)

Version control (Git)

Deployment (Docker, AWS, CI/CD)

Hiring Options: Freelancer vs Agency

Option Pros ConsFreelancer Cost-effective, flexible Limited availability, may lack team supportAgency (like Oodles)Scalable, full-stack team, support & QASlightly higher cost

If you want a full-cycle development solution with guaranteed timelines and post-launch support, hiring through an agency is ideal.

Interview Questions to Ask

Here are a few practical questions you can ask during the interview:

What’s the difference between a Django model and a Django form?

How would you handle user authentication in Django?

Explain the role of middleware in Django.

What are signals in Django and when should you use them?

How do you optimize Django for performance?

How Much Does It Cost to Hire Django Developers in 2025?

Freelancers: $20 — $60/hour (based on location & experience)

Agencies: $25 — $100/hour (comes with project managers, QA, and design support)

Dedicated Developer (Full-Time): $2000 — $6000/month

Outsourcing to countries like India gives you access to highly skilled developers at lower cost without compromising quality.

Where to Find Django Developers?

Freelance Platforms: Upwork, Freelancer, Toptal

Developer Marketplaces: Turing, Arc, Gun.io

Agencies: Oodles — Hire Django Developer

Job Boards: StackOverflow, GitHub Jobs, Remote OK

✅ Final Thoughts

Hire Django developers in 2025 is about more than just technical skills. You need someone who understands your business vision, works well with your team, and builds secure, scalable web applications with future growth in mind.

Whether you’re launching a new product, upgrading your tech stack, or expanding your backend, make sure you hire a Django developer who brings value from day one.

Looking to hire Django experts? Partner with Oodles for experienced Django developers who deliver quality, speed, and security.

0 notes

saifawaisi3211 · 9 days ago

Text

Website Development and Design in Bangalore: Hello Errors' Creative Edge for Modern Businesses

In a fast-paced digital economy, your website is often the first impression — and sometimes the only chance — to win over a customer. For businesses in India’s tech capital, having a modern, responsive, and high-performing website is no longer optional. That’s where the demand for website development and design in Bangalore continues to soar.

As more companies pivot online, the focus is shifting from just building websites to creating digital experiences. Businesses want websites that convert, not just exist. At the forefront of this movement is Hello Errors, a Bangalore-based company helping brands reinvent their digital presence with fresh, future-ready solutions.

The Evolution of Web Design in Bangalore’s Digital Ecosystem

Bangalore, known globally for its software prowess, is now home to thousands of startups and enterprises embracing digital transformation. Over the past few years, website development and design in Bangalore has moved from being code-centric to user-first.

Companies no longer settle for static pages. They want:

Design systems that scale

Interactive components for engagement

Mobile-first layouts that deliver across all devices

SEO-built foundations to boost visibility

Bangalore’s businesses are smarter, their users more demanding — and Hello Errors thrives at this intersection.

What Makes Hello Errors Different?

At Hello Errors, we believe the true value of a website lies in how well it communicates, converts, and grows with your business. Our web design philosophy goes beyond visuals — we focus on building digital assets that deliver results.

💡 Design Thinking + Development Logic

Every Hello Errors project begins with user empathy and business analysis. We ask the right questions:

Who is your target audience?

What journey should your users take?

What visual elements reflect your brand personality?

How can SEO and UX work together from day one?

This design-meets-strategy approach sets us apart in the website development and design in Bangalore space.

🔍 Search Engine Optimization from the Ground Up

Many developers treat SEO as an afterthought. We bake it into the development process — from clean URL structures and schema markup to core web vitals and mobile-first design.

With Hello Errors, you're not just getting a beautiful website — you're getting a site that's ready to rank, engage, and convert.

Website Development and Design in Bangalore: The Hello Errors Process

What does working with Hello Errors look like? Here's our approach:

1. Discovery & Goal Mapping

We kick off with stakeholder interviews and competitive analysis to align on KPIs.

2. User Experience (UX) Flow Planning

From sitemap to wireframes, we structure the entire user journey for maximum engagement.

3. Interface Design (UI)

We bring your brand to life with bold visuals, typography, animations, and interaction design.

4. Development

Using the best tech stack (React, Next.js, WordPress, etc.), we code performance-first websites optimized for responsiveness and security.

5. SEO Optimization

We conduct keyword mapping, set up meta-data, and ensure technical SEO best practices — all tailored to website development and design in Bangalore.

6. Launch & Post-Launch Support

From browser testing to server setup, we provide end-to-end assistance. We also offer ongoing maintenance and CRO (Conversion Rate Optimization).

Unique Features Offered by Hello Errors

In a saturated market, Hello Errors continues to lead with innovation and attention to detail. Here are some lesser-known — but powerful — features we offer:

⚙️ Modular Design Architecture

We build websites with reusable components, making it easy to scale or change without full redevelopment.

📈 Heatmap & Analytics Integration

Want to know how users interact with your site? We integrate tools like Hotjar and Google Analytics 4 for smarter decision-making.

🧩 Third-Party App Integrations

Need CRM, payment gateways, chatbots, or custom APIs? We ensure seamless integration with your tech stack.

🎯 Goal-Based Landing Pages

We don’t just build full websites — we create high-converting, SEO-friendly landing pages for specific campaigns.

Why Businesses Trust Hello Errors for Website Development and Design in Bangalore

Let’s face it — there are hundreds of agencies in Bangalore. But not all deliver with consistency, quality, or transparency. Hello Errors has built its reputation by:

Offering fixed-price clarity — no hidden costs or surprises

Maintaining strict project timelines with milestone tracking

Providing dedicated project managers for communication

Staying agile and adaptive to feedback and market trends

Whether you're a startup looking for your first online presence or an established brand aiming to revamp your digital identity, Hello Errors brings creative flair and technical depth to every engagement.

Local Roots, Global Standards

Our team works out of Bangalore, but we serve clients globally. This gives us a unique edge:

We understand local SEO and the regional user mindset

We are fluent in global design trends and accessibility standards

We ensure compliance with privacy laws like GDPR, wherever needed

Being rooted in Bangalore gives us a deep understanding of what Indian businesses — especially startups — need to succeed online.

The Future of Website Development and Design in Bangalore

The future is interactive, fast, and smart. Websites of tomorrow will be:

Built as progressive web apps (PWA)

Enhanced by AI-driven personalization

Designed using neurodesign and behavioral science

Hello Errors is investing in all of the above to remain ahead of the curve — and keep your business ahead of the competition.

Final Thoughts: Let Hello Errors Build Your Digital Future

In conclusion, if you're looking for website development and design in Bangalore that’s creative, scalable, SEO-optimized, and built for real results — Hello Errors is the name you can trust.

From web development and UI/UX to SEO and app integration, we are the end-to-end digital partner that helps your business stand out, grow fast, and stay relevant in the online space.

📢 Want a Consultation?

📞 Call us today or drop an inquiry on our website to kickstart your digital transformation. 📧 Let Hello Errors help you create a website that not only works but wins.

📌 SEO Keywords Used:

Website development and design in Bangalore (naturally used throughout the post)

#WebsiteDevelopment #HelloErrors #WebDesignBangalore #BangaloreTech #UXDesign #DigitalMarketing #SEOWebsites #WebsiteDesignIndia #ResponsiveDesign

0 notes

jcmarchi · 15 days ago

Text

Soham Mazumdar, Co-Founder & CEO of WisdomAI – Interview Series

New Post has been published on https://thedigitalinsider.com/soham-mazumdar-co-founder-ceo-of-wisdomai-interview-series/

Soham Mazumdar, Co-Founder & CEO of WisdomAI – Interview Series

Soham Mazumdar is the Co-Founder and CEO of WisdomAI, a company at the forefront of AI-driven solutions. Prior to founding WisdomAI in 2023, he was Co-Founder and Chief Architect at Rubrik, where he played a key role in scaling the company over a 9-year period. Soham previously held engineering leadership roles at Facebook and Google, where he contributed to core search infrastructure and was recognized with the Google Founder’s Award. He also co-founded Tagtile, a mobile loyalty platform acquired by Facebook. With two decades of experience in software architecture and AI innovation, Soham is a seasoned entrepreneur and technologist based in the San Francisco Bay Area.

WisdomAI is an AI-native business intelligence platform that helps enterprises access real-time, accurate insights by integrating structured and unstructured data through its proprietary “Knowledge Fabric.” The platform powers specialized AI agents that curate data context, answer business questions in natural language, and proactively surface trends or risks—without generating hallucinated content. Unlike traditional BI tools, WisdomAI uses generative AI strictly for query generation, ensuring high accuracy and reliability. It integrates with existing data ecosystems and supports enterprise-grade security, with early adoption by major firms like Cisco and ConocoPhillips.

You co-founded Rubrik and helped scale it into a major enterprise success. What inspired you to leave in 2023 and build WisdomAI—and was there a particular moment that clarified this new direction?

The enterprise data inefficiency problem was staring me right in the face. During my time at Rubrik, I witnessed firsthand how Fortune 500 companies were drowning in data but starving for insights. Even with all the infrastructure we built, less than 20% of enterprise users actually had the right access and know-how to use data effectively in their daily work. It was a massive, systemic problem that no one was really solving.

I’m also a builder by nature – you can see it in my path from Google to Tagtile to Rubrik and now WisdomAI. I get energized by taking on fundamental challenges and building solutions from the ground up. After helping scale Rubrik to enterprise success, I felt that entrepreneurial pull again to tackle something equally ambitious.

Last but not least, the AI opportunity was impossible to ignore. By 2023, it became clear that AI could finally bridge that gap between data availability and data usability. The timing felt perfect to build something that could democratize data insights for every enterprise user, not just the technical few.

The moment of clarity came when I realized we could combine everything I’d learned about enterprise data infrastructure at Rubrik with the transformative potential of AI to solve this fundamental inefficiency problem.

WisdomAI introduces a “Knowledge Fabric” and a suite of AI agents. Can you break down how this system works together to move beyond traditional BI dashboards?

We’ve built an agentic data insights platform that works with data where it is – structured, unstructured, and even “dirty” data. Rather than asking analytics teams to run reports, business managers can directly ask questions and drill into details. Our platform can be trained on any data warehousing system by analyzing query logs.

Unlike conventional tools designed primarily for analysts, our conversational interface empowers business users to get answers directly, while our multi-agent architecture enables complex queries across diverse data systems.

You’ve emphasized that WisdomAI avoids hallucinations by separating GenAI from answer generation. Can you explain how your system uses GenAI differently—and why that matters for enterprise trust?

Our AI-Ready Context Model trains on the organization’s data to create a universal context understanding that answers questions with high semantic accuracy while maintaining data privacy and governance. Furthermore, we use generative AI to formulate well-scoped queries that allow us to extract data from the different systems, as opposed to feeding raw data into the LLMs. This is crucial for addressing hallucination and safety concerns with LLMs.

You coined the term “Agentic Data Insights Platform.” How is agentic intelligence different from traditional analytics tools or even standard LLM-based assistants?

Traditional BI stacks slow decision-making because every question has to fight its way through disconnected data silos and a relay team of specialists. When a chief revenue officer needs to know how to close the quarter, the answer typically passes through half a dozen hands—analysts wrangling CRM extracts, data engineers stitching files together, and dashboard builders refreshing reports—turning a simple query into a multi-day project.

Our platform breaks down those silos and puts the full depth of data one keystroke away, so the CRO can drill from headline metrics all the way to row-level detail in seconds.

No waiting in the analyst queue, no predefined dashboards that can’t keep up with new questions—just true self-service insights delivered at the speed the business moves.

How do you ensure WisdomAI adapts to the unique data vocabulary and structure of each enterprise? What role does human input play in refining the Knowledge Fabric?

Working with data where and how it is – that’s essentially the holy grail for enterprise business intelligence. Traditional systems aren’t built to handle unstructured data or “dirty” data with typos and errors. When information exists across varied sources – databases, documents, telemetry data – organizations struggle to integrate this information cohesively.

Without capabilities to handle these diverse data types, valuable context remains isolated in separate systems. Our platform can be trained on any data warehousing system by analyzing query logs, allowing it to adapt to each organization’s unique data vocabulary and structure.

You’ve described WisdomAI’s development process as ‘vibe coding’—building product experiences directly in code first, then iterating through real-world use. What advantages has this approach given you compared to traditional product design?

“Vibe coding” is a significant shift in how software is built where developers leverage the power of AI tools to generate code simply by describing the desired functionality in natural language. It’s like an intelligent assistant that does what you want the software to do, and it writes the code for you. This dramatically reduces the manual effort and time traditionally required for coding.

For years, the creation of digital products has largely followed a familiar script: meticulously plan the product and UX design, then execute the development, and iterate based on feedback. The logic was clear because investing in design upfront minimizes costly rework during the more expensive and time-consuming development phase. But what happens when the cost and time to execute that development drastically shrinks? This capability flips the traditional development sequence on its head. Suddenly, developers can start building functional software based on a high-level understanding of the requirements, even before detailed product and UX designs are finalized.

With the speed of AI code generation, the effort involved in creating exhaustive upfront designs can, in certain contexts, become relatively more time-consuming than getting a basic, functional version of the software up and running. The new paradigm in the world of vibe coding becomes: execute (code with AI), then adapt (design and refine).

This approach allows for incredibly early user validation of the core concepts. Imagine getting feedback on the actual functionality of a feature before investing heavily in detailed visual designs. This can lead to more user-centric designs, as the design process is directly informed by how users interact with a tangible product.

At WisdomAI, we actively embrace AI code generation. We’ve found that by embracing rapid initial development, we can quickly test core functionalities and gather invaluable user feedback early in the process, live on the product. This allows our design team to then focus on refining the user experience and visual design based on real-world usage, leading to more effective and user-loved products, faster.

From sales and marketing to manufacturing and customer success, WisdomAI targets a wide spectrum of business use cases. Which verticals have seen the fastest adoption—and what use cases have surprised you in their impact?

We’ve seen transformative results with multiple customers. For F500 oil and gas company, ConocoPhillips, drilling engineers and operators now use our platform to query complex well data directly in natural language. Before WisdomAI, these engineers needed technical help for even basic operational questions about well status or job performance. Now they can instantly access this information while simultaneously comparing against best practices in their drilling manuals—all through the same conversational interface. They evaluated numerous AI vendors in a six-month process, and our solution delivered a 50% accuracy improvement over the closest competitor.

At a hyper growth Cyber Security company Descope, WisdomAI is used as a virtual data analyst for Sales and Finance. We reduced report creation time from 2-3 days to just 2-3 hours—a 90% decrease. This transformed their weekly sales meetings from data-gathering exercises to strategy sessions focused on actionable insights. As their CRO notes, “Wisdom AI brings data to my fingertips. It really democratizes the data, bringing me the power to go answer questions and move on with my day, rather than define your question, wait for somebody to build that answer, and then get it in 5 days.” This ability to make data-driven decisions with unprecedented speed has been particularly crucial for a fast-growing company in the competitive identity management market.

A practical example: A chief revenue officer asks, “How am I going to close my quarter?” Our platform immediately offers a list of pending deals to focus on, along with information on what’s delaying each one – such as specific questions customers are waiting to have answered. This happens with five keystrokes instead of five specialists and days of delay.

Many companies today are overloaded with dashboards, reports, and siloed tools. What are the most common misconceptions enterprises have about business intelligence today?

Organizations sit on troves of information yet struggle to leverage this data for quick decision-making. The challenge isn’t just about having data, but working with it in its natural state – which often includes “dirty” data not cleaned of typos or errors. Companies invest heavily in infrastructure but face bottlenecks with rigid dashboards, poor data hygiene, and siloed information. Most enterprises need specialized teams to run reports, creating significant delays when business leaders need answers quickly. The interface where people consume data remains outdated despite advancements in cloud data engines and data science.

Do you view WisdomAI as augmenting or eventually replacing existing BI tools like Tableau or Looker? How do you fit into the broader enterprise data stack?

We’re compatible with major cloud data services like Snowflake, Microsoft Fabric, Google’s BigQuery, Amazon’s Redshift, Databricks, and Postgres and also just document formats like excel, PDF, powerpoint etc. Our approach transforms the interface where people consume data, which has remained outdated despite advancements in cloud data engines and data science.

Looking ahead, where do you see WisdomAI in five years—and how do you see the concept of “agentic intelligence” evolving across the enterprise landscape?

The future of analytics is moving from specialist-driven reports to self-service intelligence accessible to everyone. BI tools have been around for 20+ years, but adoption hasn’t even reached 20% of company employees. Meanwhile, in just twelve months, 60% of workplace users adopted ChatGPT, many using it for data analysis. This dramatic difference shows the potential for conversational interfaces to increase adoption.

We’re seeing a fundamental shift where all employees can directly interrogate data without technical skills. The future will combine the computational power of AI with natural human interaction, allowing insights to find users proactively rather than requiring them to hunt through dashboards.

Thank you for the great interview, readers who wish to learn more should visit WisdomAI.

0 notes

charlotteharrington01 · 17 days ago

Text

What to Bring to a Job Interview: Checklist & Prep Tips in 2025 | UniAthena

Preparing for a job interview can feel like gearing up for a big performance. You’ve practiced your lines, reviewed common interview questions and answers, researched your audience, and now it’s time to show up with confidence—and the right materials. Whether you’re a fresh graduate or a seasoned professional, knowing what to bring to a job interview is essential to leave a lasting impression.

Must-Have Items to Bring for a Successful Job Interview

Before heading out the door, make sure these items are in your bag. This checklist doesn’t just answer the question, “What should I bring to a job interview?”—it prepares you to stand out.

Hard Copies of Your Resume

Yes, even in the digital age! Bring multiple printed copies of your resume. You never know how many interviewers will be in the room. Use quality paper, and keep them in a neat folder to avoid creases. Also, save a soft copy on your phone or email for quick access.

Academic and Professional Certificates

If your resume mentions certifications, carry proof. Whether it’s your degree, a training certificate, or proof of a short course from UniAthena, having them on hand shows you're well-prepared.

Portfolio of Work

If you’re in a creative or technical field—think graphic design, writing, architecture, or software development—a portfolio is your golden ticket. Bring printed examples or have a tablet/laptop ready to showcase your work.

Supporting Documents

Print out your cover letter, recommendation letters, experience certificates, and any documentation that reinforces your credentials. Better to be over-prepared than under-equipped.

Reference List

A professional reference list can make a difference. Include full names, job titles, company names, email addresses, phone numbers, and a brief context for each reference.

Interview Location and Contact Info

Save the address and contact details of your interview venue offline. Google Maps and ride-share apps might fail you if your phone dies or signal drops.

Valid ID Card

Security might ask for identification before granting access to the premises. Be sure to carry a valid government-issued ID or driver’s license.

List of Questions to Ask

Don’t just prepare interview questions and answers—be ready with questions of your own. Asking insightful questions shows real interest and helps you decide if the company is a good fit for you.

Water Bottle and a Small Snack

It might be a long day—hydration and a light snack can keep you energized and alert.

Confidence and a Positive Attitude

It’s intangible but powerful. You were invited to the interview because they recognized your potential. Enter with confidence, smile warmly, and let your positive energy speak for itself.

Bonus Tips to Boost Your Interview Game

Dress smartly: Wear something slightly more formal than the company’s dress code. Clean, ironed clothes, polished shoes, and neat grooming go a long way.

Body language counts: A firm handshake, steady eye contact, and good posture show you're professional.

Bring Essential Stationery: A pen and notebook can come in handy for note-taking or quick sketches.

Know the Company: Do your homework. Learn about their values, recent projects, and industry standing.

Back-Up Documents Digitally: Store all important files in Google Drive or Dropbox. Need to forward something on the spot? You’re covered.

How To Use ChatGPT for an Interview Preparation

Interview nerves? Meet your digital coach—ChatGPT. Here’s a simple guide on How To Use ChatGPT For an Interview Preparation to boost your confidence and sharpen your skills before the big day.

Mock Interviews: Practice real-time interview questions with ChatGPT acting as your interviewer.

Customized Question Lists: Get tailored question suggestions for your industry and role.

Feedback and Improvement: Record your answers, then ask ChatGPT for feedback on tone, clarity, and relevance.

Behavioral Questions: Learn how to structure responses using the STAR method (Situation, Task, Action, Result).

Pair these AI-powered practices with industry knowledge from UniAthena's Online Short Courses to strengthen your subject matter expertise before the big day.

Preparing for Job Interviews in the Democratic Republic of the Congo

If you're job hunting in the Democratic Republic of the Congo, a few local considerations can help you shine:

Language Preparedness: Interviews may be conducted in French, Lingala, or English. Practice accordingly.

Sector-Specific Skills: Many roles, especially in mining, energy, and NGOs, require niche skills. Upskill with online certifications like those from UniAthena’s Online Short Courses to boost your CV.

Cultural Etiquette: Punctuality is crucial. Arriving early reflects respect. Also, dressing modestly and formally is recommended.

Tech Access: Download directions and documents in advance, in case of internet disruptions. Carry a charged power bank if needed.

Conclusion

Acing an interview isn’t just about answering questions well—it’s about preparation, professionalism, and presence. With this list of Essential Items to Bring, your tips for your job interview preparation, and support from tools like ChatGPT and learning platforms like UniAthena, you’re setting yourself up for success.

Want to dive deeper into how AI can supercharge your interview practice? Explore our guide on how to use ChatGPT for interview preparation.

Good luck—you’ve got this!

0 notes

joicebert · 19 days ago

Video

vimeo

Forensic Architecture: Mapping is Power from Louisiana Channel on Vimeo.

“The truth is in the error.” Meet the head of Forensic Architecture, Eyal Weizman, in this fascinating in-depth interview about his work and the potential of architecture as a critical tool for understanding the world.

“Since I remember myself, I have wanted to be an architect.” Eyal Weizman grew up in Haifa, Israel, and from early on developed an understanding of “the political significance of architecture”:

“I could see the way that neighbourhoods were organized. I could see the separation. I could see the frontier areas between the Palestinian community and the Jewish majority.”

Forensic Architecture is far from a traditional architectural company. It is a multidisciplinary research group investigating human rights violations, including violence committed by states, police forces, militaries, and corporations. It includes not only architects but also artists, software developers, journalists, lawyers and animators. Working with grassroots activists, international NGOs and media organisations, the team carries out investigations on behalf of people affected by political conflict, police brutality, border regimes and environmental violence. Forensic Architecture uses architectural tools and methods to conduct spatial and architectural analysis of particular incidents in the broadest possible sense. Visualising and rendering in 3D, they not only reconstruct a space but also document what happened in it. “People mistake architecture to be about building buildings. Architecture is not that. Architecture is the movements and the relations that are enabled by the way you open, close and channel functions, people, and movements within that. The minute that you understand that architecture is about the incident, about the event, about social relations that happen within it, it enables you to understand social relations and events in a much better way. In fact, in a very unique way”, says Eyal Weizman.

Forensic Architecture gives a voice to materials, structures and people by translating and disseminating the evidence of the crimes committed against them, telling their stories in images and sound. When an incident of violence and its witnessing are spatially analysed, they acquire visual form. Accordingly, Forensic Architecture is also an aesthetic practice studying how space is sensitised to the events that take place within it. The investigation and representation of testimony depend on how an event is perceived, documented and presented.

“There is a principle of Forensic investigation called the “look hard principal” – and it claims that every contact leaves a trace. Because many of the crimes that Forensic Architecture is looking at today happen within cities, happen within buildings, architecture becomes the medium that conserves those traces.”

Unlike established forms of crime and conflict investigation, Forensic Architecture employs several unconventional and unique methods to shed light on events based on the spaces where they took place. They also invest much attention in mapping and understanding concepts like witness, testimony and evidence, and their interrelations. Witness testimony, which sits at the centre of human rights discourse, can be more than viva voce, oral testimony in a court. Any material, like leaves, dust and bricks, can bear witness.

Forensic Architecture investigates and gives a voice to material evidence by using open-source data analysed using cutting-edge methods partly of their own design. Using 3D models, they facilitate memory recollection from witnesses who have experienced traumatic events. The objective is to reconstruct the ‘space’ in which the incident in question took place and then re-enact the relevant events within this constructed model. The most important sources tend to be public: social media, blogs, government websites, satellite data sources, news sites and so on. Working with images, data, and testimony and making their results available online while exhibiting select cases in galleries and museums, Forensic Architecture brings its investigations into a new kind of courtroom. “Our work is about care. It is about attention. It is about developing and augmenting the capacity to notice, to register those traces. But that’s not all. Then we need to connect them – one trace to the other. In that sense, our work is like a detective. We look at the past in order to transform the future.” Eyal Weizman was interviewed by Marc-Christoph Wagner at Forensic Architecture’s studio in London in April 2022.

Camera: Kyle Stevenson Edited by: Jarl Therkelsen Kaldan Produced by: Marc-Christoph Wagner Copyright: Louisiana Channel, Louisiana Museum of Modern Art, 2022

Louisiana Channel is supported by Den A.P. Møllerske Støttefond, Ny Carlsbergfondet, C.L. Davids Fond og Samling and Fritz Hansen.

0 notes

tutortacademy · 29 days ago

Text

System Design for Tech Interviews in 2025

When it comes to landing top-tier technical roles in 2025, system design interviews are no longer optional—they are a standard, crucial part of the interview process. Whether you're aiming to be a Software Engineer, Engineering Manager, Staff Engineer, or Technical Program Manager, system design is often the deciding factor between candidates who merely write good code and those who can architect scalable, reliable, and maintainable systems.

This article is for anyone—whether you're switching from a development background, looking to scale up to a senior role, or targeting full stack or backend-heavy jobs. Let’s break everything down from the ground up.

TL;DR:

System design is a must for mid and senior tech roles in 2025.

Learn the basics: scalability, availability, databases, queues, caching.

Use a structured approach: clarify, sketch, deep-dive, optimize.

Practice real-world problems and focus on trade-offs.

Leverage courses and peer support to grow faster.

Why System Design Interviews Matter Today

Companies expect engineers not just to write clean code, but also to make smart architectural decisions. Think about building platforms like Instagram, Uber, or Netflix. It’s not just about knowing Python or JavaScript—it’s about understanding how to handle millions of users, store billions of rows of data, keep things secure, and make sure services don't go down.

That’s where system design comes in.

Roles where system design is critical:

Full Stack Developers (Mid and Senior)

Backend Engineers

Technical Leads

Staff and Principal Engineers

Technical Program Managers

Engineering Managers and Directors

Whether you're interviewing at a startup or a FAANG company, if the role involves owning large components or leading a team, system design rounds will be part of your interview process.

What a System Design Interview Involves

System design interviews are typically 60–90-minute discussions where you're asked to design an end-to-end architecture for a real-world system. But it’s not about memorizing one right solution—it’s about how you:

Understand requirements (both functional and non-functional)

Break down big problems into manageable components

Justify the trade-offs in your choices

Communicate and think like an architect

Common questions asked in system design interviews:

Design a URL shortener like TinyURL

Design a scalable chat app like WhatsApp

Design a ride-hailing platform like Uber

Design a Netflix-style video streaming service

Design a newsfeed system like Facebook or Twitter

How to Prepare for System Design Interviews in 2025

Let’s walk through a structured plan to prepare, especially if you’re new or feel underconfident about this round.

Step 1: Strengthen Your Fundamentals

Before jumping into mock interviews, get your basics right:

Load Balancers – How do they distribute traffic?

Caching – When and how to use Redis, Memcached, etc.

Databases – SQL vs NoSQL, sharding, replication

Queues – Why use Kafka or RabbitMQ?

Scaling Patterns – Vertical vs horizontal scaling

CAP Theorem – Tradeoffs between consistency, availability, partition tolerance

If you’re enrolled in a System Design Course Online, these topics are usually broken down in a beginner-friendly format with visuals and real-world examples.

Step 2: Follow a Structured Framework

When asked to design a system, break it down step-by-step. This shows clarity and maturity.

Clarify Requirements – Don't jump to solutions. Understand scope first.

Define API Contracts – Define user actions and system responses.

Sketch High-Level Architecture – Think services, databases, APIs.

Deep-Dive into Components – Explain how each part works (auth, storage, feed).

Address Bottlenecks – Where can things go wrong? What are your trade-offs?

Summarize Design – Review everything, address future scaling or optimization.

Practicing this structure in mock interviews or study groups—especially with peers from a Full Stack Developer Course in Hyderabad or similar programs—can be incredibly helpful.

Step 3: Practice with Real-World Scenarios

Practice questions that reflect systems seen in modern SaaS or consumer platforms. Focus on:

Handling millions of users

Ensuring low-latency performance

Managing data replication and consistency

Dealing with real-time features like notifications or location updates

Resources like Grokking the System Design Interview or YouTube videos from experienced engineers can be valuable. But don’t just watch—draw, design, discuss.

Why Structured Courses Can Help

If you’re switching from a purely coding or frontend background, courses give you a structured path, mentorship, and accountability. For example:

1. System Design Course Online

Learn at your own pace

Real-world case studies

Weekly assignments to reinforce learning

2. Full Stack Developer Course in Hyderabad

Hands-on experience building systems

Projects that simulate interviews

Exposure to backend, database, deployment—everything you’d need for design interviews

Investing in the right learning path not only boosts your chances in interviews but also helps you perform well in the role once you land it.

System Design Interviews Today: What Companies Expect in 2025

Hiring teams are evolving. In 2025, many companies have dedicated rounds for system design, especially from SDE-2 level onwards. Here’s what they’re specifically looking for:

Product thinking: Do you understand how users interact with the system?

Scalability trade-offs: Are you choosing the right tools and models?

Communication: Can you explain your ideas clearly to teammates or stakeholders?

For technical program managers and senior roles, these rounds can include architecture review scenarios, where you're asked to improve an existing design or identify bottlenecks.

You Don't Have to Be Perfect, Just Prepared

If you’ve ever been intimidated by system design, you’re not alone. It’s abstract, open-ended, and different from coding rounds. But with the right approach, consistent practice, and a learning environment that supports you—you can absolutely crack it.

If you’re already preparing through a System Design Course Online or even a Full Stack Developer Course in Hyderabad, keep going. You’re building long-term engineering maturity.

If you haven’t started yet—now is a great time. These rounds aren’t going away, and mastering them can unlock 10x better roles, salaries, and career growth.

#System Design

0 notes

mounianjali · 1 month ago

Text

Oracle C2M Online Training with the aid of Proexcellency – Learn from Industry Experts

Oracle C2M Online Training In the evolving landscape of application offerings, virtual transformation is now not optional—it's vital. Among the main systems riding this transformation is Oracle C2M (Customer to Meter), an advanced application answer that combines Customer Care and Billing (CC&B) and Meter Data Management (MDM) into one unified gadget. As application carriers global embrace this effective technology, the demand for skilled Oracle C2M specialists is soaring. If you are looking to break into or develop inside this niche area, Proexcellency’s Oracle C2M Online Training offers the perfect launchpad.

Why Oracle C2M?

Oracle C2M is designed for application groups trying to streamline operations, improve customer service, and control good sized volumes of meter statistics efficiently. It lets in companies to consolidate more than one structures, lowering complexity and growing operational performance. As clever meters and smart grid technologies grow to be the brand new general, Oracle C2M will be the industry-desired answer.

For professionals, this represents a golden opportunity. By studying Oracle C2M, you function yourself at the vanguard of innovation inside the utility sector—a space wherein understanding is in excessive call for and nicely-compensated.

Why Choose Proexcellency for Oracle C2M Training?

Proexcellency Solutions is a relied on call in professional IT and ERP schooling, acknowledged for its deep enterprise connections and expert-led courses. Our Oracle C2M Online Training is constructed to provide both theoretical expertise and real-international realistic skills.

Key Features of Our Training:

Expert Instructors: Learn from experts with palms-on experience in Oracle C2M implementations throughout global utility tasks.

Live Interactive Sessions: Engage without delay with running shoes, ask questions, and take part in discussions that reflect real enterprise eventualities.

Comprehensive Curriculum: Covering the whole lot from Oracle Utilities Application Framework (OUAF) basics to superior configuration, integration, and batch processing.

Real-Time Project Scenarios: Gain self belief through practical exposure to real consumer use instances and challenge paintings.

Flexible Learning Mode: Access classes on-line from anywhere within the world. Recorded classes are available to revisit classes at your convenience.

Job Assistance: We guide you with resume preparation, mock interviews, and process referrals, helping you transition from learner to operating expert seamlessly.

Who Can Benefit?

Fresh Graduates: Looking to build a career within the utility or ERP area

IT Professionals: Wanting to upskill or transfer to Oracle C2M roles

Oracle CC&B or MDM Users: Seeking to broaden their competencies within the C2M framework

Consultants & Analysts: Needing purposeful or technical expertise in software solutions

No earlier experience in Oracle Utilities is needed. Our step-by-step approach makes it clean for beginners to research, whilst skilled experts can deepen their understanding with advanced modules.

Course Modules Include:

Introduction to Oracle Utilities and C2M Architecture

Understanding OUAF (Oracle Utilities Application Framework)

Customer and Meter Data Models

Batch Jobs and Algorithms

Service Orders and Billing Process

Integration Between CC&B and MDM

Hands-on Training with Real-Time Project Use Cases

By the give up of the training, you’ll be able to navigate the C2M surroundings with a bit of luck, enforce answers, and remedy actual-time demanding situations confronted by way of software agencies.

Why Now Is the Right Time to Learn Oracle C2M

With global electricity markets moving toward smart utilities and regulatory compliance becoming increasingly more complex, Oracle C2M adoption is growing rapidly. Companies are actively hiring experts and builders who recognize the device internal out. This is your opportunity to put your self as a licensed, professional expert in a spot area with limited competition.

Conclusion

Oracle C2M Online Training by Proexcellency is more than just a direction—it’s a career accelerator. With our enterprise-professional trainers, project-based learning, and quit-to-stop support, we make certain that you’re no longer simply skilled—you’re job-equipped.

Whether you’re a more energizing in search of a breakthrough or a expert aiming for your next large possibility, Proexcellency Solutions is your depended on associate in profession achievement.

[email protected], +91-9148251978,+91-9008906809

0 notes

hiringjournal · 1 month ago

Text

Common Mistakes to Avoid When Hiring a NoSQL Engineer

Many tech businesses are switching from traditional relational databases to NoSQL solutions due to the rise of big data and real-time applications. Employing the correct engineer may make or break your data architecture, regardless of whether you're utilizing Couchbase, Redis, Cassandra, or MongoDB. Many teams still make mistakes in the hiring process.

Here are the most typical blunders to steer clear of—and what to do instead—if you intend to hire NoSQL engineers.

Smart Hiring Starts with Clear Expectations and the Right Evaluation Strategy

Focusing only on tool familiarity

It's simple to believe that understanding a particular NoSQL database, such as MongoDB or DynamoDB, is sufficient. However, true proficiency extends beyond syntax. Data modelling, consistency trade-offs, segmentation, and indexing across many systems are all things that a competent NoSQL developer should be aware of.

Ask them how they would create a schema for your use case or deal with scalability issues in a distributed setting rather than just what technologies they have used.

Overlooking use case alignment

NoSQL databases are not all made equal. Some excel in document storage or graph traversal, while others are excellent for quick key-value access. Make sure the NoSQL engineers you hire have experience with the kind of system your project requires.

For instance, employing someone with solely batch-oriented system experience could lead to problems later on if your product needs real-time analytics. Match their experience to your business objectives and architecture.

Ignoring performance optimization skills

NoSQL engineering includes a significant amount of performance-under-load design. However, a lot of interviews don't evaluate a candidate's ability to locate and address bottlenecks.

Seek out engineers who can explain sharding, replication, cache techniques, and query profiling. As your data grows, they are the abilities that keep systems operating quickly and consistently.

Not testing problem-solving skills

Because NoSQL systems frequently lack the rigid structure of SQL-based ones, their designs may be more complex. Asking abstract questions or concentrating solely on theory is a mistake that many tech companies make.

Present real-world examples instead. How would they transfer SQL data to NoSQL? In a dispersed setting, how would they manage conflicting records? This aids in identifying real-world, practical experience.

Relying only on resumes or generic platforms

Resumes frequently fail to convey a person's collaborative or thought processes. Make sure the IT recruitment platform you're utilizing has resources that assist you to evaluate real skill rather than just job titles, such as technical tests, project portfolios, or references.

You have a higher chance of hiring NoSQL developers with proven abilities if you use platforms that are specifically designed for data-centric roles.

Not considering cross-functional collaboration

NoSQL developers frequently collaborate with analysts, DevOps, and backend teams. They should be able to convert data requirements into scalable solutions and connect with various stakeholders.

Make sure your NoSQL hire knows how to expose and format data for downstream analytics if your company intends to hire data scientists in the future.

Closing Speech

There is more to hiring a NoSQL developer than simply crossing off a list of technologies. Finding someone who can accurately model data, address performance problems, and adjust to changing business requirements is the key.

It's crucial for software organizations that deal with big, flexible data systems to steer clear of these common blunders. Take your time, make use of the appropriate resources, such as a reliable IT recruitment platform, and ensure that the individual you choose is capable of more than just writing queries; they should be able to help you develop your long-term data strategy.

#hire NoSQL engineer #IT recruitment platform #Hire data scientists

0 notes

some-programming-pearls · 1 year ago

Text

How java achieves platform independence?

To understand the above concept, first of all let us know what exactly do we mean by platform. Platform A platform is a hardware or software environment in which a program runs. In general, it can be described as a combination of operating system and the underlying hardware. Some of the most popular platforms are Windows, Mac, Linux etc., A java platform differs from most other platforms in that…

View On WordPress

#Advanced Interview Questions #interview #interview questions #Interview Success Tips #Interview Tips #Java #java Interview #Job Interview #Job Interview Tips #killer interview #Senior Developer #Software Architects #Software Architecture Interview Questions #Techie-Saint #Technical interviews #toughest interview questions

0 notes

blogpostkinddom · 2 months ago

Text

Coding Tests and Pre-Employment Assessments: Why They Matter More Than Ever in Tech Hiring

In today’s competitive tech job market, standing out as a developer requires more than just a polished résumé or a list of past employers. Hiring managers are placing increasing importance on coding tests and pre-employment assessments—tools that help companies make smarter, data-driven hiring decisions.

But what exactly are these assessments? How do they differ? And how can candidates and employers alike approach them to ensure the best fit?

Let’s break down the role of coding tests in modern pre-employment evaluations, why they’ve become essential, and how they’re shaping the future of technical hiring.

What Are Coding Tests?

At their core, coding tests are practical assessments designed to evaluate a candidate’s programming ability in real time. These tests typically include a range of problems that may touch on algorithms, data structures, logic puzzles, or real-world scenarios like debugging code or building a feature.

They vary in form:

Take-home assignments: Usually longer and more complex, giving the candidate time to demonstrate problem-solving in a realistic environment.

Live coding sessions: Conducted during interviews, often via platforms like CoderPad, CodeSignal, or HackerRank.

Automated tests: Graded by software based on correctness, efficiency, and style.

The goal isn’t just to test whether someone can code, but whether they can code well under realistic constraints.

How Coding Tests Fit Into Pre-Employment Assessments

Pre-employment assessments are a broader category of evaluations used to measure a candidate’s readiness for a role. In tech hiring, this typically includes:

Technical skills (via coding tests, system design challenges, or architecture reviews)

Cognitive ability (logic, numerical reasoning, critical thinking)

Soft skills (communication, collaboration, cultural fit)

Personality traits (grit, learning ability, adaptability)

Coding tests serve as the technical backbone of these assessments. They offer a direct line to one of the most important questions for any tech role: Can this person actually solve the kinds of problems they'll face on the job?

Why Are Employers Relying on These Tools?

There are a few key reasons why coding tests and pre-employment assessments have become critical:

1. Filtering at Scale

With remote work expanding the talent pool globally, companies are flooded with applicants. A pre-employment assessment, including a coding test, offers an objective way to filter and rank candidates based on skill—not just experience or education.

2. Eliminating Bias

Résumés can introduce unconscious bias. When recruiters see a prestigious university or a brand-name company, they may make assumptions about skill. Coding tests provide a level playing field, offering everyone the same challenge.

3. Predicting On-the-Job Success

Traditional interviews are notorious for being poor predictors of future performance. A well-designed assessment correlates better with how a candidate will actually perform in their role.

4. Saving Time and Money

The cost of a bad hire—especially in a technical role—is high. Pre-employment assessments help weed out poor fits early, reducing the chance of a mismatch and the associated costs of turnover.

Challenges with Coding Tests (and How to Solve Them)

While coding tests are powerful, they’re not without issues. If poorly implemented, they can frustrate candidates and even repel great talent.

Here are some common problems—and how to solve them:

1. Unrealistic Expectations

Tests that ask candidates to implement red-black trees or create a compiler from scratch may not reflect day-to-day work. The fix? Tailor problems to real scenarios your team actually faces.

2. Poor UX

Clunky platforms, unclear instructions, or time limits that don’t account for setup time can ruin the experience. Choose tools that are clean, well-documented, and candidate-friendly.

3. No Feedback

Candidates invest their time; they deserve to know how they did. Even if it’s automated scoring or a few lines of feedback, it builds goodwill and shows respect.

What Candidates Should Know About Coding Tests

If you’re a job seeker in tech, coding tests are something you can’t ignore. Here’s how to approach them wisely:

1. Practice Smart, Not Just Hard

Use platforms like LeetCode, HackerRank, or Codeforces to practice, but focus on patterns, not just memorizing solutions. Understand why a solution works.

2. Read the Job Description Carefully

If the role is backend-heavy, study system design, API integration, and DB queries. Frontend role? Brush up on JavaScript frameworks and performance optimizations.

3. Don’t Be Afraid to Ask Questions

If a test seems unreasonable or off-topic, ask for clarification. It shows initiative, and good companies won’t penalize you for seeking context.

4. Show Your Work

Comment your code, use clear variable names, and explain your logic where possible. Employers aren’t just looking for the right answer—they want to understand your process.

Best Practices for Employers Designing Coding Tests

Employers, here are a few tips to make your pre-employment assessments effective and fair:

Keep it relevant: Test for the role you’re hiring, not for general CS trivia.

Limit time appropriately: A good test shouldn’t take more than 60–90 minutes unless it’s a take-home project.

Automate where possible: Use platforms that grade submissions and highlight top performers.

Always debrief: After assessments, provide feedback and keep candidates in the loop.

The companies that do this well don’t just hire faster—they build a reputation for being thoughtful, efficient, and respectful of a candidate’s time.

The Future of Coding Tests and Pre-Employment Assessments

The landscape is evolving. With the rise of AI-assisted coding, some are questioning whether traditional coding tests still serve the same purpose. The answer? Yes—but they need to adapt.

Modern assessments are moving toward project-based evaluations, pair programming interviews, and even gamified testing environments that simulate real-world dev workflows.

We’re also seeing more emphasis on soft skills integration, especially in remote roles where collaboration, async communication, and time management matter just as much as coding chops.

In other words: coding tests aren’t going away—they’re just getting smarter.

Conclusion

In the world of tech hiring, coding tests and pre-employment assessments aren’t just gatekeepers—they’re valuable tools for both employers and candidates.

For companies, they provide a structured, fair, and data-backed way to identify top talent. For developers, they offer a platform to showcase their skills beyond what’s listed on a résumé.

When done right, they don’t just find better candidates—they help build better teams.

0 notes

krmangalam121 · 2 months ago

Text

B.Sc. in Data Science: Course Details, Eligibility Criteria & Syllabus

B.Sc. in Data Science is a 3-year undergraduate course designed for individuals who aspire to obtain insights from structured and unstructured data. K.R. Mangalam University has crafted this programme to teach candidates about statistics, machine learning and big data science. Students who have a strong programming background benefit from this course. Overall, the main objective is to develop familiar professionals who have extensive knowledge of the existing and advanced technological tools and are actively interested in carrying out investigation and synthesis with computer-oriented solutions.

Why Pursue a B.Sc. in Data Science at K.R. Mangalam University?

Over the years, K.R. Mangalam University has been recognised as the best university in Delhi NCR for B.Sc. in Data Science due to the following reasons:

Industry Experience: Top data science experts from the industry arrive at the university to guide the students about real-world case studies.

Rich Curriculum: Renowned industry experts and faculty members have teamed up together to develop detailed study modules.

Career Guidance: Students get to attend career counselling sessions and receive 100% placement assistance.

Well-Equipped Laboratories: KRMU boasts highly sophisticated laboratories which consist of cutting-edge apparatus and software.

B.Sc. Data Science Course Details

Students keen on pursuing a B.Sc in Data Science from K.R. Mangalam University must have a look course highlights below. This will give you a clear idea about the fee structure and other details associated with the course.

The B.Sc. (Hons.) Data Science is a full-time undergraduate programme with a duration of 3 years. To be eligible, candidates must have passed 10+2 or an equivalent examination from a recognised board with a minimum of 50% aggregate, with Mathematics, Computer Science, or Information Technology as a compulsory subject. The annual programme fee is ₹1,35,000 (as of 30th April 2025). This course equips students with analytical, statistical, and programming skills essential for data-driven decision-making. Graduates are well-prepared for roles in various industries, with top recruiters including Deloitte, IBM, Amazon, Accenture, The Times Group, and TATA Cliq Luxury.

B.Sc. Data Science Syllabus

There are various B.Sc. Data Science subjects that students need to pursue while studying this course at KRMU. Here are some of them.

Fundamentals of Web Technologies

Matlab Programming

Essentials of Data Science

Introduction to Discrete Structures

Introduction to Data Structures

Fundamentals of Machine Learning

Fundamentals of Algorithm Design & Analysis

Introduction to Database Management Systems

Computer Organisation and Architecture

B.Sc. Data Science Admission 2025

You need to be thorough with the admission procedure if you’re interested in pursuing this programme at K.R. Mangalam University in 2025. The admission procedure is as follows:

Visit www.krmangalam.edu.in to apply for a B.Sc. in Data Science course.

Fill up the application form.

Complete the payment procedure.

Sit for the KREE entrance test.

Go for the faculty-led interview.

If selected, you will receive the admission offer.

Enrol for B.Sc. in Data Science at KRMU.

Conclusion

Selecting an appropriate university for a B.Sc. in Data Science requires careful planning and consideration of multiple factors. Although, there are so many universities in Delhi-NCR, K.R. Mangalam University is still the most preferred option amongst all. With modern amenities, an extensive curriculum and state-of-the-art infrastructure, it has become an excellent choice for aspiring data scientists.

Frequently Asked Questions

What is the full form of a B.Sc in Data Science?

B.Sc in Data Science stands for Bachelor of Science in Data Science.

Why should I pursue a B.Sc in Data Science from K.R. Mangalam University?

KRMU is known for picking up the best talent and preparing them for the future-ready professional. Henceforth, it’s the best decision to pursue this course from here.

Can I study B.Sc in Data Science after the 12th?

Students looking forward to pursuing a career in data science can pursue this course after higher secondary school.

What kind of skills are required to pursue this programme?

You need to demonstrate strong analytical and problem-solving skills to succeed in this programme.

#B.Sc. Data Science Admission 2025 #bsc data science syllabus

1 note · View note

futuremarketreport · 2 months ago

Text

Neuromorphic Computing Market Expected to Witness a Sustainable Growth over 2025 | Global Market Vision

The neuromorphic computing market is experiencing rapid growth, driven by the increasing demand for energy-efficient and real-time AI processing across various industries. This technology, inspired by the human brain's architecture, enables machines to process information more efficiently, making it ideal for applications in robotics, healthcare, automotive, and consumer electronics.

Key trends shaping the market include the development of hybrid neuromorphic-conventional computing systems, advancements in edge AI and IoT, and the integration of neuromorphic computing with brain-computer interfaces. These innovations are expanding the potential applications of neuromorphic technology, from enhancing autonomous vehicle navigation to improving real-time data analysis in healthcare diagnostics.G

Get Full PDF Sample Copy of Report (Including Full TOC, List of Tables & Figures, Chart) @ https://futuremarketconsulting.com/request-sample/53610

Key Market Players:

Brain Corporation

CEA-Leti

General Vision Inc.

Hewlett Packard Enterprise Development LP

HRL Laboratories, LLC

IBM

Intel Corporation

Knowm Inc.

Cognixion

BrainChip, Inc.

MindMaze

SAMSUNG

Vicarious

Bitbrain Technologies

Qualcomm Technologies, Inc.

Others

By Component (Hardware, Software, Services)

By Deployment (Edge, Cloud)

By Application (Signal Processing, Image Processing, Data Processing, Object Detection, Others)

By End-Use (Consumer Electronics, Automotive, Healthcare, Military & Defense, Others)

Key Target Audience:

• Neuromorphic Computing manufacturers and other stakeholders

• Organizations, forums and alliances related to Neuromorphic Computing distribution

• Government bodies such as regulating authorities and policy makers

• Market research organizations and consulting companies

The study is useful in providing answers to several critical questions that are important for industry stakeholders such as Neuromorphic Computing manufacturers, customers and policy makers. The study would also help them to target the growing segments over the coming years, thereby aiding the stakeholders in taking investment decisions and facilitating their expansion.

The following are the major objectives of the study.

To define, describe, and forecast the global Neuromorphic Computing market size on the basis of grade, application, type, and region

To provide detailed information regarding the significant factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)

To analyze the opportunities in the market for stakeholders and details of a competitive landscape for market leaders

To forecast the market size, in terms of value and volume, with respect to five main regions, namely, North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa

To strategically profile key players and comprehensively analyze their market shares and core competencies

To track and analyze competitive developments such as joint ventures, mergers & acquisitions, new product developments, and research & developments (R&D) in the Neuromorphic Computing market

During this research study, major players operating in the Neuromorphic Computing market in various regions have been identified, and their offerings, regional presence, and distribution channels have been analyzed through in-depth discussions. Top-down and bottom-up approaches have been used to determine the overall market size. Sizes of the other individual markets have been estimated using the percentage splits obtained through secondary sources such as Hoovers, Bloomberg BusinessWeek, and Factiva, along with primary respondents. The entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews with industry experts such as CEOs, VPs, directors, and marketing executives for key insights (both qualitative and quantitative) pertaining to the market. The figure below shows the breakdown of the primaries on the basis of the company type, designation, and region considered during the research study.

Frequently asked questions

How much is the global Neuromorphic Computing market worth?

What was the value of the Neuromorphic Computing market in 2021?

At what CAGR is the Neuromorphic Computing market projected to grow in the forecast period (2022-2028)?

What is the leading segment in the market?

What is the key factor driving the market?

Which are the leading players in the market?

Which country held the highest market share in the market?

Which factors are expected to drive the adoption of the product?

Buy Exclusive Report @: https://futuremarketconsulting.com/buy-now/53610

NOTE: Our analysts monitoring the situation across the globe explains that the market will generate remunerative prospects for producers post the COVID-19 crisis. The report aims to provide an additional illustration of the latest scenario, economic slowdown, and COVID-19 impact on the overall industry.

Related Repots:

0 notes

newsshare · 2 months ago

Text

Revit Interview Questions and Expert Answers: The Ultimate Guide for 2025

If you’re preparing for a Revit interview—whether as a fresher, architect, BIM professional, or structural engineer—having a solid grasp of common questions and their best answers can set you apart. Revit, a powerful Building Information Modeling (BIM) software by Autodesk, is widely used across the architecture, engineering, and construction (AEC) industries.

This guide covers the most frequently asked Revit interview questions, categorized by experience level and role.

Basic Revit Interview Questions (For Beginners)

1. What is Revit? Answer: Revit is a BIM software developed by Autodesk for architects, structural engineers, MEP engineers, designers, and contractors. It enables users to design a building and structure and its components in 3D, annotate the model with 2D drafting elements, and access building information from the model’s database.

2. What are the key differences between CAD and Revit? Answer:

CAD is primarily 2D drawing-based.

Revit is 3D and BIM-focused.

CAD focuses on drawing lines and shapes, while Revit works with real-world elements like walls, windows, and doors.

Revit allows for data-driven workflows, which CAD does not.

3. What are families in Revit? Answer: Families are components used to build a model in Revit. They can be system families (walls, floors), loadable families (furniture, fixtures), or in-place families (custom components made for specific projects).

4. Explain the term 'Workset' in Revit. Answer: Worksets are a way to divide a Revit project into manageable pieces, especially for team collaboration. Each user can check out a workset and work on it independently.

Intermediate Revit Interview Questions

5. What is the difference between Instance and Type parameters? Answer:

Instance parameters affect a single component only.

Type parameters affect all components of that type in the project.

6. How do you manage collaboration in Revit? Answer: Through Revit Worksharing and tools like BIM 360, multiple users can work on the same project simultaneously. Worksets and syncing help coordinate changes.

7. How do you create a custom family in Revit? Answer:

Go to File > New > Family.

Choose an appropriate family template.

Model the geometry using tools in the Family Editor.

Define parameters and save/load the family into your project.

Advanced Revit Interview Questions

8. What is the purpose of View Templates in Revit? Answer: View templates standardize the appearance and visibility settings of views. They ensure consistency across multiple views and save time during documentation.

9. How does Revit handle phasing? Answer: Phasing allows users to manage construction stages (existing, demolition, new construction). Each element can be assigned to a specific phase, which is reflected in schedules and views.

10. What is the difference between linked and imported CAD files in Revit? Answer:

Linked CAD files are referenced into Revit and updated when the source changes.

Imported files are embedded directly and do not reflect source file changes.

Role-Specific Questions

For Architects: Q: How do you manage design options in Revit? Answer: Revit allows the use of design options to explore multiple design solutions within the same project. This is useful for client presentations and internal reviews.

For Structural Engineers: Q: How do you use Revit for structural analysis? Answer: Revit Structure can be used in conjunction with analysis tools like Robot Structural Analysis. Structural elements can be exported with analytical data for simulation.

For MEP Engineers: Q: What are systems in Revit MEP? Answer: Systems define logical connections between MEP components. For example, a duct system connects diffusers, ducts, and air handling units in one network.

Tips for Revit Interviews

Be prepared to demonstrate your skills live, often through a short modeling task.

Showcase your knowledge of BIM workflows, not just Revit as software.

Highlight any experience with collaboration tools like Autodesk BIM 360 or Navisworks.

Mention real-world projects you've contributed to.

Conclusion

Revit is more than just modeling—it's about smart collaboration, data management, and precision in design. Whether you're a beginner or an experienced user, being prepared for both technical and conceptual questions will help you succeed in any Revit interview.

#Revit Interview Questions #Revit Interviews

1 note · View note

web-codder · 2 months ago

Text

💼 The 5 Paid Subscriptions I Actually Use in 2025 as a Staff Software Engineer

Let’s be honest — subscription fatigue is real. With everything from newsletters to toothbrushes asking for a monthly fee, it’s easy to feel like your wallet is bleeding through a thousand microtransactions. 🩸 As a Staff Software Engineer with over a decade in the tech world, I’ve subscribed to more tools, apps, and services than I care to admit — many of which were just okay. But a few? Game-changers. 🚀 So today, I’m pulling back the curtain on the 5 paid subscriptions I actually use in 2025, and more importantly, why I keep paying for them month after month. These tools save me time, streamline my workflow, and even help with my mental clarity. Whether you're a junior developer climbing the ranks or already leading engineering teams, this list might just become your new productivity toolkit. 🧠 1. Raycast Pro – $8/month The spotlight replacement that runs my desktop. Raycast has been my go-to productivity launcher for a couple of years now, but in 2025, their Pro tier has completely won me over. Why I use it daily: Superfast file search 🔍 Snippets for code, email templates, and CLI commands AI-powered commands (built-in GPT-4 Turbo) Custom scripts (Python, JS, Bash – you name it) Deep integrations with GitHub, Jira, Notion, Linear, and more As a Staff Engineer, my day flips between code reviews, design docs, debugging, and mentoring. Raycast Pro brings everything under my fingertips, cutting through context switches like a hot knife through butter 🔪🧈. Favorite Feature: I built a custom Raycast command that fetches open PRs across my org and even summarizes them using GPT — talk about dev superpowers. ⚡ Verdict: ✅ Totally worth $8/month for power users. 🔗 https://raycast.com/ 📁 2. Notion Plus – $10/month My second brain for everything personal and professional. Some engineers live in Obsidian or Evernote — I’m a Notion evangelist. While the free version is excellent, the Plus plan unlocks the real magic if you're working with teams or building advanced systems. Why it’s essential: Personal and team wikis Engineering architecture docs Career journaling & 1:1 prep Goal tracking & habit dashboards AI assistant for writing & summarizing In 2025, Notion’s AI has gotten seriously good. I use it to refactor messy meeting notes, summarize long engineering retros, and even brainstorm architecture trade-offs before I put pen to paper. ✍️🧠 Pro Tip: I maintain a “Staff Engineer Hub” inside Notion that links to my project artifacts, strategy docs, incident postmortems, and mentorship logs — one of the best ways I track my impact across teams. Verdict: 💯 Can’t live without it. 🔗 https://www.notion.so/ 💬 3. ChatGPT Plus – $20/month Your always-available pair programmer, meeting assistant, and technical buddy. Look — I’m not just writing this because this article is hosted on ChatGPT. I genuinely use the Pro version of ChatGPT (powered by GPT-4 Turbo) every single day. And no, I don’t believe AI is replacing engineers — but it's definitely leveling us up. 🚀 Here’s how I use ChatGPT Plus: Break down unfamiliar codebases (especially in onboarding) Summarize technical design proposals Draft PR descriptions and commit messages Prototype scripts or utilities Brainstorm team strategy or OKRs Generate interview questions for hiring panels 2025's GPT-4 Turbo is blazing fast, context-aware, and can now access custom GPTs — I have one that simulates a “DevOps mentor” I can ask about AWS and Terraform at 2am 😅 Is it perfect? No. It occasionally hallucinates, and I always verify its output — but it's like having an insanely smart junior dev by your side at all times. Verdict: 🧠 If you write code, docs, or even just emails — it’s a must-have. 🔗 https://chat.openai.com/ 🧘 4. Headspace – $12.99/month Because engineers need mental health too. Let’s take a break from tech tools and talk about something more important: our minds. The transition to Staff Engineer isn’t just technical — it’s deeply human.

Between cross-functional communication, driving influence without authority, and mentoring others, I’ve had days where my brain felt like a 200-tab Chrome window. 🧠🔥 Headspace has helped me slow down, focus, and breathe. How I use it: Morning focus meditations before deep work sessions Sleepcasts after late-night deployments Anxiety relief exercises before big presentations 5-minute mini-breaks between back-to-back meetings I originally thought meditation apps were “woo-woo,” but after a particularly tough quarter, I gave it a shot. Three years later, I consider it part of my engineering toolkit. Verdict: 🧘‍♂️ It’s cheaper than therapy and sometimes just as effective. 🔗 https://www.headspace.com/ 📚 5. O’Reilly Learning Platform – $49/month (covered by work) Still the gold standard for deep, technical learning. We’ve all bought 200-page PDFs from obscure newsletters, but when I need reliable, deep, up-to-date technical knowledge, I go to O'Reilly. Why I love it: Full access to industry-standard books and videos Hands-on coding environments (for Rust, Go, Kubernetes, etc.) Live online training and certifications Sandboxes for AWS, GCP, and Azure Proven content from actual experts, not AI-generated fluff As a Staff Engineer, staying current matters. Whether I’m leading a system redesign or exploring a new architecture pattern (hello, event-driven microservices), O’Reilly is my go-to. Bonus: Most companies will reimburse or directly provide access to this platform. If yours doesn’t — ask for it during performance reviews or L&D discussions. Verdict: 📚 Essential for any serious technologist. 🔗 https://www.oreilly.com/ 💭 Honorable Mentions Here are a few other paid tools that didn’t make the top 5 but are still solid: 1Password Teams – $7.99/month: Best password manager for work & personal GitHub Copilot – $10/month: Useful, but I use ChatGPT more Grammarly Premium – $12/month: For PRs and tech blog clarity Linear (Pro) – $8/month: Fastest issue tracker in existence Tailscale – $10/month: Zero-config VPN and private networking 🎯 Final Thoughts: Don’t Pay for Tools — Pay for Leverage It’s easy to get distracted by the shiny new thing. But here’s my philosophy: "If a tool helps me think better, work faster, or sleep more peacefully — it's worth every penny." As a Staff Engineer, your job is no longer just about pushing code. It’s about scaling yourself: your knowledge, your influence, your communication, and your decision-making. The subscriptions I pay for help me do exactly that. So if you’re on the fence about paying $5, $10, or even $50 a month — ask yourself this: Would you pay that much for 5 extra hours of focused output? For a calmer mind? For better code? Because I would. And I do. 👋 Over to You! Are you a developer or tech lead with favorite tools that make your life easier? Drop a comment or DM me on LinkedIn — I’d love to trade tool stacks. 📲 Connect: https://www.linkedin.com/in/webcodder 📺 YouTube: https://www.youtube.com/@web_codder 📸 Instagram: https://www.instagram.com/web_codder_official

1 note · View note