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A Detailed Guide on Conducting Effective System Design Interviews

Hacker Earth Developers Blog

System design interviews are becoming increasingly popular, and important, as the digital systems we work with become more complex. The term ‘system’ here refers to any set of interdependent modules that work together for a common purpose. Uber, Instagram, and Twitter (now X) are all examples of ‘systems’.

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Building a Beautiful Data Lakehouse

CIO

Newer data lakes are highly scalable and can ingest structured and semi-structured data along with unstructured data like text, images, video, and audio. They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. Pulling it all together.

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What is SDLC (Software Development Life Cycle)?

Openxcell

You can think of SDLC Methodologies as tools that would help you in better delivery of software projects. Below are the sequential phases in the SDLC Waterfall Model: Requirement Gathering and Analysis: All the system’s possible requirements you want to develop are captured here and documented in a requirement specification document.

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The Case for PostgreSQL®

Instaclustr

If you’re in database administration, chances are you’ve faced an age-old question: is it better to become slightly proficient in lots of different database tools, or become very proficient in one tool that can do a bit of everything reasonably well? . That is, PostgreSQL is a vertical scalability model by design.

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Journey to Event Driven – Part 4: Four Pillars of Event Streaming Microservices

Confluent

The most challenging goal of any application architecture is simplicity, but it is possible to achieve. I’m going to explore four pillars for enabling scalable development that works across the event-driven enterprise. These pillars minimize complexity and provide foundational rules for building systems using composition.

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Grown-Up Lean

LeanEssays

They stunned the computer savvy world by suggesting that a redundant array of inexpensive disks promised “improvements of an order of magnitude in performance, reliability, power consumption, and scalability” over single large expensive disks. (In Berkley is a close neighbor of Stanford, where Google was born.