CoderRange - AI , Big data , Data Science !.

🧠 You use databases every day. But do you really know how they think, store, index, replicate, recover?

This meetup is your full-access pass into the internal organs of the world’s 3 most powerful databases. 💾

### ⚙️ Session 1: MySQL Internals Unlocked

> Learn how MySQL evolved from a simple relational engine to a high-performance transactional beast.

• Storage Engines: InnoDB vs MyISAM
• How B+ Trees power indexes
• Redo Logs, Undo Logs & Doublewrite Buffer
• Query Optimizer Tricks – EXPLAIN plan analysis
• ACID + MVCC (multi-version concurrency control)
• Replication: Binlogs, GTIDs, Semi-sync
• Partitioning, Sharding Strategies
• Common MySQL Bottlenecks (with Fixes!)

### 🧠 Session 2: PostgreSQL – The Architect’s Database

> Postgres is not just SQL, it’s object-relational power with engineering-grade control.

• Process-based architecture: Background workers, WAL writer
• WAL Logs (Write-Ahead Logging) and crash recovery
• Query Planning: Cost-based optimizer
• PostGIS, JSONB & Full-Text Search internals
• Extensions & Hooks (pg_partman, TimescaleDB, Citus)
• MVCC & Vacuuming Mechanism
• Horizontal scaling with logical replication

🛠 Live Demo: Show query planning cost comparison + visualize WAL logs

### 🧬 Session 3: MongoDB – Document Magic Internals

> From flexible schemas to replica sets, MongoDB hides powerful structures beneath its JSON-style simplicity.

• BSON Storage Format vs JSON
• Storage Engine: WiredTiger internals
• Journaling and Checkpointing
• Replica Set: Oplog, Elections, Failover
• Sharding Architecture with Query Router (mongos)
• Indexing: Compound, Geospatial, Text
• Aggregation Pipeline Optimizations

🛠 Live Demo: Trigger a failover in a local replica set + aggregation perf tip

### 💎 Bonus Sessions:

• ✅ Build Your Own Storage Engine (in Python/Go)
• 🔐 Security Internals: Roles, Row-level Security, Field-Level Encryption
• 📊 Performance Engineering: How to benchmark DBs like a pro
• 🔁 Database Observability: Query logs, audit trails, slow query analysis

### 🎁 What Meetup Attendees Get:

• 🧾 PDF: Coderrange DB Internals Cheatsheet
• 🧪 CLI Labs to simulate replication, crash recovery, and WAL logging
• 💡 Decision Guide: “Which DB for which use case?”
• GitHub link with mini DB internals demo repo
• Access to “Build Your Own Query Optimizer” workshop invite

### 🎯 Ideal for:

• Backend & Full-stack Devs
• Data Engineers & Architects
• DBAs and Curious Founders
• Anyone scaling microservices & data platforms

“Every CRUD operation has a story. Let’s decode it.”
Learn the real internals. Build better systems.

Join Zoom Meeting

Are you a Data Analyst with 2-8 years of experience craving the next-level skills to crack complex datasets, optimize pipelines, and deliver real-time business impact?
If yes, this meetup is your golden ticket!

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🎯 What we’re covering:
🚀 Extreme Real-Time Analytics & Data Internals

• Architecting lightning-fast data pipelines that don’t break under pressure
• Understanding streaming data platforms (Kafka, Spark Streaming) — beyond the basics
• Real-time anomaly detection, predictive analytics, and instant dashboards

📊 Advanced Data Modeling & Query Optimization

• Deep dive into SQL internals and performance tuning for massive datasets
• How to design scalable, maintainable data models for complex business scenarios
• Data warehouse vs. data lake vs. lakehouse: pros, cons, and use cases

🛠️ Tools & Techniques You’ll Love

• Leveraging Python & R for advanced stats and machine learning
• Automation hacks for ETL, data cleaning, and data quality checks
• Hands-on tips for using BI tools like Power BI, Tableau with real-time data

📈 What real employers expect from senior analysts

• Storytelling with data under extreme time constraints
• Cross-functional collaboration: influencing product and engineering with data
• From data wrangling to strategic decision-making: your complete playbook

Join Zoom Meeting

This agenda focuses on real-world coding challenges, face-to-face interview scenarios, system design problems, and practical issues encountered in product development.

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## 🧠 Agenda:

### 1. Coding Challenge: Implementing an LRU Cache (15 mins)

• Objective: Design and implement a Least Recently Used (LRU) cache using Java.
• Key Concepts: Data structures (HashMap, Doubly Linked List), algorithm optimization.
• Discussion Points:
• Time and space complexity analysis.
• Real-world applications of LRU caching.

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### 2. Face-to-Face Interview Simulation: Debugging a Spring Boot Application (25 mins)

• Scenario: You're presented with a Spring Boot application that fails to start due to a `BeanCreationException`.
• Tasks:
• Identify and resolve the issue.
• Discuss the root cause and preventive measures.
• Key Concepts: Spring Boot auto-configuration, dependency injection, application context

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### 3. System Design Session: Designing a URL Shortener Service (15 mins)

• Objective: Architect a scalable URL shortening service similar to Bitly.
• Discussion Points:
• Database schema design.
• API design and rate limiting.
• Handling high availability and fault tolerance.

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### 4. Real-World Product Issue: Handling High Traffic in a Spring Boot Application (25 mins)

• Scenario: Your Spring Boot application experiences performance degradation during peak hours.
• Tasks:
• Analyze potential bottlenecks.
• Implement solutions such as caching, database optimization, and asynchronous processing.
• Key Concepts: Application profiling, caching strategies, asynchronous processing.

5. Q&A and Interactive Discussion (30 mins)

• Open floor for attendees to ask questions, share experiences, and discuss challenges faced during interviews or in real-world projects.

Link::

Hey Developers! 👋
Are you stuck preparing for those tough FAANG-level coding interviews? Feeling overwhelmed by countless DSA problems and unsure which patterns really matter?
🎯 Join our FREE LIVE Meetup where we decode the Top 5 DSA Patterns every FAANG interviewer LOVES — so you can:

• Solve problems faster with a repeatable approach
• Impress interviewers with clear, optimized solutions
• Gain confidence to crack those rounds without stress
• Get exclusive tips and tricks from industry experts

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### What You’ll Learn:

1. Sliding Window Pattern – Handle subarrays and substring problems efficiently
2. Two Pointers Pattern – Master array and string traversal challenges
3. Fast & Slow Pointers – Detect cycles & middle elements like a pro
4. Divide and Conquer – Break big problems into smaller chunks
5. Dynamic Programming (Top-down + Bottom-up) – Solve overlapping subproblems with ease

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### Bonus Perks:

✅ Live Q&A to solve your toughest doubts
✅ Mock interview snippets + feedback
✅ Networking with 1000+ passionate developers
✅ Certificate of Participation for active attendees

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### Who Should Join?

• Developers with 2-4 years experience looking to jump to product-based companies
• Anyone struggling to organize their DSA prep
• Job seekers who want to level-up fast and nail those FAANG interviews

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### 🗓 Date: June 28th

### 📍 Location: [Online]

Link >>Join Zoom Meeting