🚀 Exciting news! I'm on a journey to build a game-changing school management software. Stay tuned for updates as I embark on this #SAAS adventure! #ProductDevelopment#EdTech
As a Backend dev , how many concepts can you explain from below :
1. Event-Driven Architecture
2. Saga Pattern
3. CQRS (Command Query Responsibility Segregation)
4. Event Sourcing
5. Circuit Breaker Pattern
6. Distributed Tracing
7. CAP Theorem
8. Idempotency
9. Data Sharding
10. API Gateway
2024 Complete Guide to Becoming a Data Scientist
1). Learn Data Science Basics.
- Understand the fundamentals of data science, including statistics, probability, linear algebra, calculus, programming (Python, R, or Scala), data manipulation, analysis, and data visualization.
"Remember, learning data science is a continuous process, and hands-on practice is crucial.
Start with the basics, gradually progress to more advanced topics, and always apply what you learn through practical projects."