🔥 DSA & Coding Interview — Recommended Books
Preparing for FAANG / Product Company / Staff Engineer interviews?
Here are 10 useful resources covering DSA, algorithms, Java and interview problem-solving 👇
📚 Top DSA & Interview Books
1️⃣ The Interview Bible Most Engineers Swear By
👉 https://amzn.to/42JK3Ea
2️⃣ A Complete Guide to Mastering DSA & Algorithms
👉 https://amzn.to/4nIBMbN
3️⃣ How Top Engineers Actually Design Algorithms
👉 https://amzn.to/4gEp4Zh
4️⃣ The Go-To DSA Resource for Java Developers
👉 https://amzn.to/3IbOfWz
5️⃣ One Book That Simplifies Data Structures End-to-End
👉 https://amzn.to/42EuKfZ
6️⃣ Learn Algorithms Visually — Great for Beginners
👉 https://amzn.to/46isddP
7️⃣ The Best Starting Point for Dynamic Programming
👉 https://amzn.to/46sUKh3
8️⃣ The Gold Standard Algorithm Reference Used Worldwide
👉 https://amzn.to/46Pkkg2
9️⃣ Interview-Focused Problem Solving — Real Questions
👉 https://amzn.to/4pTBQrl
🔟 A No-Nonsense Guide to Cracking Programming Interviews
👉 https://amzn.to/4nK7XHJ
💡 Which one should you choose?
👶 Beginner → Start with #6
☕️ Java Developer → Start with #4
🧠 Algorithms/DSA → #2 or #8
💻 Interview preparation → #1 or #9
🔥 Dynamic Programming → #7
📌 Save this list if you're preparing for coding interviews.
Some links may be affiliate links, which means I may earn a small commission if you purchase through them, at no additional cost to you.

Those who were planning to buy educative subscription i think its a good time to buy it at good discount, so do take advantage of it.-
https://www.educative.io/unlimited?aff=xy8B

📚 A book worth reading if you build backend systems 👇

🧠 There's a difference between knowing Kafka and understanding distributed systems.

You can build APIs, configure Kafka consumers, and work with databases every day—but can you explain what happens when things go wrong?

→ Why doesn't Kafka automatically guarantee that your business operation happens only once?
→ Why can two database replicas disagree even when both are healthy?
→ Why can adding more servers make a system more expensive without fixing the real bottleneck?

These are the kinds of questions that separate writing backend code from understanding the systems behind it.

I've personally read part one of the original edition of a book that explores these concepts in depth. What makes it worth exploring is that it focuses on the reasoning behind data systems—not just the tools or frameworks.

There's now an updated second edition, too.

If you're working with Java, Spring Boot, Kafka, or microservices—or preparing for senior backend interviews—this is one resource I'd suggest looking into.

📘 Curious what the updated edition covers? Take a look here:
https://link.amazon/B0iadbjlH