Grokking Database Fundamentals for Tech Interviews
Master database design, scaling, partitioning, and replicating to ace your tech interviews.
Course Overview
Welcome to **Grokking Database Fundamentals for Tech Interviews**—your gateway to mastering the art of designing, managing, and scaling modern database systems. From understanding the fundamentals of data storage to tackling distributed systems, data partitioning, replication strategies, and fault tolerance, this course equips you with everything you need to build reliable and efficient database solutions. Whether you're a software engineer, data architect, or aspiring backend developer, this course offers clear explanations, real-world examples, and practical insights to help you stand out in interviews. Let's dive in and start building your expertise in database engineering today!
What you'll learn in Grokking Database Fundamentals for Tech Interviews
- How a database actually stores your data: file organisation, page layout, compression, and encoding, which is the layer every performance question eventually reaches.
- ACID taken one letter at a time, with a lesson each on atomicity, consistency, isolation, and durability instead of the usual single paragraph.
- Partitioning and sharding, the partitioning types, and how a query gets processed once the data no longer lives on one machine.
- Consensus and leader election, the part of distributed databases most candidates can name and very few can explain.
- The NoSQL families and what each is for: key-value stores, document stores, column-family and wide-column stores, and graph databases.
- Indexing properly rather than as a slogan: single level indexes, tree-based indexes, hash-based indexes, and bloom filters, and what each one costs on write.
- Concurrency control in full: optimistic against pessimistic, lock-based, timestamp-based, and multiversion concurrency control, which is what Postgres and Oracle actually run.
- Replication topologies, the consistency models that follow from them, and the CAP theorem stated in a way you can actually apply.
- Fault tolerance and recovery: write-ahead logging, checkpointing, coordinated recovery, failover, and the redundancy and mirroring that sit underneath high availability.
- 51 quiz questions across 10 chapter quizzes, plus four full case studies designing the databases behind Quora, TikTok, Airbnb, and Snapchat.
Course Content
Introduction to Database Systems
Data Storage in DBMS
Indexing in DBMS
Transaction Management
Concurrency Control
Distributed Databases, Data Partitioning & Sharding
Data Replication and Consistency Models
Consensus and Leader Election
Recovery and Fault Tolerance in Distributed Databases
NoSQL Databases and New Data Models
Advanced Topics and Emerging Trends
Database Design Case Studies
What people say about our courses
About the Author
Arslan Ahmad
Industry Expertise & Leadership
Arslan Ahmad is the lead author of Grokking Database Fundamentals for Tech Interviews. As the founder of Design Gurus and a former FAANG hiring manager, he has worked at industry giants like Facebook (now Meta) and Microsoft.
He has conducted hundreds of system design interviews, giving him unique insight into what top tech companies look for in candidates.
The course also incorporates expertise from senior engineers at Google, Meta, Amazon, Microsoft, and Uber, ensuring you learn system design best practices from professionals who have built and scaled real-world systems.
500+
Interviews Conducted
10k+
Students Taught
Related Courses
$99.9
$98
FAQs
What is Grokking Database Fundamentals for Tech Interviews?
It is a course on how databases work underneath, aimed at the database questions that come up in coding, system design, and backend interviews. It runs from storage and indexing through transactions and concurrency control into the distributed side: partitioning, replication, consistency, consensus, and recovery, then finishes with four case studies designing real systems.
Who is this course for?
Backend, full stack, and data engineers preparing for interviews, and anyone whose system design answers keep stopping at "and then we put it in a database". It suits engineers who use an ORM daily and have never had to explain what an index costs on write, or why their read replica returned stale data.
How is this different from a SQL course?
A SQL course teaches you to write queries. This teaches you what happens when one runs, and what happens when the data outgrows a single machine. They are complementary: Grokking SQL for Tech Interviews handles the query round, and this one handles the design and depth questions that follow it.
What does it cover on the distributed side?
Distributed database fundamentals, partitioning and its types, sharding, distributed query processing, replication and replication topologies, consistency models, the CAP theorem, consensus algorithms, leader election, logging and checkpointing, coordinated recovery, and high availability through replication and failover. That is roughly half the course.
Does it cover NoSQL as well as relational databases?
Yes, with a chapter on the NoSQL families: key-value stores, document-oriented databases, column-family and wide-column stores, and graph databases. There is also a chapter on newer ground: in-memory databases, NewSQL, time-series and spatial databases, and distributed processing frameworks.
Are there quizzes?
Yes, 51 questions across 10 chapter quizzes. Most chapters end with one, which is deliberate for this material: databases are a subject where reading feels productive and recall turns out to be shallow, and a quiz at the chapter boundary is the cheapest way to find that out before an interviewer does.
What are the case studies?
Four systems designed end to end, taking the system design and the database design together rather than separately: Quora, TikTok, Airbnb, and Snapchat. They are where the earlier chapters get used, since each one forces choices about partitioning, replication, and consistency rather than describing them in the abstract.
Do I need database experience already?
No. The course opens with what a database is, its core components, the common architectures, and the relational against non-relational split, before anything harder. You should be able to read a simple query and know roughly what a table is, and that is enough.
Is the course text-based or video-based?
Text-based, with diagrams throughout and quizzes at the chapter boundaries. There is no code, because the material is about how a database behaves rather than about the syntax you use to talk to it.
Do I get a certificate of completion?
Yes. Design Gurus issues a certificate once you have completed the course, and you can share the link directly or add it to your LinkedIn profile.
