computer science

Matei Zaharia

Matei Zaharia is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Matei Zaharia rather than just read about it. In short: Matei Zaharia (born 1984 or 1985) is a Romanian-Canadian computer scientist, educator and the creator of Apache Spark. In 2026, Forbes ranked him and Ion Stoica as the richest Romanians, with a net worth of $5 billion each.

Key takeaways

Matei Zaharia belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Matei Zaharia to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Matei Zaharia from memory before moving on to harder problems.

Reference excerpt

Matei Zaharia (born 1984 or 1985) is a Romanian-Canadian computer scientist, educator and the creator of Apache Spark. In 2026, Forbes ranked him and Ion Stoica as the richest Romanians, with a net worth of $5 billion each.

Biography Zaharia graduated from secondary school at Jarvis Collegiate Institute before moving to become an undergraduate at the University of Waterloo. Zaharia was a gold medalist at the International Collegiate Programming Contest, where his team University of Waterloo placed fourth in the world and first in North America in 2005. During his undergraduate degree at the University of Waterloo, he also greatly contributed to water rendering physics in the now open-source game 0 A.D. He also helped mod the Age of Mythology scenario called Norse Wars, which was re-adapted into the Age of Empires III scenario called Fort Wars. While at University of California, Berkeley's AMPLab in 2009, he created Apache Spark as a faster alternative to MapReduce. He received the 2014 ACM Doctoral Dissertation Award for his PhD research on large-scale computing. In 2013 Zaharia was one of the co-founders of Databricks where he is chief technology officer. He joined the faculty of MIT in 2015, and then became an assistant professor of computer science at Stanford University in 2016. In 2019, Zaharia received the Presidential Early Career Award for Scientists and Engineers. In 2019 he was spearheading MLflow at Databricks, while still teaching. In 2023, he joined the faculty of the University of California, Berkeley as an associate professor. Zaharia received the 2025 ACM Prize in Computing for his foundational contributions to data and machine learning systems.

See also List of University of Waterloo people Dominant resource fairness

References

External links [1] at UC Berkeley Chinese translation of his PhD Dissertation by CSDN community, January 2015 Matei Zaharia publications indexed by Google Scholar

Illustrations

Worked examples

Example 1 — a first encounter with Matei Zaharia

Start with the simplest possible case. Write down what Matei Zaharia claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Matei Zaharia before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Matei Zaharia ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Matei Zaharia

In research: Matei Zaharia appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Matei Zaharia in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Matei Zaharia is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1980s births, Canadian computer scientists, Canadian people of Romanian descent, so understanding it makes those chapters shorter.
In everyday life: Look for Matei Zaharia outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Matei Zaharia” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Matei Zaharia in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Matei Zaharia means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Matei Zaharia out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Matei Zaharia in simple terms?

Why does Matei Zaharia matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Matei Zaharia?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Matei Zaharia.