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computer science

Peter Boncz

Peter Boncz 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 Peter Boncz rather than just read about it. In short: Peter Boncz is a Dutch computer scientist specializing in database systems. He is a researcher at the Centrum Wiskunde & Informatica and professor at the Vrije Universiteit Amsterdam in the special chair of Large-Scale Analytical Data Management.

Peter Boncz — main illustration
Peter Boncz — illustration

Key takeaways

  • Peter Boncz 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 Peter Boncz to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Peter Boncz from memory before moving on to harder problems.

Reference excerpt

Peter Boncz is a Dutch computer scientist specializing in database systems. He is a researcher at the Centrum Wiskunde & Informatica and professor at the Vrije Universiteit Amsterdam in the special chair of Large-Scale Analytical Data Management. He is a pioneer and expert in the area of high performance, analytical database systems. As part of his PhD work, he designed MonetDB, one of the first relational column database systems. MonetDB is widely influential in the design of commercial analytical database systems and in recognition the team received 10-year Best Paper Award at VLDB 2009. In 2004 he started the MonetDB/X100 research project, aiming to significantly improve the performance of MonetDB via vectorized processing. This research project led to a commercial spin-off VectorWise. Boncz's research in database technologies created multiple spin-off companies. Data Distilleries (1996-2003) focused on developing data mining software and used MonetDB as its backend. Data Distilleries was acquired by SPSS in 2003. MonetDB BV (2008-present) provides consulting and support service for MonetDB users. Vectorwise (2008-2010) commercialized the X100 research project and was acquired by Actian in 2010. As Fellow at the Technical University of Munich he was also involved in the spin-off around the Hyper database system, that is now part of the Tableau analytics tool. Boncz was named to the 2022 class of ACM Fellows, "for contributions to the design of columnar, main-memory, and vectorized database systems". In 2019, Boncz' Database Architectures group members Hannes Mühleisen and Mark Raasveldt launched a new Column-oriented DBMS named DuckDB, which incorporates ideas from MonetDB, VectorWise and Hyper. Its performance and ease-of use rapidly gained it popularity, and this spawned the spin-off company DuckDB Labs (2021) that employs the core team, and later MotherDuck (2022). The latter aims at putting DuckDB in the cloud using the concept of "hybrid query processing" in which both client and server contain a DuckDB processor. Boncz spent his 2023-2024 sabbatical at MotherDuck.

References

External links Website at CWI

Illustrations

Peter Boncz illustration

Worked examples

Example 1 — a first encounter with Peter Boncz

Start with the simplest possible case. Write down what Peter Boncz 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 Peter Boncz 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 Peter Boncz 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 Peter Boncz

In research
Peter Boncz 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 Peter Boncz 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
Peter Boncz is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century Dutch scientists, Academic staff of the University of Amsterdam, Computer scientist stubs, so understanding it makes those chapters shorter.
In everyday life
Look for Peter Boncz 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.

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How to study Peter Boncz in 20 minutes

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

Frequently asked questions

What is Peter Boncz in simple terms?

Peter Boncz is a Dutch computer scientist specializing in database systems. He is a researcher at the Centrum Wiskunde & Informatica and professor at the Vrije Universiteit Amsterdam in the special chair of Large-Scale Analytical Data Management.

Why does Peter Boncz 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 Peter Boncz?

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 Peter Boncz.

Tags

  • 21st-century Dutch scientists
  • Academic staff of the University of Amsterdam
  • Computer scientist stubs
  • Database researchers
  • Dutch computer scientists
  • Fellows of the Association for Computing Machinery
  • Living people
  • Scientists from Amsterdam
  • University of Amsterdam alumni

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