Presented by:

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Henrietta Dombrovskaya

Braviant Holdings

Henrietta Dombrovskaya is a database researcher and developer with over 35 years of academic and industrial experience. She holds a Ph.D. in Computer Science from the University of Saint Petersburg, Russia. At present she is

  • Associate Director of Databases at Braviant Holdings, Chicago IL
  • Local Organizer of the Chicago PostgreSQL User Group
  • Active community member, a frequent speaker at the PostgreSQL Conferences
  • A researcher focused on developing efficient interactions between applications and databases; publications include Proceedings of EDBT 2014 Athens, ICDE 2016 in Helsinki and SOFSEM 2020 Limassol
  • A winner of the “Technologist of the Year” 2019 award of the Illinois Technology Association

Álvaro is a passionate database and software developer. Founder and CEO of OnGres, an “ON postGRES” startup. Álvaro has been dedicated to PostgreSQL and R&D in databases since two decades ago.

Álvaro is at heart an open source advocate and developer. Well-known member of the PostgreSQL Community, he has founded the non-profit Fundación PostgreSQL and the Spanish PostgreSQL User Group.

You can find him frequently speaking at PostgreSQL, database, cloud, and Java conferences. Every year, Álvaro travels approximately three-four times around the globe—in 2020, he will hit the milestone of having delivered 100 tech talks.

AWS Data Hero (2019)

Website: aht.es.

With the right toolset, an impossible problem can become solvable, and with the right abstraction, the inscrutable comes within reach. Examples of these things are Calculus, Polar Coordinates, and the Rosetta Stone. Programming languages are a human construct made to solve a particular problem, but their true power comes from their faithfulness to higher mathematics.

I love SQL because it gives me the power to talk to virtually any datastore and I love Objects because they give me the ability to reason about any discrete thing. However, it is only within the union of Functional Programming, that both of them can live together in harmony; the promises of category theory ensure it.

This is exemplified by the Quill framework of which I am a maintainer, and that I have used to build traditional database applications, as well as formidable ETL and Big-Data pipelines for the Financial Sector.

2019 11 boris novikov square

Boris Novikov

National Research University "Higher School of Economics"

Boris Novikov is currently a professor, the Department of Informatics at National Research University Higher School of Economics in Saint Petersbirg. He graduated from Leningrad University (school of mathematics and mechanics) worked for Saint Petersburg university for several years and moved to the current position in Jan. 2019. Research interests are in a broad area of information management and include several aspects of design, development and tuning databases, applications, and database management systems, as well as distributed scalable systems for stream processing and analytics.

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Jeremy Smith

The Cornell Lab of Ornithology

I am an Applications Developer at the Macaulay Library, part of the Cornell Lab of Ornithology. This library houses the world’s premier scientific archive of natural history audio, video, and photographs. I work on databases and APIs for storing metadata about and searching through our collection. I have been an avid user of PostgreSQL for the past 12 years, attempting to straddle the line between database administrator and backend developer.

No video of the event yet, sorry!

There is no protection against bad queries. If a query is poorly written, it's execution can't be improved with any indexes, fast access path or other database advancements. What is the most common source of poorly written queries? Most of the time they do not come from humans; they are generated by applications that use ORMs to communicate with databases. What can we do to prevent it from happening? Is there any alternative? A number of researches and developers are already working on that problem. Let's come together and discuss our progress and challenges.

Date:
Duration:
50 min
Room:
Conference:
Postgres Conference 2020
Language:
Track:
Development
Difficulty:
Medium