This site is about a previous instance of this event. For the current event, please see the updated site.

Speaker Interview with Aya Iwata

Could you briefly introduce yourself?
My name is Aya Iwata. I live in Kobe, Japan and work as a software developer for almost 4 years. I like coding and eating pizza. If you know the delicious restaurant pizza, please tell me.
How do you engage with the PostgreSQL Community?
I have been developing PostgreSQL since 2016 and also worked as a steering committee member in PGConf.ASIA 2018 in Japan. In PostgreSQL development, I've worked on client features, including community and extensions such as Npgsql and PgJDBC.
Have you enjoyed previous pgconf.eu or FOSDEM conferences, either as an attendee or as speaker?
Not yet. This is my first time. So I am looking forward to attend pgconf.eu as a speaker.
What will your talk be about, exactly? Why this topic?
My talk is about data compression in PostgreSQL. First, I will introduce features that can be used in current PostgreSQL. Second, I will introduce under development features in the community, too. Finally, I will explain an implementation of the row format compression feature I want to propose PostgreSQL.
There are two purposes of this topic. One is to introduce the users to PostgreSQL compression features. Other one is to seek advice on the proposed implementation.
What is the audience for your talk?
Anyone who is interested in compression features in current PostgreSQL and those who would like to develop compression features further.
What existing knowledge should the attendee have?
No special prerequisite knowledge is required.
I will talk about the structure of the page, so if you read the "68.6. Database Page Layout" item in the PostgreSQL document, it would be easier to understand.
What is the one feature in PostgreSQL 12 which you like most?
Pluggable storage interface (Table access methods).
Which other talk at this year's conference would you like to see?
Which measure, action, feature or activity would—in your eyes—help to accelerate the adoption of PostgreSQL?
Scale out features.