Our previous meeting was on 8th December 2017. Our biggest thanks to TransferWise for providing big and cozy meeting place with very fine selection of snacks. We used available space well – third event was biggest so far with 58 people registering and 50 people actually attending. As very pleasant surprise, (IP address based) map of ticket sales showed that we actually having international event with some people attending from other countries.
Agenda was solid – our first speaker Hans-Jürgen Schönig from CYBERTEC used one of databases that he had to support just before presenting to us as inspiration for his talk: “Analyzing large data sets” (pdf). Take real world examples of “seemingly big data situations” that look very familiar. Combine them with actual effective solutions. Served with unique charm of Hans… I’d say that this talk was very interesting for everyone, irrelevant of actual PostgreSQL experience.
As communication and free form chatting is very important part of meetings we had extra-long break time. To made it even more entertaining, CYBERTEC did bring “cluster in a box” demo case showing how robust and easy failover can be with help of Patroni. (see about Patroni on first meeting, earlier this year (youtube). Break was also very tasty one, so I’d like to thank TransferWise once more, for being great host for the event.
On topic of food we continued with Federico Campoli, who achieved remarkable “First person to give more than one talk in pgug.ee”, presenting us with "PostgreSQL Carbonara" (gist). This tiny talk can be used as simple demo for planning and structuring data in PostgreSQL for beginners.
Last but not least, local PostgreSQL star Hannu Krosing gave really nice overview of PostgreSQL in NoSQL world. Good overview, going much deeper than other JSON/schemaless talks. Performance benchmarks and links to more details and useful tools yield something that is of interest also to more advanced database users. Whole talk was explained in simple, easy to understand language, which maybe will allow beginners to make educated decisions when it comes to data storage. As usual, I’d like to conclude with some links on what’s next: