Manychat Engineering

Do you remember how we spent a Saturday in May with UXEVN sharing experiences on product design and discussing all aspects of adaptivity? Yep, we’ve already forgotten about it too👀

Luckily, we’ve got a video report from the event, and now it’s on our YouTube channel🎥

Check it out✨

ManyChat x UXEVN Design Meetup ManyChat and the product design community UXEVN got together in Yerevan to discuss all aspects of adaptivity.Arina Mesnyankina, Product Designer, Manychat, t...

It’s time to share photos from HeyGrowth conference📸 We had a great time, gained a lot of insights, and met so many talented people.

Thank everyone who came up to our booth and participated in our activities. You are amazing💙

Special thanks to Artur Evstefeev, Slava Busarov, and all the colleagues who supported us at the conference.

Most of the data modeling problems are not problems anymore, they can be easily solved with the help of the modern data stack. Sounds good, but it seems like there should be something wrong with it. Usually, when we get rid of a number of difficulties, other problems come out right away.

Nikolay Golov, Head of Data Engineering at ManyChat, proposes to discuss do we really need Data modeling in the world of the Modern Data Stack today, what approach is better to use and who you should think about when you build an analytical platform.

Do we really need data modeling in the world of the modern data stack? I have 15 years of experience as a data engineer. In the beginning, I worked with classical OLTP databases, like MS SQL Server, PostgreSQL…