1.5 KiB
1.5 KiB
This repo stores blog entries from the Lolamarket Engineering Blog.
Series:
- Prefect series
- How we use Prefect
- Our Prefect deployment
- Where Prefect shines
- Where Prefect doesn't shine
- How to organize flows
- DRY and our complementary toolbox
- Great Expectations series
- GE in Lolamarket
- Our deployment with AWS and Slack
- Data Contracts with backend
- Where GE shines
- Where GE doesn't shine
- Trino series
- Trino in Lolamarket
- Challenges we have faced with Trino
- Where Trino shines
- Where Trino doesn't shine
- Tips and tricks when working with Trino
- Differences between Trino SQL and MySQL SQL
- How our deployment looks like
- Looker series
- How we use Looker
- Migrating from Metabase to Looker
- Why Looker beats other visualization tools
- Challenges we have faced with Looker
- Interviewing series
- How we do interviews
- How to prepare for an interview
- Business-oriented series
- Year 2022 in numbers
- Airbyte series
- Airbyte in Lolamarket
- Deployment of Airbyte
- Where Airbyte shines
- Where Airbyte does not shine
ChatGPT context helper
A few things for you to take into account:
- I work as a Data Engineer.
- My company is called Lolamarket.
- This post will be published in the our tech and engineering blog.
- The purpose of the post is to show to the world how we use our technologies, hopefully impressing and seducing potential candidates for technical positions.
- I want to post to showcase a great technical skill and knowledge.