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