@Airbnb@Airbnb I booked an Airbnb house for my family for 5 nights. We trusted Airbnb.
But after the first night, the host arbitrarily forced us to leave — even threatened us — just because we complained about a few issues (e.g., a badly scratched Teflon pan). 😡
#AirbnbFail
Your pipeline succeeded. Your data is still broken. 🤔
Green checkmarks in Airflow mean nothing to the analyst / data scientist staring at a dashboard that hasn't updated since yesterday. Or to the ML model serving recommendations based on old user data
https://t.co/Du0qvm4pVI
@Airbnb@Airbnb I booked an Airbnb house for my family for 5 nights. We trusted Airbnb.
But after the first night, the host arbitrarily forced us to leave — even threatened us — just because we complained about a few issues (e.g., a badly scratched Teflon pan). 😡
#AirbnbFail
@Airbnb@AirbnbHelp Families like ours trust platforms like Airbnb with our safety, comfort, and money.
But when things go wrong, the support system fails.
Hosts shouldn’t be allowed to arbitrarily cancel and threaten guests — and guests shouldn’t have to pay the price for a host’s misconduct.
@Airbnb@AirbnbHelp Families like ours trust platforms like Airbnb with our safety, comfort, and money.
But when things go wrong, the support system fails.
Hosts shouldn’t be allowed to arbitrarily cancel and threaten guests — and guests shouldn’t have to pay the price for a host’s misconduct.
Imagine arriving with your kids, unpacking everything, settling in and suddenly, after ONE night, being kicked out without reason.
We had to find another place last minute, paying an high price because it was peak season.
It was total chaos and a traumatic experience for us. 💔
@Airbnb@Airbnb I booked an Airbnb house for my family for 5 nights. We trusted Airbnb.
But after the first night, the host arbitrarily forced us to leave — even threatened us — just because we complained about a few issues (e.g., a badly scratched Teflon pan). 😡
#AirbnbFail
People often resist change unless the new way of doing something appears to be clearly better. But to implement strategy effectively, leaders should do the opposite: Don’t hesitate to move forward with change unless the old way is clearly better. https://t.co/vwksBNXUjX
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Building a scalable data pipeline is essential for managing and analyzing large amounts of data. Here are 10 best practices for designing a pipeline that can grow with your organization. #datapipeline#datascience#bigdata#DataAnalytics#DataOps
By following these best practices, you can design and implement a scalable data pipeline that meets your organization's growing data needs. Start small, iterate often, and stay up to date with the latest technologies to stay ahead of the curve. #dataengineering#scalablepipeline