Airbnb for Work vs. dbt

It is great for those travelers looking for longer-term accommodations, such as greater than a week or a few weeks. For those staying for only a day or two, it can still be useful, but a hotel may be more appropriate for these kinds of stays. Moreover, many of our travelers like the ability to have a full apartment due to the nature of their stay or the length, and thus using this allows us this added flexibility in finding accommodations with this.

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The prerequisite is that you have a supported database/data warehouse and have already found a way to ingest your raw data. Then dbt is very well suited to manage your transformation logic if the people using it are familiar with SQL. If you want to benefit from bringing engineering practices to data, dbt is a great fit. It can bring CI/CD practices, version control, automated testing, documentation generation, etc. It is not so well suited if the people managing the transformation logic do not like to code (in SQL) but prefer graphical user interfaces.

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• Offer new ways to travel and connect
• Find homes and boutique hotels known for great hospitality and 5-star ratings from other business travelers.
• It has work ready places to stay
• It also brings teams together with experiences

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• dbt supports version control through GIT, this allows teams to collaborate and track the data transformation logic.
• dbt allows us to build data models which helps to break complex transformation logic into simple and smaller logic.
• dbt is completely based on SQL which allows data analyst and data engineers to build the transformation logic.
• dbt can be easily integrated with snowflake.

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• video support for virtual team experiences could be improved
• Perhaps a questionnaire or search feature to narrow down options for those unsure of what experience/trip they are thinking to go with

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• Field-level lineage (currently at table level)
• Documentation inheritance - if a field is documented the downstream field of the same name could inherit the doc info
• Adding python model support (in beta now)

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The user interface is very user friendly. It makes it easy to filter through the different options it has to offer based on price, location, and the scenery you as the customer would most prefer. This is an extremely helpful feature when there are so many choices to choose from

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dbt is very easy to use. Basically if you can write SQL, you will be able to use dbt to get what you need done. Of course more advanced users with more technical skills can do more things.

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Airbnb for Work is very useful for any city. Our practicality of staying where we want is excellent, it really helps us a lot and I'm sure it has already "saved" several people who made last minute reservations, just like me hahaha. We have other platforms that can also help us, but we have a certain preference for Airbnb.

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I actually don't know what the alternative to dbt is. I'm sure one must exist other than more 'roll your own' options like Apache Airflow, say, bu tin terms of super easy managed/cloud data transforms, dbt really does seem to be THE tool to use. It's $50/month per dev, BUT there's a FREE version for 1 dev seat with no read-only access for anyone else, so you can always start with that and then buy yourself a seat later.

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• It has helped our organization to save costs since one place can accommodate many co-workers rather than booking rooms for only two people where the team travels in a group.
• Better deals are available if you are regular customer
• Upgrade options are available which help save money rather than buying a premium suite

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• Simplified our BI layer for faster load times
• Increased the quality of data reaching our end users
• Makes complex transformations manageable

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Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info