Intro to Foundry Pipeline Builder

  Рет қаралды 9,448

Ontologize

Ontologize

Күн бұрын

Пікірлер: 18
@MicahPickus-l1v
@MicahPickus-l1v 2 ай бұрын
This is such a helpful, clear, and concise overview. Great for people without a huge tech or software background to understand how this kind of stuff works.Thank you!
@dkfresh6656
@dkfresh6656 Жыл бұрын
So glad I found this channel. I recently started learning how to develop apps palantir and just learned about pipeline. Thankful you created this video. Not alot of resources out there! looking forward to more videos related to palantir app development!
@ontologize
@ontologize Жыл бұрын
Thanks! I'm glad you found it useful. Feel free to make specific requests for the public tutorial series here: www.ontologize.com/contact
@rubenvf9772
@rubenvf9772 17 күн бұрын
Great vidoe! thanks for doing it.
@Heyvyner
@Heyvyner Жыл бұрын
Thnaks for sharing! Really informative
@ontologize
@ontologize Жыл бұрын
Glad it was helpful!
@nafiulhaque5585
@nafiulhaque5585 Жыл бұрын
Very good clean and clear instructions. I would love to learn from your self-paced course. I want to know how to create a new column with an 'if statement', and I want to know more about 'Join', and more transformations in at least 1 end to end project, that data from the pipeline I could use for building a dashboard in Tableau. How can I get access to that? Appreciate your response. Thanks
@ZJessica-p1g
@ZJessica-p1g Жыл бұрын
Very helpful tutorial !!! Looking for more on code repositories !!
@thiorofall8751
@thiorofall8751 8 ай бұрын
Many thank you! Best tutorial for Data Pipeline!
@mattreed656
@mattreed656 Жыл бұрын
Great tutorial. Clear, concise and great production quality. How long would this work have taken you if you didn't have access to a platform like Palantir and tool like Pipeline Builder? Thanks!
@ontologize
@ontologize Жыл бұрын
Frankly, I was skeptical when Pipeline Builder first came out because the history of no-code tools for things like data pipelining is, at best, mixed. However, I've been very pleasantly surprised. It gives you the speed of writing SQL with the expressiveness of writing Python (within limits -- e.g. can't manipulate raw files unless you modify dataset schemas). All that said, the real speed of any particular tool in Foundry is more "organizational" than "individual". Meaning, some tools are faster for my particular workflows than external tools; some are slower. But getting something into production and maintaining it when it's there is almost always way, way faster with Foundry.
@mattreed656
@mattreed656 Жыл бұрын
@@ontologize very cool. Thanks for the detailed response. Looking forward to future videos. I don’t use Foundry where I work but hope to in the future.
@GG-uz8us
@GG-uz8us 9 ай бұрын
Super helpful!!! Thanks for the effort!
@midwestcannabis
@midwestcannabis Жыл бұрын
🎉🎉🎉🎉🎉🥳🥳🥳✌️✌️✌️
@MitchellButler-zn6lg
@MitchellButler-zn6lg 2 ай бұрын
Foundry have shut down Preparation, how do you get pipeline builder to clean the data like you could in Preparation
@ratotinha
@ratotinha 3 ай бұрын
Hello, where can I find the Data Engineering with Pipeline Builder tutorial please? Thanks :)
@JeanetteGearheart
@JeanetteGearheart 3 ай бұрын
Every time I try to cast to a date, the whole thing shows up as null - What should I do? And I can't remove a "/" Out of a format of 10//17//2024 - I just need the format to be yyyy-MM-dd
@ontologize
@ontologize 3 ай бұрын
Let's break this down in more abstract steps. It seems like you've got a date represented as a string and there may be some extra characters in there. I would first replace the extra characters with whatever you want. In this case it might be replacing double forward slashes with a single forward slash. Then I would cast the resulting string to a date. You can figure out the correct format for that by using the violet "Generate" button -- just give it an example and it will insert the correct pattern. In your case I think the pattern is M/d/yyyy You could also skip the first step and give it the correct pattern to deal with the strings that contain extra characters. In the case of double forward slashes I think it would simply be M//d//yyyy.
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