Hi Maveryx,
Welcome to your very first Cloud Quest! This initiative is a thrilling journey into the world of the Alteryx Analytics Cloud, and we are kicking things off with a focus on Alteryx Designer Cloud. These new quests are not only tests of your skills but also opportunities to delve deeper into the practical uses of Designer Cloud in handling real-world data issues.
In the world of data processing, text files often include quotes, which are commonly used to manage strings. This can pose a unique challenge for extract, transform, and load (ETL) programs due to the presence of multiple character types.
In this quest, you have a CSV file containing two rows of concatenated data that include double quotes, single quotes, and commas, which enclose different data types. Use Designer Cloud to separate the data into three different columns: Poem, Poem ID, and Poem Read Date. Refer to the image below to see how your solution should look.
If you find yourself struggling with any of the tasks, feel free to explore these interactive lessons in Maveryx Academy for guidance:
Once you have completed this quest, capture a screenshot of your finalized workflow in Designer Cloud and attach the image of your solution to a comment on this post.
Here’s to a successful quest!
SOLUTION
I start my journey from today.
@gawa san
Yes. I notified those issue to the Alteryx support, but they said it depends on Japanese environment. And also they said that now the Designer Cloud supports only English environment.
By changing the language preference of my web browser to English, DateTime tool and DateTIme function correctly work.
Thanks @AkimasaKajitani
Looking forward to tackling all of these:
Hi all,
I used 1 more tool than most I noticed but I would def use this as a customer friendly solution
Voila