2024-Data Lake -Data Warehouse

[subahini]

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[carinaschrenk]

Creative Rewrite Result of Group 1 (Salman, Fabian, Philippe, Arita and Carina)

My data isn’t organized? It doesn’t matter! (Version A Philippe)

In the data world, sometimes chaos reigns—and that's okay!
Imagine a wild party where all data is invited and anything goes.
No rules, no structure—just raw, chaotic fun!
But when you need order, you turn to the neat freak friend who organizes everything perfectly.
Both approaches have their perks: flexibility for creativity, structure for focus.
It's like having a messy desk for brainstorming and a tidy one for getting work done.
In data terms, think data lakes for the wild party and data warehouses for the organized friend.

My data isn’t organized? What does it matter? (Version B Carina)

Have you ever re-organized your wardrobe?
Its so satisfying when everything has its perfect spot!
Your favorite Shirt is where it should be, everything is neatly folded, and finding items is effortless.
But then over time you start to just toss clothes in and shove things in random places.
Eventually your wardrobe is utterly messy again...

Companies have to manage big amounts of data.
Like your wardrobe, they need a well-structured system to easily find information.
In a data warehouse data is stored in such a structured way.
But, if not properly taken care of, the collection of data can into a data lake; a messy, overwhelming pool of unstructured information.
Suddenly finding information becomes inefficient and frustrating.

So next time you put shirts in your wardrobe, remember that a little effort can go a long way in keeping your closet organized.

[carinaschrenk]

Final Feedback from the Content and Quality Team

1. The relation to computer science is missing. Please add some sentences or even a paragraph explaining the relevance/relation.
2. The labels in the image are reversed.

Please revise the article by the 31st, since the final versions should be available then, as decided in the seminar.

[carinaschrenk]

Hello Subahani,

the revision of the image made it unrenderable for Github. Please make sure that the image you upload can be rendered by Github. Secondly you did not revise the text yet.
Please consider applying the requested changes until the 5th of January.
Further please correct the image until then.

Best,
Carina, Quality and Content TF

[carinaschrenk]

Hi @subahini,

I saw that you revised the article. However, it did not change much from the old version, and the change does not address the feedback that was previously given.
If you disagree with our feedback please let me know, but I think the article would benefit from some extra sentences explaining the relation to computer science. It does not mean that you have to abandon the storyline of the party.

I look forward to hearing your thoughts.

Best,
Carina

[ashdriod]

Hi, this is the second delivery of the graphics, which currently include watermarks that will be removed after the delivery is approved on Fiverr. Small changes can be made until Tuesday, while larger changes will be included in the final order.

[subahini]

I appreciate the effort that went into this picture! While it’s lovely, I feel it could be even better if it were a bit closer to the original version. Perhaps aligning it more with the original's style or elements might capture the intended essence more effectively. What do you think?

[liuchengray]

Edited text after proofreading(Testing TF):

One day, the data lake and the data warehouse went to a party together. The data lake burst through the door, yelling, "Let’s get messy! Raw data, messy formats—dump it all on me!" It happily took in anything and everything: leftovers, drinks, and even random party decorations.

The data warehouse strolled in calmly, adjusting its tie, and said, "I’m here to keep things in order. Snacks in labeled trays, drinks sorted by type—no chaos on my watch."

By the end of the night, the data lake was overflowing with random junk, barely able to keep track of what was where. Meanwhile, the data warehouse sat neatly in the corner, muttering, "This is why I prefer structure," as people came to it for anything they actually needed to find.In computer science, the data lake represents unstructured, raw data storage, while the data warehouse epitomizes structured, organized data optimized for analysis and retrieval.