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Harnessing Data Magic: Let a Genie Find Your Needle in a Field of Haystacks!

Session followup

Summary: Danny Lee, Danny Lee, thanks participants for attending their session and informs them that the session has concluded. The video is available on YouTube (unlisted) and on the session page, along with a Powerpoint and a Databricks notebook in DBC format. Danny Lee provides links shared during the session introduction, including official Databricks links, community forums, and resources. Additionally, detailed instructions for importing the Databricks notebook are specified. Danny Lee encourages attendees to connect on various platforms, including Databricks user groups, LinkedIn, and Meetup.
AI Summary

Hi all,

Thanks for your interest in this session, its now competed. Hope you will join us next time.

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The Video is available on YouTube (unlisted) and on this page.

Powerpoint:

The Databricks notebook is available in DBC format here (instructions to import at bottom of this page):

note: Please let me know if there's any access issues.

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Here are the links shared in the Session Intro:

Official Databricks Links:

Databricks Data+AI Summit (Virtual): https://www.databricks.com/dataaisummit

NYC Databrick Community Meetup NYC: https://www.meetup.com/databricks-community-meetup-nyc/

Databricks Free Edition: https://www.databricks.com/learn/free-edition 

Databricks Community Forums: https://community.databricks.com/

Once you’re there, say hello and connect with me — my username is Danny_Lee.

Our DUG: https://usergroups.databricks.com/queens-new-york-databricks-user-group/

Databricks User groups – create your own:  https://usergroups.databricks.com/chapters/

Databricks Release Notes: https://docs.databricks.com/aws/en/release-notes/product/ 

Databricks YouTube: https://www.youtube.com/@Databricks 


Group Links (unofficial)

Our DUG LinkedIn: https://www.linkedin.com/groups/17534047/

Our DUG Meetup: https://www.meetup.com/queens-ny-databricks-user-group/

Our DUG Luma: https://luma.com/qnydug/

Our DUG YouTube: https://www.youtube.com/@qnydug

Our O'Reilly Book Recommendations: https://tinyurl.com/3h2s4d3z

Speaker Proposal Form:  https://forms.office.com/r/GABbiPh5a9

QNYDUG Zoom background: https://tinyurl.com/qnydug-bg


Dataset Sources

Kaggle - https://www.kaggle.com/datasets/snap/amazon-fine-food-reviews/data

NYC Open Data - https://opendata.cityofnewyork.us/ 

US Gov Data - https://data.gov/

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Notebook Import Instructions

To IMPORT the DBC archive to recreate the notebook, log on to Databricks:

  1. Enter the Workspace area

  2. Drop down the triple-dot menu

  3. Select Import

  4. Upload the DBC archive

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