Linkedin Learning – AI In The Flow Of Data Engineering 5 Days To Build Data Pipelines With Databricks Genie Code UPDATED June 02 2026 BOOKWARE-LERNSTUF

By Pacman On Jun 4, 2026

Linkedin Learning - AI In The Flow Of Data Engineering 5 Days To Build Data Pipelines With Databricks Genie Code UPDATED June 02 2026 BOOKWARE-LERNSTUF

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        [ LERNSTUF ]             //   . ---//    //. .mR'24./    //            
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                               Linkedin Learning
 AI In The Flow Of Data Engineering 5 Days To Build Data Pipelines With Databri
                                 cks Genie Code
                             2026 (UPDATED June 02)
            __.                                                ..            . 
 .. - -  - /- --- _- [   R E L E A S E   D E T A i L S   ]- . ./\ . - __./---' 
  Release Date : 2026-06-05
  Publisher    : Linkedin Learning
  Title        : AI In The Flow Of Data Engineering 5 Days To Build Data Pipelines With Databricks Genie Code
  Year         : 2026 (UPDATED June 02)
  Month        : 06
  Category     : Unknown
  Language     : English
  Section      : BOOKWARE
  Files        : 08 x 10 MB
               _                                             .                 
 .. - - ___- _/ \____--[   R E L E A S E   N O T E S   ] _-- -\\_ ___--'-__ .. 
 https://www.linkedin.com/learning/ai-in-the-flow-of-data-engineering-5-days-to
                -build-data-pipelines-with-databricks-genie-code
   The new Databricks Genie Code agent has the ability to transform how data
  engineers build and manage pipelinesbut most practitioners havenTt yet had a
  chance to apply it in a real workflow. In this hands-on five-day challenge,
 Baraa Salkini guides you through using Genie Code inside Databricks to build a
  complete data pipeline using the free samples.tpch dataset. Each day focuses
     on a core layer of modern data engineering, from ingesting raw data to
 transforming it into business-ready insights. Along the way, learn how to use
  AI to generate code, accelerate development, and troubleshoot issues in real
 time. By the end of the challenge, you have a working pipeline you can share,
 extend, and build on in your own projects. This course is designed to be fully
 accessible using Databricks Free Edition, so you can follow along at no cost.
 This course was created by Baraa Salkini. We are pleased to host this content
                                in our library.
                _       .                                 __.                  
 .. - - _//- ___\____---' [   R E C R U i T i N G   ] . - _\_ ___--'-_ -- -_ . 
                         iF YOU HAVE ANYTHiNG TO OFFER                         
                CONTACT US ViA THE SCENE, OR EMAiL ADDRESS BELOW               
              ...       .                                      ___.            
 .. - - ___- _/ \____--' \ [   G R E E T i N G S   ] _-------' \\___-- -  // . 
    GREETiNGS TO ALL THE PAST AND PRESENT SCENE GROUPS AND SCENERS WHO MADE    
       STUF AVAiLABLE FOR THOSE THAT MAY NOT OTHERWISE HAD THE PRiViLEGE       
          _                                                   _             _  
 .. -_- -/_- __--\__ [   C O N T A C T   D E T A i L S   ] --- -___-- -  \ - . 
                         lernstuf [at] proton [dot] me                         
               .          .                    .-.                .            
 .. - - ___- _/ \____---' \\___-- .. - - ___- _/ \___----  -___-/__-- -  -- .  
           ._/       -     '                 -                 '    - .

File List:

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31M	001-day_1_set_up_databricks_free_edition_and_meet_genie_code.mkv
41M	002-day_2_build_bronze_bring_your_raw_data_in.mkv
1.9M	Articles
1.3M	Articles/day_1_practice.pdf
520K	Articles/day_2_practice.pdf
8.0K	Exercises
4.0K	Exercises/day1_project_files.zip
652K	LERNSTUF
648K	LERNSTUF/lernstuf_introduction_2025.rar
74M	total

File: 002-day_2_build_bronze_bring_your_raw_data_in.mkv
Size: 42862658 bytes (40.88 MiB), duration: 00:06:11, avg.bitrate: 924 kb/s
Audio: aac, 44100 Hz, stereo
Video: h264, yuv420p, 1920x1080, 30.00 fps(r) (eng)
Subtitles: eng

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Keywords: Linkedin, Learning, 8211, The, Flow, Data, Engineering, Days, Build, Data, Pipelines, With, Databricks, Genie, Code, UPDATED, June, 2026, BOOKWARE, LERNSTUF

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