Udemy - Data Engineering With Google Datafusion And Big Query (Cdap)

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[ DevCourseWeb.com ] Udemy - Data Engineering With Google Datafusion And Big Query (Cdap)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction
    • 1 - 11 Get to Know the Teacher.mp4 (20.1 MB)
    • 2 - 12 Get to Know the Course.mp4 (34.9 MB)
    • 3 - 13 Introduction to Google Datafusion.mp4 (95.0 MB)
    • 4 - 14 Architecture and Components.mp4 (82.1 MB)
    • 5 - 15 Creating a Datafusion Instance.mp4 (46.5 MB)
    • 6 - 16 Instance Types and Pricing.mp4 (75.3 MB)
    • 7 - 17 Understanding a Datafusion Instance.mp4 (78.3 MB)
    2 - Developing Data Pipelines
    • 10 - 23 Working with Semi Structured Data.mp4 (53.3 MB)
    • 11 - 24 Pipeline Studio and Wangler.mp4 (165.5 MB)
    • 12 - 25 Preview and Debug.mp4 (92.5 MB)
    • 13 - 26 Sinking data on Big Query.mp4 (112.0 MB)
    • 14 - ERROR Importing json pipeline from other Datafusion Instance.mp4 (70.5 MB)
    • 15 - 27 Branching the Pipeline.mp4 (108.3 MB)
    • 16 - 28 Move files.mp4 (97.5 MB)
    • 17 - 29 Big Query as Source.mp4 (58.4 MB)
    • 18 - 210 Transforming Data with Wrangler 1.mp4 (122.2 MB)
    • 19 - 211 Transforming Data with Wrangler 2.mp4 (95.1 MB)
    • 20 - 212 Transforming Data with Big Query.mp4 (51.4 MB)
    • 21 - 213 Execute Query in Datafusion.mp4 (62.4 MB)
    • 22 - 214 Data Partitioning in Big Query.mp4 (72.0 MB)
    • 23 - 215 MERGE statement.mp4 (77.1 MB)
    • 24 - 216 Delete temp Tables.mp4 (96.7 MB)
    • 25 - 217 Scheduling and Pipeline Dependencies.mp4 (56.5 MB)
    • 26 - 218 ERRO Quota DISKSTOTALGB Exceed.mp4 (55.6 MB)
    • 27 - 219 Challenge.mp4 (68.5 MB)
    • 8 - 21 GCS Object Storage.mp4 (59.5 MB)
    • 9 - 22 Big Query as Datalake.mp4 (66.7 MB)
    • Bonus Resources.txt (0.4 KB)

Description

Data Engineering With Google Datafusion And Big Query (Cdap)



https://DevCourseWeb.com

Published 5/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.03 GB | Duration: 3h 7m

Your first steps in Data Engineering with Google Datafusion, a low-code tool with an open-source version (CDAP)

What you'll learn
Understand a bit more Google Cloud Resources
Use Google Datafusion as ETL tool
Data Engineering Low Code
ETL
Create Data Pipelines and DAGs
Read and Write data on Google Big Query
Read and Write data on Google Cloud Storage
Data Transformations with low code and queries

Requirements
GCP account
Previous exposure to SQL



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Udemy - Data Engineering With Google Datafusion And Big Query (Cdap)

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2 GB
seeders:4
leechers:7
Udemy - Data Engineering With Google Datafusion And Big Query (Cdap)

Torrent hash: E6D58FF7E896B82EB06982A7D574F921C4557869