Udemy - Hands-On Data Engineering in Google Cloud Platform Python

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[ CourseWikia.com ] Udemy - Hands-On Data Engineering in Google Cloud Platform Python
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (19.3 MB)
    • 1. Introduction.srt (3.7 KB)
    • 2. Have the best learning experience.html (0.4 KB)
    2. Extract
    • 1. Google Cloud Platform Console.mp4 (33.8 MB)
    • 1. Google Cloud Platform Console.srt (6.8 KB)
    • 2. Cloud SDK.mp4 (122.3 MB)
    • 2. Cloud SDK.srt (21.9 KB)
    • 2.1 Extract - Cloud SDK (Docker).html (0.1 KB)
    • 3. Client Libraries.mp4 (188.0 MB)
    • 3. Client Libraries.srt (32.5 KB)
    • 3.1 Extract - Client Libraries (Python).html (0.2 KB)
    • 4. NiFi Installation.mp4 (104.2 MB)
    • 4. NiFi Installation.srt (21.0 KB)
    • 4.1 NiFi Installation.html (0.1 KB)
    • 5. NiFi Demo.mp4 (173.8 MB)
    • 5. NiFi Demo.srt (27.6 KB)
    • 5.1 NiFi Demo.html (0.1 KB)
    • 6. Gentle Reminder.html (0.5 KB)
    • 7. Summary.mp4 (5.8 MB)
    • 7. Summary.srt (1.9 KB)
    3. Load
    • 1. Cloud Storage.mp4 (25.5 MB)
    • 1. Cloud Storage.srt (6.0 KB)
    • 2. PubSub.mp4 (28.9 MB)
    • 2. PubSub.srt (6.4 KB)
    • 3. PubSub Demo.mp4 (197.0 MB)
    • 3. PubSub Demo.srt (29.8 KB)
    4. Transform - Cloud Functions
    • 1. Introduction.mp4 (29.8 MB)
    • 1. Introduction.srt (8.0 KB)
    • 2. Setup Source Data.mp4 (135.3 MB)
    • 2. Setup Source Data.srt (17.6 KB)
    • 2.1 Setup Source Data.html (0.1 KB)
    • 3. Setup Cloud SQL.mp4 (101.0 MB)
    • 3. Setup Cloud SQL.srt (25.8 KB)
    • 3.1 Setup Cloud SQL.html (0.1 KB)
    • 4. Setup Cloud Functions.mp4 (156.4 MB)
    • 4. Setup Cloud Functions.srt (34.1 KB)
    • 4.1 Cloud Functions Setup.html (0.1 KB)
    • 5. End to End Demo.mp4 (158.5 MB)
    • 5. End to End Demo.srt (29.2 KB)
    • 5.1 Sample command.html (0.1 KB)
    5. Transform - Cloud Dataflow
    • 1. Introduction & High Level Architecture.mp4 (42.9 MB)
    • 1. Introduction & High Level Architecture.srt (10.2 KB)
    • 2. Setup Source Data.mp4 (114.2 MB)
    • 2. Setup Source Data.srt (18.3 KB)
    • 2.1 Setup Source Data.html (0.1 KB)
    • 3. Setup BigQuery.mp4 (89.4 MB)
    • 3. Setup BigQuery.srt (17.2 KB)
    • 3.1 Setup Bigquery.html (0.1 KB)
    • 4. Setup Development for Apache Beam in GCP.mp4 (271.3 MB)
    • 4. Setup Development for Apache Beam in GCP.srt (43.2 KB)
    • 4.1 Setup Development for Apache Beam in GCP.html (0.2 KB)
    • 5. Deploy Dataflow.mp4 (126.9 MB)
    • 5. Deploy Dataflow.srt (21.2 KB)
    • 5.1 Deploy Dataflow.html (0.1 KB)
    • 6. End to End Demo.mp4 (108.3 MB)
    • 6. End to End Demo.srt (19.7 KB)
    • 6.1 End to End Demo.html (0.1 KB)
    6. Transform - Cloud Dataproc
    • 1. Introduction & High Level Architecture.mp4 (81.1 MB)
    • 1. Introduction & High Level Architecture.srt (20.3 KB)
    • 2. Setup Source Data.mp4 (15.9 MB)
    • 2. Setup Source Data.srt (3.4 KB)
    • 2.1 Setup Source Data.html (0.1 KB)
    • 3. Setup Cloud Function to Trigger Pyspark Script Part 1.mp4 (202.9 MB)
    • 3. Setup Cloud Function to Trigger Pyspark Script Part 1.srt (38.1 KB)
    • 3.1 Setup Cloud Function to Trigger Pyspark Script.html (0.2 KB)
    • 4. Setup Cloud Function to Trigger Pyspark Script Part 2.mp4 (220.8 MB)
    • 4. Setup Cloud Function to Trigger Pyspark Script Part 2.srt (43.6 KB)
    • 4.1 Setup Cloud Function to Trigger Pyspark Script.html (0.2 KB)
    • 5. Setup Bigtable.mp4 (128.6 MB)
    • 5. Setup Bigtable.srt (24.3 KB)
    • 5.1 Setup Bigtable.html (0.1 KB)
    • 6. Setup Cloud Function to Insert Bigtable.mp4 (90.6 MB)
    • 6. Setup Cloud Function to Insert Bigtable.srt (16.7 KB)
    • 6.1 Setup Cloud Function to Insert Bigtable.html (0.2 KB)
    • 7. End to End Demo.mp4 (185.1 MB)
    • 7. End to End Demo.srt (31.0 KB)
    • 7.1 End to End Demo.html (0.1 KB)
    7. Summary and Thank You Note
    • 1. Summary and Thank you!.mp4 (16.3 MB)
    • 1. Summary and Thank you!.srt (4.4 KB)
    • Bonus Resources.txt (0.3 KB)

Description

Hands-On Data Engineering in Google Cloud Platform | Python



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 30 lectures (5h 54m) | Size: 2.8 GB
Non-stop hands-on videos on serverless and self-managed technology stacks within GCP for aspiring data professionals!
What you'll learn:
Extract and load data from local machine to Cloud Storage and Pub/Sub.
Setup and use database such as Cloud SQL, BigQuery and Bigtable.
Transform data using Google Cloud Functions, Dataflow and Dataproc.
Implement real life end-to-end solutions by combining latest available tools in Google Cloud Platform.

Requirements
Basic Python, docker and bash knowledge. Detailed steps will be provided in both video and self-written articles by author, so no worries if you are a totally beginner!
Sign up for 90-day $300 Google Cloud Free Trial - credit card/payment method required. Google won't charge you unless you explicitly upgrade from your free trial to a paid account, so no worries!
Stable internet connection to watch all the non-stop live s in 1080p!

Description
You are going to learn about how we can create data engineering solutions in Google Cloud Platform (GCP) using different available tools, mainly using Python as our core programming language. We will start from basic introduction of what each component is mainly used for, then dive straight into s with detailed explanation on the design choice and reasonings behind. I am confident that you will come out of the course with a better understanding on what each component could possibly do and drive data engineering solutions in your team!

There are the list of tech stacks that we will be covering

https://CourseWikia.com



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Udemy - Hands-On Data Engineering in Google Cloud Platform Python

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Download torrent
3.1 GB
seeders:5
leechers:11
Udemy - Hands-On Data Engineering in Google Cloud Platform Python

Torrent hash: 70831FFBAA970E84834DD80EAC1710F3FA520B00