Udemy - Codeless Data Engineering in GCP Beginner to Advanced

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[ DevCourseWeb.com ] Udemy - Codeless Data Engineering in GCP Beginner to Advanced
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (87.0 MB)
    • 1. Introduction.srt (13.3 KB)
    • 2. Project Setup in Google Console.mp4 (42.8 MB)
    • 2. Project Setup in Google Console.srt (8.3 KB)
    • 3. Introduction to Google Cloud Storage - Part 1.mp4 (162.3 MB)
    • 3. Introduction to Google Cloud Storage - Part 1.srt (26.9 KB)
    • 4. Introduction to Google Cloud Storage - Part 2.mp4 (75.0 MB)
    • 4. Introduction to Google Cloud Storage - Part 2.srt (14.4 KB)
    • 5. Introduction to BigQuery.mp4 (358.7 MB)
    • 5. Introduction to BigQuery.srt (50.5 KB)
    2. Datastream for analytics - Data Pipeline 1
    • 1. Introduction.mp4 (26.7 MB)
    • 1. Introduction.srt (3.5 KB)
    • 2. Introduction to Cloud SQL and populating a database with data.mp4 (133.8 MB)
    • 2. Introduction to Cloud SQL and populating a database with data.srt (21.7 KB)
    • 3. Stream data from Cloud SQL into Cloud Storage with Datastream CDC.mp4 (76.2 MB)
    • 3. Stream data from Cloud SQL into Cloud Storage with Datastream CDC.srt (11.8 KB)
    • 4. Configure PubSub notifications for our Cloud Storage bucket.mp4 (65.8 MB)
    • 4. Configure PubSub notifications for our Cloud Storage bucket.srt (8.0 KB)
    • 5. Build a stream and batch processing pipeline using Dataflow.mp4 (174.1 MB)
    • 5. Build a stream and batch processing pipeline using Dataflow.srt (22.1 KB)
    3. Building batch data pipelines with Cloud Data Fusion - Data Pipeline 2
    • 1. introduction to Cloud Data Fusion and Setup.mp4 (43.9 MB)
    • 1. introduction to Cloud Data Fusion and Setup.srt (7.7 KB)
    • 2. Build a batch data pipeline with one data source using Data Fusion.mp4 (264.9 MB)
    • 2. Build a batch data pipeline with one data source using Data Fusion.srt (40.4 KB)
    • 3. Build a batch data pipeline with two data sources using Data Fusion.mp4 (144.0 MB)
    • 3. Build a batch data pipeline with two data sources using Data Fusion.srt (18.1 KB)
    • 4. Build a Data pipeline for ingesting data from AWS RDS into BigQuery.mp4 (126.2 MB)
    • 4. Build a Data pipeline for ingesting data from AWS RDS into BigQuery.srt (17.4 KB)
    • 5. Discover and govern data using metadata in Data Fusion.mp4 (24.6 MB)
    • 5. Discover and govern data using metadata in Data Fusion.srt (5.3 KB)
    4. Building Realtime Data Pipelines - Data Pipeline 3
    • 1. Creating a topic and Subscription in PubSub.mp4 (42.9 MB)
    • 1. Creating a topic and Subscription in PubSub.srt (6.0 KB)
    • 2. Build a simple .Net Application for publishing data to PubSub topic.mp4 (47.5 MB)
    • 2. Build a simple .Net Application for publishing data to PubSub topic.srt (6.8 KB)
    • 3. Build a data pipline with Dataflow for streaming messages to BigQuery.mp4 (49.2 MB)
    • 3. Build a data pipline with Dataflow for streaming messages to BigQuery.srt (5.8 KB)
    5. Creating a Data Pipeline with Google Cloud Dataprep - Data Pipeline 4
    • 1. Setup and introduction to DataPrep.mp4 (113.5 MB)
    • 1. Setup and introduction to DataPrep.srt (20.9 KB)
    • 2. Creating a flow in Dataprep.mp4 (101.0 MB)
    • 2. Creating a flow in Dataprep.srt (12.7 KB)
    • 3. Adding addtional Datasets to the flow.mp4 (40.8 MB)
    • 3. Adding addtional Datasets to the flow.srt (6.0 KB)
    • 4. Running the flow on Dataflow.mp4 (42.9 MB)
    • 4. Running the flow on Dataflow.srt (8.7 KB)
    • Bonus Resources.txt (0.4 KB)

Description

Codeless Data Engineering in GCP Beginner to Advanced



https://DevCourseWeb.com

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.19 GB | Duration: 4h 37m

Step by step guide to building four data pipelines in Google Cloud using DataStream, Data Fusion, DataPrep, DataFlow etc

What you'll learn
How to build No Code/Codeless data pipelines in Google Cloud
You will learn to build real-world data pipelines usings tools like Data Fusion, DataPrep and Dataflow
You will learn to transform data using Data Fusion
You will acquire good data engineering skills in Google Cloud
Working with Big Query Data warehouse in Google Cloud

Requirements
Basic understanding of cloud computing
An active google account
basic understanding of what a data lake and data warehouse are is essential but not required
Description
In this course, we will be creating a data lake using Google Cloud Storage and bring data warehouse capabilites to the data lake to form the lakehouse architecture using Google BigQuery. We will be building four no code data pipelines using services such as DataStream, Dataflow, DataPrep, Pub/Sub, Data Fusion, Cloud Storage, BigQuery etc.



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Udemy - Codeless Data Engineering in GCP Beginner to Advanced


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