| 1. Creating a topic and Subscription in PubSub.mp4 | 42.9 MB | ||
| 1. Creating a topic and Subscription in PubSub.srt | 6 KB | ||
| 1. Introduction.mp4 | 26.7 MB | ||
| 1. Introduction.srt | 3.5 KB | ||
| 1. Setup and introduction to DataPrep.mp4 | 113.5 MB | ||
| 1. Setup and introduction to DataPrep.srt | 20.9 KB | ||
| 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 | ||
| 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 | ||
| 2. Creating a flow in Dataprep.mp4 | 101 MB | ||
| 2. Creating a flow in Dataprep.srt | 12.7 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 | ||
| 2. Project Setup in Google Console.mp4 | 42.8 MB | ||
| 2. Project Setup in Google Console.srt | 8.3 KB | ||
| 3. Adding addtional Datasets to the flow.mp4 | 40.8 MB | ||
| 3. Adding addtional Datasets to the flow.srt | 6 KB | ||
| 3. Build a batch data pipeline with two data sources using Data Fusion.mp4 | 144 MB | ||
| 3. Build a batch data pipeline with two data sources using Data Fusion.srt | 18.1 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 | ||
| 3. Introduction to Google Cloud Storage - Part 1.mp4 | 162.3 MB | ||
| 3. Introduction to Google Cloud Storage - Part 1.srt | 26.9 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. 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 | ||
| 4. Configure PubSub notifications for our Cloud Storage bucket.mp4 | 65.8 MB | ||
| 4. Configure PubSub notifications for our Cloud Storage bucket.srt | 8 KB | ||
| 4. Introduction to Google Cloud Storage - Part 2.mp4 | 75 MB | ||
| 4. Introduction to Google Cloud Storage - Part 2.srt | 14.4 KB | ||
| 4. Running the flow on Dataflow.mp4 | 42.9 MB | ||
| 4. Running the flow on Dataflow.srt | 8.7 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 | ||
| 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 | ||
| 5. Introduction to BigQuery.mp4 | 358.7 MB | ||
| 5. Introduction to BigQuery.srt | 50.5 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 46 total files | |||
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.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.1 GB | freecoursewb | 3 years | 0 | 0 | |
| 205.6 MB | tutsgalaxy | 8 years | 2 | 0 |
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