Building Batch Data Pipelines on Google Cloud

سرفصل های دوره

Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data.

1. Introduction

1. Course Introduction

2. Introduction to Building Batch Data Pipelines

1. Quality considerations

2. Module introduction

3. How to carry out operations in BigQuery

4. EL, ELT, ETL

5. Shortcomings

6. ETL to solve data quality issues

03. Executing Spark on Dataproc

01. Optimizing Dataproc

02. The Hadoop ecosystem

03. Optimizing Dataproc monitoring

04. Running Hadoop on Dataproc

05. Pluralsight - Getting Started with GCP and Qwiklabs

07. Cloud Storage instead of HDFS

08. Lab Intro - Running Apache Spark jobs on Dataproc

09. Optimizing Dataproc storage

10. Optimizing Dataproc templates and autoscaling

11. Module introduction

12. Summary

04. Serverless Data Processing with Dataflow

01. Creating and re-using pipeline templates

02. Module introduction

03. Aggregate with GroupByKey and Combine

07. Lab Intro - MapReduce in Beam

08. Summary

09. Lab Intro - Building a Simple Dataflow Pipeline

10. Why customers value Dataflow

11. Introduction to Dataflow

12. Side inputs and windows of data

13. Lab Intro - Practicing Pipeline Side Inputs

14. Key considerations with designing pipelines

15. Building Dataflow pipelines in code

16. Transforming data with PTransforms

05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer

01. Module introduction

02. Orchestrate work between Google Cloud services with Cloud Co

03. Apache Airflow environment

04. Lab Intro - Building and executing a pipeline graph in Cloud

05. Monitoring and Logging

06. DAGs and Operators

07. Cloud Data Fusion UI

08. Explore data using wrangler

09. Lab Intro - An Introduction to Cloud Composer

10. Components of Cloud Data Fusion

11. Introduction to Cloud Data Fusion

14. Build a pipeline

15. Workflow scheduling

6. Course Summary

1. Course Summary

439,000 تومان

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تولید کننده: PluralSight