PluralSight - Building Batch Data Pipelines on Google Cloud (2023)

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[ DevCourseWeb.com ] PluralSight - Building Batch Data Pipelines on Google Cloud (2023)
  • Get Bonus Downloads Here.url (0.2 KB)
  • ~Get Your Files Here ! 03. Executing Spark on Dataproc
    • 01. Optimizing Dataproc.mp4 (4.7 MB)
    • 01. Optimizing Dataproc.vtt (4.1 KB)
    • 02. The Hadoop ecosystem.mp4 (7.8 MB)
    • 02. The Hadoop ecosystem.vtt (7.0 KB)
    • 03. Optimizing Dataproc monitoring.mp4 (5.4 MB)
    • 03. Optimizing Dataproc monitoring.vtt (4.8 KB)
    • 04. Running Hadoop on Dataproc.mp4 (15.9 MB)
    • 04. Running Hadoop on Dataproc.vtt (14.6 KB)
    • 05. Pluralsight - Getting Started with GCP and Qwiklabs.mp4 (9.6 MB)
    • 05. Pluralsight - Getting Started with GCP and Qwiklabs.vtt (5.7 KB)
    • 07. Cloud Storage instead of HDFS.mp4 (11.5 MB)
    • 07. Cloud Storage instead of HDFS.vtt (8.4 KB)
    • 08. Lab Intro - Running Apache Spark jobs on Dataproc.mp4 (861.7 KB)
    • 08. Lab Intro - Running Apache Spark jobs on Dataproc.vtt (0.6 KB)
    • 09. Optimizing Dataproc storage.mp4 (15.6 MB)
    • 09. Optimizing Dataproc storage.vtt (12.2 KB)
    • 10. Optimizing Dataproc templates and autoscaling.mp4 (8.8 MB)
    • 10. Optimizing Dataproc templates and autoscaling.vtt (7.9 KB)
    • 11. Module introduction.mp4 (1.2 MB)
    • 11. Module introduction.vtt (0.6 KB)
    • 12. Summary.mp4 (685.4 KB)
    • 12. Summary.vtt (0.8 KB)
    04. Serverless Data Processing with Dataflow
    • 01. Creating and re-using pipeline templates.mp4 (6.9 MB)
    • 01. Creating and re-using pipeline templates.vtt (5.5 KB)
    • 02. Module introduction.mp4 (1.9 MB)
    • 02. Module introduction.vtt (1.1 KB)
    • 03. Aggregate with GroupByKey and Combine.mp4 (9.6 MB)
    • 03. Aggregate with GroupByKey and Combine.vtt (8.7 KB)
    • 07. Lab Intro - MapReduce in Beam.mp4 (542.7 KB)
    • 07. Lab Intro - MapReduce in Beam.vtt (0.5 KB)
    • 08. Summary.mp4 (2.4 MB)
    • 08. Summary.vtt (3.4 KB)
    • 09. Lab Intro - Building a Simple Dataflow Pipeline.mp4 (304.3 KB)
    • 09. Lab Intro - Building a Simple Dataflow Pipeline.vtt (0.3 KB)
    • 10. Why customers value Dataflow.mp4 (6.6 MB)
    • 10. Why customers value Dataflow.vtt (4.4 KB)
    • 11. Introduction to Dataflow.mp4 (8.3 MB)
    • 11. Introduction to Dataflow.vtt (8.7 KB)
    • 12. Side inputs and windows of data.mp4 (9.4 MB)
    • 12. Side inputs and windows of data.vtt (6.5 KB)
    • 13. Lab Intro - Practicing Pipeline Side Inputs.mp4 (493.1 KB)
    • 13. Lab Intro - Practicing Pipeline Side Inputs.vtt (0.5 KB)
    • 14. Key considerations with designing pipelines.mp4 (3.9 MB)
    • 14. Key considerations with designing pipelines.vtt (3.3 KB)
    • 15. Building Dataflow pipelines in code.mp4 (5.8 MB)
    • 15. Building Dataflow pipelines in code.vtt (5.2 KB)
    • 16. Transforming data with PTransforms.mp4 (5.8 MB)
    • 16. Transforming data with PTransforms.vtt (4.4 KB)
    05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer
    • 01. Module introduction.mp4 (1.1 MB)
    • 01. Module introduction.vtt (0.5 KB)
    • 02. Orchestrate work between Google Cloud services with Cloud Co.mp4 (1.8 MB)
    • 02. Orchestrate work between Google Cloud services with Cloud Co.vtt (1.8 KB)
    • 03. Apache Airflow environment.mp4 (2.3 MB)
    • 03. Apache Airflow environment.vtt (2.0 KB)
    • 04. Lab Intro - Building and executing a pipeline graph in Cloud.mp4 (546.1 KB)
    • 04. Lab Intro - Building and executing a pipeline graph in Cloud.vtt (0.4 KB)
    • 05. Monitoring and Logging.mp4 (6.8 MB)
    • 05. Monitoring and Logging.vtt (5.8 KB)
    • 06. DAGs and Operators.mp4 (14.4 MB)
    • 06. DAGs and Operators.vtt (10.5 KB)
    • 07. Cloud Data Fusion UI.mp4 (3.6 MB)
    • 07. Cloud Data Fusion UI.vtt (2.4 KB)
    • 08. Explore data using wrangler.mp4 (4.0 MB)
    • 08. Explore data using wrangler.vtt (2.5 KB)
    • 09. Lab Intro - An Introduction to Cloud Composer.mp4 (647.3 KB)
    • 09. Lab Intro - An Introduction to Cloud Composer.vtt (0.6 KB)
    • 10. Components of Cloud Data Fusion.mp4 (3.0 MB)
    • 10. Components of Cloud Data Fusion.vtt (2.0 KB)
    • 11. Introduction to Cloud Data Fusion.mp4 (6.4 MB)
    • 11. Introduction to Cloud Data Fusion.vtt (4.3 KB)
    • 14. Build a pipeline.mp4 (8.5 MB)
    • 14. Build a pipeline.vtt (6.8 KB)
    • 15. Workflow scheduling.mp4 (9.6 MB)
    • 15. Workflow scheduling.vtt (7.5 KB)
    1. Introduction
    • 1. Course Introduction.mp4 (4.8 MB)
    • 1. Course Introduction.vtt (1.3 KB)
    2. Introduction to Building Batch Data Pipelines
    • 1. Quality considerations.mp4 (4.5 MB)
    • 1. Quality considerations.vtt (4.4 KB)
    • 2. Module introduction.mp4 (2.2 MB)
    • 2. Module introduction.vtt (1.3 KB)
    • 3. How to carry out operations in BigQuery.mp4 (7.9 MB)
    • 3. How to carry out operations in BigQuery.vtt (4.6 KB)
    • 4. EL, ELT, ETL.mp4 (6.9 MB)
    • 4. EL, ELT, ETL.vtt (4.4 KB)
    • 5. Shortcomings.mp4 (7.4 MB)
    • 5. Shortcomings.vtt (4.5 KB)
    • 6. ETL to solve data quality issues.mp4 (11.6 MB)
    • 6. ETL to solve data quality issues.vtt (9.3 KB)
    6. Course Summary
    • 1. Course Summary.mp4 (5.3 MB)
    • 1. Course Summary.vtt (5.2 KB)
    • Bonus Resources.txt (0.4 KB)
    • playlist.m3u (4.5 KB)

Description

Building Batch Data Pipelines on Google Cloud (2023)



https://DevCourseWeb.com

Released 6/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + vtt | Duration: 2h 22m | Size: 257 MB

Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms

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. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.



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257.4 MB
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PluralSight - Building Batch Data Pipelines on Google Cloud (2023)


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