| 01. Creating and re-using pipeline templates.mp4 | 6.9 MB | ||
| 01. Creating and re-using pipeline templates.vtt | 5.5 KB | ||
| 01. Module introduction.mp4 | 1.1 MB | ||
| 01. Module introduction.vtt | 512 B | ||
| 01. Optimizing Dataproc.mp4 | 4.7 MB | ||
| 01. Optimizing Dataproc.vtt | 4.1 KB | ||
| 02. Module introduction.mp4 | 1.9 MB | ||
| 02. Module introduction.vtt | 1.1 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 | ||
| 02. The Hadoop ecosystem.mp4 | 7.8 MB | ||
| 02. The Hadoop ecosystem.vtt | 7 KB | ||
| 03. Aggregate with GroupByKey and Combine.mp4 | 9.6 MB | ||
| 03. Aggregate with GroupByKey and Combine.vtt | 8.7 KB | ||
| 03. Apache Airflow environment.mp4 | 2.3 MB | ||
| 03. Apache Airflow environment.vtt | 2 KB | ||
| 03. Optimizing Dataproc monitoring.mp4 | 5.4 MB | ||
| 03. Optimizing Dataproc monitoring.vtt | 4.8 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 | 409.6 B | ||
| 04. Running Hadoop on Dataproc.mp4 | 15.9 MB | ||
| 04. Running Hadoop on Dataproc.vtt | 14.6 KB | ||
| 05. Monitoring and Logging.mp4 | 6.8 MB | ||
| 05. Monitoring and Logging.vtt | 5.8 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 | ||
| 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 | ||
| 07. Cloud Storage instead of HDFS.mp4 | 11.5 MB | ||
| 07. Cloud Storage instead of HDFS.vtt | 8.4 KB | ||
| 07. Lab Intro - MapReduce in Beam.mp4 | 542.7 KB | ||
| 07. Lab Intro - MapReduce in Beam.vtt | 512 B | ||
| 08. Explore data using wrangler.mp4 | 4 MB | ||
| 08. Explore data using wrangler.vtt | 2.5 KB | ||
| 08. Lab Intro - Running Apache Spark jobs on Dataproc.mp4 | 861.7 KB | ||
| 08. Lab Intro - Running Apache Spark jobs on Dataproc.vtt | 614.4 B | ||
| 08. Summary.mp4 | 2.4 MB | ||
| 08. Summary.vtt | 3.4 KB | ||
| 09. Lab Intro - An Introduction to Cloud Composer.mp4 | 647.3 KB | ||
| 09. Lab Intro - An Introduction to Cloud Composer.vtt | 614.4 B | ||
| 09. Lab Intro - Building a Simple Dataflow Pipeline.mp4 | 304.3 KB | ||
| 09. Lab Intro - Building a Simple Dataflow Pipeline.vtt | 307.2 B | ||
| 09. Optimizing Dataproc storage.mp4 | 15.6 MB | ||
| 09. Optimizing Dataproc storage.vtt | 12.2 KB | ||
| 1. Course Introduction.mp4 | 4.8 MB | ||
| 1. Course Introduction.vtt | 1.3 KB | ||
| 1. Course Summary.mp4 | 5.3 MB | ||
| 1. Course Summary.vtt | 5.2 KB | ||
| 1. Quality considerations.mp4 | 4.5 MB | ||
| 1. Quality considerations.vtt | 4.4 KB | ||
| 10. Components of Cloud Data Fusion.mp4 | 3 MB | ||
| 10. Components of Cloud Data Fusion.vtt | 2 KB | ||
| 10. Optimizing Dataproc templates and autoscaling.mp4 | 8.8 MB | ||
| 10. Optimizing Dataproc templates and autoscaling.vtt | 7.9 KB | ||
| 10. Why customers value Dataflow.mp4 | 6.6 MB | ||
| 10. Why customers value Dataflow.vtt | 4.4 KB | ||
| 11. Introduction to Cloud Data Fusion.mp4 | 6.4 MB | ||
| 11. Introduction to Cloud Data Fusion.vtt | 4.3 KB | ||
| 11. Introduction to Dataflow.mp4 | 8.3 MB | ||
| 11. Introduction to Dataflow.vtt | 8.7 KB | ||
| 11. Module introduction.mp4 | 1.2 MB | ||
| 11. Module introduction.vtt | 614.4 B | ||
| 12. Side inputs and windows of data.mp4 | 9.4 MB | ||
| 12. Side inputs and windows of data.vtt | 6.5 KB | ||
| 12. Summary.mp4 | 685.4 KB | ||
| 12. Summary.vtt | 819.2 B | ||
| 13. Lab Intro - Practicing Pipeline Side Inputs.mp4 | 493.1 KB | ||
| 13. Lab Intro - Practicing Pipeline Side Inputs.vtt | 512 B | ||
| 14. Build a pipeline.mp4 | 8.5 MB | ||
| 14. Build a pipeline.vtt | 6.8 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 | ||
| 15. Workflow scheduling.mp4 | 9.6 MB | ||
| 15. Workflow scheduling.vtt | 7.5 KB | ||
| 16. Transforming data with PTransforms.mp4 | 5.8 MB | ||
| 16. Transforming data with PTransforms.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 | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| playlist.m3u | 4.5 KB | ||
| ▲ 93 total files | |||
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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