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Name:Building Batch Data Pipelines on Google Cloud (2023) gt [ DevCourseWeb ]
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Hash:ABBAA231AB046F64CDB4469B223201E245A16629
Category:Other
Peers:Seeds: 3 & Leechers: 2
Size:257.39 MB
Stream:Watch Full HD Movies @ LimeMovies
Date:27 June 2023

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Size: 257.39 MB
[ DevCourseWeb.com ] PluralSight - Building Batch Data Pipelines on Google Cloud (2023)
     Get Bonus Downloads Here.url -
182 bytes

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          03. Executing Spark on Dataproc/01. Optimizing Dataproc.mp4 -
4.69 MB

          03. Executing Spark on Dataproc/01. Optimizing Dataproc.vtt -
4.06 KB

          03. Executing Spark on Dataproc/02. The Hadoop ecosystem.mp4 -
7.81 MB

          03. Executing Spark on Dataproc/02. The Hadoop ecosystem.vtt -
6.97 KB

          03. Executing Spark on Dataproc/03. Optimizing Dataproc monitoring.mp4 -
5.37 MB

          03. Executing Spark on Dataproc/03. Optimizing Dataproc monitoring.vtt -
4.78 KB

          03. Executing Spark on Dataproc/04. Running Hadoop on Dataproc.mp4 -
15.87 MB

          03. Executing Spark on Dataproc/04. Running Hadoop on Dataproc.vtt -
14.64 KB

          03. Executing Spark on Dataproc/05. Pluralsight - Getting Started with GCP and Qwiklabs.mp4 -
9.63 MB

          03. Executing Spark on Dataproc/05. Pluralsight - Getting Started with GCP and Qwiklabs.vtt -
5.71 KB

          03. Executing Spark on Dataproc/07. Cloud Storage instead of HDFS.mp4 -
11.49 MB

          03. Executing Spark on Dataproc/07. Cloud Storage instead of HDFS.vtt -
8.38 KB

          03. Executing Spark on Dataproc/08. Lab Intro - Running Apache Spark jobs on Dataproc.mp4 -
861.67 KB

          03. Executing Spark on Dataproc/08. Lab Intro - Running Apache Spark jobs on Dataproc.vtt -
662 bytes

          03. Executing Spark on Dataproc/09. Optimizing Dataproc storage.mp4 -
15.56 MB

          03. Executing Spark on Dataproc/09. Optimizing Dataproc storage.vtt -
12.17 KB

          03. Executing Spark on Dataproc/10. Optimizing Dataproc templates and autoscaling.mp4 -
8.76 MB

          03. Executing Spark on Dataproc/10. Optimizing Dataproc templates and autoscaling.vtt -
7.9 KB

          03. Executing Spark on Dataproc/11. Module introduction.mp4 -
1.17 MB

          03. Executing Spark on Dataproc/11. Module introduction.vtt -
628 bytes

          03. Executing Spark on Dataproc/12. Summary.mp4 -
685.38 KB

          03. Executing Spark on Dataproc/12. Summary.vtt -
812 bytes

          04. Serverless Data Processing with Dataflow/01. Creating and re-using pipeline templates.mp4 -
6.92 MB

          04. Serverless Data Processing with Dataflow/01. Creating and re-using pipeline templates.vtt -
5.5 KB

          04. Serverless Data Processing with Dataflow/02. Module introduction.mp4 -
1.91 MB

          04. Serverless Data Processing with Dataflow/02. Module introduction.vtt -
1.15 KB

          04. Serverless Data Processing with Dataflow/03. Aggregate with GroupByKey and Combine.mp4 -
9.65 MB

          04. Serverless Data Processing with Dataflow/03. Aggregate with GroupByKey and Combine.vtt -
8.67 KB

          04. Serverless Data Processing with Dataflow/07. Lab Intro - MapReduce in Beam.mp4 -
542.74 KB

          04. Serverless Data Processing with Dataflow/07. Lab Intro - MapReduce in Beam.vtt -
498 bytes

          04. Serverless Data Processing with Dataflow/08. Summary.mp4 -
2.44 MB

          04. Serverless Data Processing with Dataflow/08. Summary.vtt -
3.42 KB

          04. Serverless Data Processing with Dataflow/09. Lab Intro - Building a Simple Dataflow Pipeline.mp4 -
304.28 KB

          04. Serverless Data Processing with Dataflow/09. Lab Intro - Building a Simple Dataflow Pipeline.vtt -
313 bytes

          04. Serverless Data Processing with Dataflow/10. Why customers value Dataflow.mp4 -
6.65 MB

          04. Serverless Data Processing with Dataflow/10. Why customers value Dataflow.vtt -
4.42 KB

          04. Serverless Data Processing with Dataflow/11. Introduction to Dataflow.mp4 -
8.33 MB

          04. Serverless Data Processing with Dataflow/11. Introduction to Dataflow.vtt -
8.65 KB

          04. Serverless Data Processing with Dataflow/12. Side inputs and windows of data.mp4 -
9.38 MB

          04. Serverless Data Processing with Dataflow/12. Side inputs and windows of data.vtt -
6.5 KB

          04. Serverless Data Processing with Dataflow/13. Lab Intro - Practicing Pipeline Side Inputs.mp4 -
493.09 KB

          04. Serverless Data Processing with Dataflow/13. Lab Intro - Practicing Pipeline Side Inputs.vtt -
468 bytes

          04. Serverless Data Processing with Dataflow/14. Key considerations with designing pipelines.mp4 -
3.87 MB

          04. Serverless Data Processing with Dataflow/14. Key considerations with designing pipelines.vtt -
3.28 KB

          04. Serverless Data Processing with Dataflow/15. Building Dataflow pipelines in code.mp4 -
5.83 MB

          04. Serverless Data Processing with Dataflow/15. Building Dataflow pipelines in code.vtt -
5.17 KB

          04. Serverless Data Processing with Dataflow/16. Transforming data with PTransforms.mp4 -
5.79 MB

          04. Serverless Data Processing with Dataflow/16. Transforming data with PTransforms.vtt -
4.41 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/01. Module introduction.mp4 -
1.09 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/01. Module introduction.vtt -
527 bytes

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/02. Orchestrate work between Google Cloud services with Cloud Co.mp4 -
1.78 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/02. Orchestrate work between Google Cloud services with Cloud Co.vtt -
1.78 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/03. Apache Airflow environment.mp4 -
2.26 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/03. Apache Airflow environment.vtt -
2.02 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/04. Lab Intro - Building and executing a pipeline graph in Cloud.mp4 -
546.07 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/04. Lab Intro - Building and executing a pipeline graph in Cloud.vtt -
397 bytes

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/05. Monitoring and Logging.mp4 -
6.79 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/05. Monitoring and Logging.vtt -
5.76 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/06. DAGs and Operators.mp4 -
14.45 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/06. DAGs and Operators.vtt -
10.52 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/07. Cloud Data Fusion UI.mp4 -
3.65 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/07. Cloud Data Fusion UI.vtt -
2.42 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/08. Explore data using wrangler.mp4 -
3.95 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/08. Explore data using wrangler.vtt -
2.46 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/09. Lab Intro - An Introduction to Cloud Composer.mp4 -
647.33 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/09. Lab Intro - An Introduction to Cloud Composer.vtt -
607 bytes

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/10. Components of Cloud Data Fusion.mp4 -
2.99 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/10. Components of Cloud Data Fusion.vtt -
1.99 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/11. Introduction to Cloud Data Fusion.mp4 -
6.42 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/11. Introduction to Cloud Data Fusion.vtt -
4.3 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/14. Build a pipeline.mp4 -
8.53 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/14. Build a pipeline.vtt -
6.81 KB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/15. Workflow scheduling.mp4 -
9.59 MB

          05. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer/15. Workflow scheduling.vtt -
7.53 KB

          1. Introduction/1. Course Introduction.mp4 -
4.82 MB

          1. Introduction/1. Course Introduction.vtt -
1.26 KB

          2. Introduction to Building Batch Data Pipelines/1. Quality considerations.mp4 -
4.5 MB

          2. Introduction to Building Batch Data Pipelines/1. Quality considerations.vtt -
4.43 KB

          2. Introduction to Building Batch Data Pipelines/2. Module introduction.mp4 -
2.24 MB

          2. Introduction to Building Batch Data Pipelines/2. Module introduction.vtt -
1.31 KB

          2. Introduction to Building Batch Data Pipelines/3. How to carry out operations in BigQuery.mp4 -
7.87 MB

          2. Introduction to Building Batch Data Pipelines/3. How to carry out operations in BigQuery.vtt -
4.59 KB

          2. Introduction to Building Batch Data Pipelines/4. EL, ELT, ETL.mp4 -
6.88 MB

          2. Introduction to Building Batch Data Pipelines/4. EL, ELT, ETL.vtt -
4.38 KB

          2. Introduction to Building Batch Data Pipelines/5. Shortcomings.mp4 -
7.4 MB

          2. Introduction to Building Batch Data Pipelines/5. Shortcomings.vtt -
4.52 KB

          2. Introduction to Building Batch Data Pipelines/6. ETL to solve data quality issues.mp4 -
11.56 MB

          2. Introduction to Building Batch Data Pipelines/6. ETL to solve data quality issues.vtt -
9.31 KB

          6. Course Summary/1. Course Summary.mp4 -
5.34 MB

          6. Course Summary/1. Course Summary.vtt -
5.16 KB

          Bonus Resources.txt -
386 bytes

          playlist.m3u -
4.5 KB


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