Building Batch Data Pipelines on Google Cloud
Language: English | Size:257.39 MB
Genre:eLearning
Files Included :
01 Optimizing Dataproc.mp4 (4.69 MB)
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02 The Hadoop ecosystem.mp4 (7.81 MB)
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03 Optimizing Dataproc monitoring.mp4 (5.37 MB)
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04 Running Hadoop on Dataproc.mp4 (15.87 MB)
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05 Pluralsight - Getting Started with GCP and Qwiklabs.mp4 (9.63 MB)
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07 Cloud Storage instead of HDFS.mp4 (11.49 MB)
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08 Lab Intro - Running Apache Spark jobs on Dataproc.mp4 (861.67 KB)
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09 Optimizing Dataproc storage.mp4 (15.56 MB)
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10 Optimizing Dataproc templates and autoscaling.mp4 (8.76 MB)
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11 Module introduction.mp4 (1.17 MB)
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12 Summary.mp4 (685.38 KB)
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01 Creating and re-using pipeline templates.mp4 (6.92 MB)
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02 Module introduction.mp4 (1.91 MB)
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03 Aggregate with GroupByKey and Combine.mp4 (9.65 MB)
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07 Lab Intro - MapReduce in Beam.mp4 (542.74 KB)
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08 Summary.mp4 (2.44 MB)
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09 Lab Intro - Building a Simple Dataflow Pipeline.mp4 (304.28 KB)
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10 Why customers value Dataflow.mp4 (6.65 MB)
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11 Introduction to Dataflow.mp4 (8.33 MB)
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12 Side inputs and windows of data.mp4 (9.38 MB)
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13 Lab Intro - Practicing Pipeline Side Inputs.mp4 (493.09 KB)
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14 Key considerations with designing pipelines.mp4 (3.87 MB)
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15 Building Dataflow pipelines in code.mp4 (5.83 MB)
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16 Transforming data with PTransforms.mp4 (5.79 MB)
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01 Module introduction.mp4 (1.09 MB)
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02 Orchestrate work between Google Cloud services with Cloud Co.mp4 (1.78 MB)
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03 Apache Airflow environment.mp4 (2.26 MB)
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04 Lab Intro - Building and executing a pipeline graph in Cloud.mp4 (546.07 KB)
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05 Monitoring and Logging.mp4 (6.79 MB)
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06 DAGs and Operators.mp4 (14.45 MB)
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07 Cloud Data Fusion UI.mp4 (3.65 MB)
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08 Explore data using wrangler.mp4 (3.95 MB)
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09 Lab Intro - An Introduction to Cloud Composer.mp4 (647.33 KB)
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10 Components of Cloud Data Fusion.mp4 (2.99 MB)
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11 Introduction to Cloud Data Fusion.mp4 (6.42 MB)
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14 Build a pipeline.mp4 (8.53 MB)
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15 Workflow scheduling.mp4 (9.59 MB)
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1 Course Introduction.mp4 (4.82 MB)
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1 Quality considerations.mp4 (4.5 MB)
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2 Module introduction.mp4 (2.24 MB)
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3 How to carry out operations in BigQuery.mp4 (7.87 MB)
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4 EL, ELT, ETL.mp4 (6.88 MB)
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5 Shortcomings.mp4 (7.4 MB)
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6 ETL to solve data quality issues.mp4 (11.56 MB)
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1 Course Summary.mp4 (5.34 MB)
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Building Batch Data Pipelines on Google Cloud.rar
https://rapidgator.net/file/c93a0f6176e171f9467675f6dc7a3724/Building.Batch.Data.Pipelines.on.Google.Cloud.rar
Building Batch Data Pipelines on Google Cloud.rar
https://fikper.com/eM9MUeiCny/Building.Batch.Data.Pipelines.on.Google.Cloud.rar.html