Explore the purpose and capabilities of Datalab.
- [Instructor] Let us now dive deep into Cloud Datalab.…Cloud Datalab is a tool on GCP…to build and execute exploratory data analytics projects.…It is essentially a Jupyter-based notebook,…which Python developers are extremely familiar with.…It is a managed version of this tool.…Datalab runs on a dedicated compute engine on GCP,…which is fully managed.…
As a user, you will install Cloud SDK…on your laptop or desktop, then set up Datalab…and run it through the Cloud SDK shell.…All operations for Datalab can then be managed…through your browser without having…to login to the Cloud GCP console.…All notebooks created through Cloud Datalab are stored…in ungit and accessible through both the Cloud SDK…and the compute engine VM for Datalab.…
Author
Kumaran Ponnambalam
Released
11/14/2018- Setting up Cloud DataLlb for exploratory data analytics
- Segmentation and profiling
- Reading and writing data from BigQuery
- Managing cloud storage buckets
- Creating visualizations of BigQuery data with the GCP Charting API
- Managing Datalab instances
Skill Level Intermediate
Duration
Views
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Introduction
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Why EDA on Datalab?1m 2s
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Data science modules covered2m 11s
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1. Exploration Options in GCP
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BigQuery2m 32s
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Datalab2m 14s
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Data Studio2m 10s
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Cloud Dataflow2m 17s
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2. Cloud Datalab Basics
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What is Datalab?1m 3s
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Setting up the Cloud SDK3m 11s
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Setting up Datalab3m 3s
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Managing Datalab2m 12s
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Using the exercise files1m 12s
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3. Datalab: BigQuery
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Setting up BigQuery3m 15s
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BigQuery commands1m 36s
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Reading data from BigQuery1m 13s
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Working with DataFrames1m 29s
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Writing data to BigQuery1m 30s
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4. Datalab: Cloud Storage
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Listing bucket contents2m 38s
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Managing buckets1m 18s
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Writing to buckets1m 26s
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5. Datalab: Visualizations
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6. EDA with GCP: Use Case
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Statistics and correlations1m 37s
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Segmentation and profiling1m 15s
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7. Managing Datalab
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Datalab instance management1m 13s
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Adding new packages1m 8s
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Managing source code1m 16s
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Datalab best practices1m 17s
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Conclusion
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Next steps42s
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Video: What is Datalab?