Explore some best practices for using Datalab on GCP for an enterprise.
- [Instructor] Let's review some of the best practices…for using Datalab.…As an analyst, you might be excited about data…and all the insights it brings,…but you need to also watch out for all the billing charges…that accumulate on the GCP platform.…Organize yourself before starting…to explore data with Datalab.…Ask yourself if the data deserves to be analyzed in GCP.…See if downloading data to a laptop…might be sufficient to run local analysis.…
Use source-code control with Android…to control code changes and team access.…Save intermediate results in BigQuery…or Google cloud storage and reuse them.…(mumbles) summaries can be saved this way…so you don't have to recompute them…every time you run the notebook.…Watch out again for corresponding costs.…When large scale data processing is required…for items like booming, creating indicator variables,…aggregations et cetera, see if building data flow pipelines…is more appropriate than trying to do it through Datalab.…
You can use Datalab on small data sets,…but build repeatable analytic score using Dataflow.…
- 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
Predictive Customer Analyticswith Kumaran Ponnambalam1h 37m Intermediate
1. Exploration Options in GCP
2. Cloud Datalab Basics
3. Datalab: BigQuery
4. Datalab: Cloud Storage
5. Datalab: Visualizations
6. EDA with GCP: Use Case
7. Managing Datalab
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