Google Dataprep is a data service used for analysis, reporting, and machine learning. In this video, explore Dataprep more closely as you create a Dataflow (Apache Beam) job.
- [Instructor] So another excellent article … around data warehousing is this data-lifecycle article. … It really encompasses more than the data warehouse scenario. … But it'll help you understand how the storage services … and the data movement services … are intended to be used together. … So you can see that the data-lifecycle … according to Google has four steps, … ingest, store, process and analyze, explore and visualize. … And what they've done in this article … is they've categorized their services … according to the different phases in the data-lifecycle. … Now, I would add the dimension of the type of workload … that you're going to be performing. … So, in terms of process and analyze. … And as we just saw in the previous movie, … in BigQuery, you now can, for example, … apply both data warehousing type SQL queries … and some types of machine learning workloads … directly to that store. … So, it's really a fast moving space … that is coming with new service capabilities on GCP …
- Enterprise concerns
- Enterprise scenarios
- Setting up your organization’s account
- Managing billing
- Enterprise compute services
- Enterprise storage and database services
- Enterprise data pipelines
- GCP developer and DevOps tools
Skill Level Intermediate
Work with cloud services1m 13s
1. GCP for the Enterprise
2. Enterprise Setup and Security
3. Enterprise Compute
4. Enterprise Storage and Database
5. Enterprise Data Pipelines
6. Dev and DevOps Tools
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