Storing Data on Google Cloud for Data Engineers
Selecting and designing storage for analytics and operational data: BigQuery, Bigtable, Spanner, Cloud SQL, AlloyDB, Firestore and Cloud Storage data lakes.
GCP-312 12 lessons planned ▶ Video lessons coming soon
Offered by HSM University · Google Cloud Certification Prep
Course content
- 1Choosing storage by access patternComing
- 2BigQuery storage designComing
- 3Partitioning and clustering strategiesComing
- 4BigLake and open table formatsComing
- 5Cloud Storage as a data lakeComing
- 6Bigtable schema designComing
- 7Spanner schema and interleavingComing
- 8Cloud SQL and AlloyDB for operational dataComing
- 9Firestore data modellingComing
- 10Data warehouse modellingComing
- 11Lifecycle, retention and archivingComing
- 12Lab walkthrough: storage for a ride-sharing serviceComing
Requirements
Recommended background. You can start any course at any time.
Description
Selecting and designing storage for analytics and operational data: BigQuery, Bigtable, Spanner, Cloud SQL, AlloyDB, Firestore and Cloud Storage data lakes.