Build a Data Mesh with Dataplex: Challenge Lab Reviews
6187 reviews
Vamshi Krishna M. · Reviewed over 1 year ago
Lautaro C. · Reviewed over 1 year ago
Mariusz M. · Reviewed over 1 year ago
Jerin K. · Reviewed over 1 year ago
des j. · Reviewed over 1 year ago
Kamil K. · Reviewed over 1 year ago
Ayushi A. · Reviewed over 1 year ago
Tomohisa K. · Reviewed over 1 year ago
Agata Z. · Reviewed over 1 year ago
Kavya s. · Reviewed over 1 year ago
kami k. · Reviewed over 1 year ago
It is not working
Antonio O. · Reviewed over 1 year ago
It is not working
Antonio O. · Reviewed over 1 year ago
There are problems in the DQ rule tasks. After creating and successfully applying the rules the final validation step complains that Rule named 'NOT NULL' not found for the user_id column in the data quality task.
Chris P. · Reviewed over 1 year ago
It is not working
Antonio O. · Reviewed over 1 year ago
Erdem D. · Reviewed over 1 year ago
Hassan A. · Reviewed over 1 year ago
Eric B. · Reviewed over 1 year ago
The NOT_NULL work fine here the code metadata_registry_defaults: dataplex: projects: qwiklabs-gcp-00-97fff7f782e6 locations: us-east4 lakes: sales-lake zones: curated-customer-zone row_filters: NONE: filter_sql_expr: |- True rule_dimensions: - completeness rules: NOT_NULL: rule_type: NOT_NULL dimension: completeness rule_bindings: VALID_CUSTOMER: entity_uri: bigquery://projects/qwiklabs-gcp-00-97fff7f782e6/datasets/customer_orders/tables/ordered_items column_id: user_id row_filter_id: NONE rule_ids: - NOT_NULL VALID_ORDER: entity_uri: bigquery://projects/qwiklabs-gcp-00-97fff7f782e6/datasets/customer_orders/tables/ordered_items column_id: order_id row_filter_id: NONE rule_ids: - NOT_NULL
Saleh M. · Reviewed over 1 year ago
Task # 5 is not working despite the task succeeding. Please fix the NOT_NULL error
Brian Louie C. · Reviewed over 1 year ago
Mateo M. · Reviewed over 1 year ago
Juan Pablo G. · Reviewed over 1 year ago
Zakaria H. · Reviewed over 1 year ago
Ot A. · Reviewed over 1 year ago
We do not ensure the published reviews originate from consumers who have purchased or used the products. Reviews are not verified by Google.