New feature: monitor recommendations

Metaplane introduces a new feature, monitor recommendations, which simplifies setting up data observability across various components of a data stack. The tool identifies critical assets and common sources of data quality issues to recommend where to add monitors and what types to use. Examples include freshness and row count for landing zones, uniqueness and nullness for JOINs, and cardinality for group by statements. Users can further fine-tune these recommendations based on their specific needs. This feature, combined with powerful machine learning monitors, makes getting started with Metaplane a seamless experience.

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