标签：#googleworkspace

Turn Google Sheets into a Fully Interactive, Differential ACID Mutation Console for Apache Iceberg without Reverse ETL SaaS or Cloud Servers. Hero Infographic: Interactive Bidirectional Lakehouse Writeback via Google Sheets & Apache Iceberg. Enables business operators to query filtered records from an open Apache Iceberg table on Google Cloud Storage, visually edit values, add new rows, or purge obsolete records directly within a Google Sheets grid with an embedded dark-themed console, and commit atomic, microsecond-tolerant ACID mutations back to Parquet storage via BigQuery without Reverse ETL SaaS or persistent servers. Structural Analysis of the Hero Infographic: The hero infographic illustrates the complete, self-contained operational loop connecting frontline spreadsheet agility with immutable open lakehouse storage across three interconnected stages: 1. Predicate Query (Apache Iceberg Open Lakehouse on GCS) : The left section shows the enterprise analytical foundation hosted on Google Cloud Storage, where Apache Iceberg manages immutable Parquet data files, hierarchical Avro metadata, and commit snapshots. When a user requests high-value records, BigQuery acts as an on-demand distributed compute accelerator, executing SQL queries with predicate pushdown (e.g., SELECT * WHERE price > 1000 ORDER BY id ASC ) to fetch precise subsets in sub-seconds. 2. Frontline Editing in Google Sheets (Intuitive Operational Experience) : The central section features a modern, user-friendly Google Sheets grid docked with the sleek dark-themed Iceberg Lakehouse Console sidebar. A business user effortlessly modifies data on the grid with immediate visual feedback: modifying existing values (e.g., updating price from 1500 to 123 ), appending new rows with unique primary keys ( + ADD (New Row id:121) ), and deleting obsolete rows ( 🗑️ DELETE (Removed id:104) ). Native cell validation guarantees data cleanliness, while a Privacy Mode toggle ( [🔒 Privacy: ON] ) automatically masks sen