GitHub user melin added a comment to the discussion: Support Internal Catalog
In China, data development personnel generally do not pay much attention to using data lakes. They are more focused on real-time data being written to data warehouses. Data lakes are needed to solve problems. There is no such high level of substitution as in the foreign market where iceberg is used to replace hive. Only some ODS tables use Paimon or iceberg. The main approach is to use the Parquet format table. There are also certain costs associated with using a data lake. It is difficult to implement all the tables using iceberg or paimon. Technically, an HMS is required. If the customer requests a cloud-native solution, they may question why an HMS is still needed (believing that only Hadoop would require an HMS). It is hoped to find an alternative solution to HMS. It is believed that more people have such demands. GitHub link: https://github.com/apache/gravitino/discussions/7652#discussioncomment-13729823 ---- This is an automatically sent email for [email protected]. To unsubscribe, please send an email to: [email protected]
