GENERATING A VIEW OF A DATASET IN A DATA LAKEHOUSE BASED ON USER INTENT
개요
출원인
International Business Machines Corporation
발명자
Ritwik Chaudhuri; Balaji Ganesan; Harsh Chauhan
IPC 분류
CPC 분류
Described are techniques for generating a query based view of appropriate datasets in a data lakehouse. A query for data contained in the data lakehouse is received. A similarity between the query and a description of each table in the lakehouse is computed. Any description of a table with a similarity to the query that is greater than a threshold value results in the table potentially being included in a view. As a result, such a table is selected. A subset of the selected tables is then identified and joined to create a new view of a dataset. After generating a description of the new view based on headers and values of the dataset, a similarity between the query and the description of the new view is computed. If the similarity measure exceeds a threshold value, then the newly constructed view is displayed to the user.
원문 (중국어)
Described are techniques for generating a query based view of appropriate datasets in a data lakehouse. A query for data contained in the data lakehouse is received. A similarity between the query and a description of each table in the lakehouse is computed. Any description of a table with a similarity to the query that is greater than a threshold value results in the table potentially being included in a view. As a result, such a table is selected. A subset of the selected tables is then identified and joined to create a new view of a dataset. After generating a description of the new view based on headers and values of the dataset, a similarity between the query and the description of the new view is computed. If the similarity measure exceeds a threshold value, then the newly constructed view is displayed to the user.