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Background and preparations - Data Lake Analytics Documentation
BackgroundData Lake Analytics (DLA) serves as a hub for in-cloud data processing. It allows you to query and analyze data in ...
Background and preparations - Data Lake Analytics Documentation
BackgroundData Lake Analytics (DLA) is a serverless big data analysis service, which allows you to use standard SQL statements ...
Background and preparations - Data Lake Analytics Documentation
BackgroundData Lake Analytics (DLA) serves as a hub for in-cloud data processing. It allows you to query and analyze data in ...
Background and preparations - Data Lake Analytics Documentation
BackgroundData Lake Analytics (DLA) serves as the hub for in-cloud data processing. It allows you to connect to your MySQL, SQL ...
Background and preparations - Data Lake Analytics Documentation
services of Alibaba Cloud, such as MaxCompute and Data Lake Analytics (DLA) to query and analyze data in OSS. You can also create ...
Start with Alibaba Cloud DLA - Data Lake Analytics Documentation
Data Lake Analytics (DLA) is a serverless, in-cloud interactive query and analysis service. DLA allows you to run standard SQL ...
Advanced options - Data Lake Analytics Documentation
single table synchronizationWhen Data Lake Analytics (DLA) synchronizes data, 20 connections are used by default. When the ...
Background and preparations - Data Lake Analytics Documentation
rows in Data Lake Analytics (DLA). In addition, DLA supports JSON functions and UNNEST syntax, which allows you to process data ...
Call PreparedStatement to connect to DLA - Data Lake Analytics Documentation
BackgroundData Lake Analytics (DLA) supports calling the PreparedStatement method. This feature has the following advantages ...
Create OSS tables - Data Lake Analytics Documentation
create schemas or tables for other Alibaba Cloud services or your own databases, write SQL statements. Procedure Log on to the Data ...