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Last Updated: Jan 09, 2019

Scenario 1 Analyze OSS Data


You can store raw data (including such data types as logs, CSV, JSON, Avro, and more) on OSS. Through Data Lake Analytics (DLA), you can perform table creation, search query, and Business Intelligence (BI) integration in the specified OSS files or folders.

Scenario 2 Analyze Table Store Data


You can store time series data, pipeline data, logs, and post-extract, transform, and load (ETL) data on Table Store. DLA can run queries in a single Table Store table or perform association analysis for multiple tables.

Scenario 3 Association Analysis of Heterogeneous Data Sources


DLA can perform association analysis on multiple heterogeneous data sources from OSS and Table Store, and generate multiple data sources into consolidated insights.