![]() With the cross-source heterogeneous query capability of openLooKeng, data analysts can quickly analyze massive data. OpenLooKeng can be used to implement joint query of data warehouses such as RDBMS, NoSQL, Hive, and MPPDB. If data is not aggregated, federated query cannot be performed on data from different systems.These differences cause extra learning costs and complex application development logic. Querying various data sources requires different connection modes or clients and running different SQL dialects.Unaware of where and how to use the data you want, you cannot build a new service model based on massive data. ![]() Data analysts often suffer from the following problems: ![]() These data storage systems are often isolated from each other, resulting in independent data silos. With the increase of data volume and better data management, customers gradually build data warehouses based on Hive or MPPDB. Use Cases Cross-Source Heterogeneous Query Scenarioĭata management systems like RDBMS (such as MySQL and Oracle) and NoSQL (such as HBase, ES, and Kafka) are widely used in various application systems of customers. Cross-Source Heterogeneous Query Scenario.
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