Biz Metadata Management
Biz Metadata Management
Providing a dynamic query retrieval environment through In-Memory distributed processing, scaling performance through a scale-out approach to handle data growth.
Using heterogeneous distributed source data without the need for replication, enabling it to be used like a single Local DB, and providing search metadata for understanding the original data.
Supporting redundancy configuration for fault tolerance, preventing data loss through data distribution and replication, and ensuring data access security and integrity.
Ensuring stability through proprietary technology-based products and having dedicated SuperQuery technical support personnel. Providing support for batch testing when internal opensource patches occur.
Providing a dynamic query retrieval environment through In-Memory distributed processing, scaling performance through a scale-out approach to handle data growth.
Using heterogeneous distributed source data without the need for replication, enabling it to be used like a single Local DB, and providing search metadata for understanding the original data.
Supporting redundancy configuration for fault tolerance, preventing data loss through data distribution and replication, and ensuring data access security and integrity.
Ensuring stability through proprietary technology-based products and having dedicated SuperQuery technical support personnel. Providing support for batch testing when internal opensource patches occur.
A virtualization-based analysis support platform that can access and utilize metadata from all types of data sources,
including RDBMS, unstructured data sources, and cloud data sources.
Users can extract and integrate data through a single access channel using standard SQL,
regardless of the type, structure, and location of the data.
Applying the in-memory open-source Spark engine enables fast and
flexible access to data from various data repositories such as RDBMS and Hadoop.
Utilize reliable data by managing the metadata from all data sources individually through a metadata repository.
Utilize standard database interfaces and manage memory resources to minimize changes to existing applications.
Copyright 2015 DataStreams
Licensed under the Apache License, Version 2.0 (the “License”); you may not use this file except in compliance with the License.
You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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