Indexing Data Lake Formation (IDLF)
Indexing Data Lake Formation (IDLF) is a one-stop big data development platform, which provides data management, data development, data governance, data services and other functions, supports big data storage, computing and analysis, and enables enterprises to quickly have data governance and service capabilities.
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Product Advantages
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Product functions
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Application scenarios
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solution
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Product Advantages
Multi-source data aggregationCollect data from various sources such as databases, the Internet, and the Internet of Things to achieve massive data aggregation.
One-stop data developmentProvide a visualized one-stop data development environment to quickly complete the full-link processing of data.
Data governance operationsProvide standardized and normalized data management, and realize the visualization, management, and availability of data assets.
Open data servicesEstablish a data service system based on “data + service” to promote business innovation and jointly build a big data ecosystem.
Product functions
- Data integration
Provide batch, incremental, and real-time data migration services between homogeneous and heterogeneous data sources.
- Data development
Provide a one-stop big data development environment and support visual process orchestration.
- Data standards
Describe the meaning of data and business rules that need to be followed at the business level.
- Data model
Operationalize data in the process of data governance to effectively support operational decision-making.
- Data quality
Provide integrated data quality inspection capabilities to continuously monitor data quality and make quality improvements.
- Data assets
With metadata as the core, clarify information assets and realize the panoramic visualization and management of data assets.
- Data security
Provide multi-faceted data security management capabilities to effectively protect sensitive data.
- Data services
Provide one-stop data service exposure capabilities and implement security management and control through API gateways.
Application scenarios
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Operators
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Public safety field
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Financial field
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Medical and health field
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Build a unified data lake, provide support for high concurrency and big data storage capabilities, build a unified data lake, and use the distributed computing capabilities of the platform to concurrently process analysis tasks and support business decisions.
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With one-stop processing of massive heterogeneous data, big data and artificial intelligence technology are used to integrate various types of internal and external data with complex structures, greatly improving the efficiency of data acquisition, governance, analysis and other links.
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With massive storage + artificial intelligence, the intrinsic value of data is mined and the massive storage capacity of the “data lake” and artificial intelligence technology are used to achieve millisecond-level query of hundreds of terabytes of historical data tables, and support precision marketing.
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Gather multi-source heterogeneous data, build a data lake in the medical and health field, gather multiple types of data from medical institutions, government departments and third-party organizations at all levels, and build an organizational architecture that supports zettabyte-level data application service storage.
More options
Empower customers to quickly and securely migrate to the cloud，
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