InfoSphere Discovery

自动发现隐藏的数据关系

IBM InfoSphere Discovery 能够自动发现异构系统内以及各异构系统之间各种复杂程度的数据关系。这种全面的解决方案使您能够创建数据资产完整的全方位视图。这样可使分析时间最多缩短 90%，提高准确性，并且更深入地揭示潜在的数据问题。

通过自动执行复杂的数据发现流程，IBM InfoSphere Discovery 可取代易于出错的手工数据检查方法，并使您能够：

• 深入洞察业务对象和转换规则 - 帮助您加速实现关键计划（例如数据集成、监管和归档）的价值。
• 促进数据归档项目 - 降低存储成本，优化关键业务系统的性能。
• 准确实施数据整合项目 - 改进应用程序迁移、数据仓储和主数据管理 (MDM) 计划。现在，您可以最大程度地降低风险，并更快速地部署项目，以支持关键决策。

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• Cross source column overlap analysis – performs a cross compare of all the columns across many data sources in order to establish a baseline of overlapping data across multiple sources.

• Matching key prototype – Hypothesize and test the quality of matching keys on multiple data sources simultaneously

• Empty target modeling and prototype – Drag, drop and combine attributes from data sources to prototype a new unified schema. View the profiling statistics for the prototype target data

• Precedence Discovery – Automatic generation of attribute matching precedence based on statistical analysis.

• Transformation Rule Discovery – IBM InfoSphere Discovery features patented algorithms that automate the discovery of complex business rules between two structured data sets:
  substrings, concatenations, cross-references, aggregations, case statements, arithmetic equations etc.

• Automatic matching key discovery – Algorithms automatically discover the matching key and statistically validates the key between two data sources

• Cross source data preview – Provides side by side preview of data across multiple data sources for the same logical row and allow the analyst to see values that match the business rules and anomalies that do not match

• Identification of sensitive information – Workflow supports classification of Personally Identifiable Information (PII)
  

  • Fuzzy value matching for sensitive data classification offers flexibility in identifying sensitive elements, eliminating the need to identify an exact match.

• Business object creation – Define complete business objects (logical groupings of related objects e.g. customer) that serve as essential inputs into information-centric projects such as data integration, master data management, data warehousing test data management and data archiving using IBM Optim products
  

  • Archiving volume projection with IBM InfoSphere Optim helps you predict the savings achievable by archiving a data object using a filter.

• Custom algorithm support – Custom algorithm creation wizard helps you create, test, and deploy custom algorithms, which can be deployed to one project or shared with other projects.
  

  • Selective classification and algorithm level thresholding provides more control over algorithm selection, eliminating the need to run all algorithms

• Import/Export – Read mapping specs from CSV and generate source maps to CSV

• Standardize business terms – Create and manage your business vocabulary within InfoSphere Business Glossary

• Speeds time-to-value of information centric projects by automating the data relationship discovery process.

• Improves success rates of data dependant projects by providing a 360 degree view of data assets and their complex relationships across heterogeneous sources.

• Increases Collaboration – Business objects can easily be discovered, defined and shared with IBM Optim products allowing re-use and faster deployment.
  

  • Integration with IBM InfoSphere Information Server and its Metadata Asset Manager provides direct access from within InfoSphere Discovery. This integration capability helps you import connection data and metadata from Xmeta, and generate data models into Xmeta from within InfoSphere Discovery.

• Reduces development time – IT can prototype and test new transformation rules for completeness before data is physically converted and moved. These rules can then be transferred to IBM InfoSphere FastTrack where business data analysts can augment with additional documentation and business logic before generating IBM InfoSphere DataStage Extract Transform and Load (ETL) jobs

• Enables data governance by providing a centralized, accurate understanding of data relationships across complex heterogeneous data sources.

• Tier I: Certified. These DBMSs are fully tested to work with InfoSphere Discovery.

• Tier 2: These DBMSs are known to work in the past or should work with Discovery even though a full certification cycle was not run on them during the latest release cycle. They are supported for PoCs and PoTs and will be fully retested and certified with 4 weeks of notice for purchases.

• All other DBMS types: Talk to your sales representative about certification upon purchase.

• IBM InfoSphere Discovery System 4.6 Requirements (44KB)
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