International Business Machines Corporation

Airbnb, Inc.

Roger Kenneth Hecker

Benjamin Halberstadt

Michael Fankhauser

Joshua Fox

Shlomo Steinhart

Ortal Nizri

Marc N Haber

Erel Sharf

Michael Frankhauser

Ilan D Prager

Joanne Friedman

Text including at least a first term can be presented on a display. An enterprise glossary can be queried to identify at least a first curation parameter assigned to the first term. A first score can be determined for the first term based, at least in part, on the first curation parameter assigned to the first term. The first score can be assigned to a first data value. The first data value can be presented on the display.

Identifying and scoring data values

Text including at least a first term can be presented on a display. A first score can be determined for the first term. The first score can be based, at least in part, on a lifecycle of the first term. The first score can be assigned to a first data value. The first data value can be presented on the display.

An example system includes a processor that can generate a first lineage graph based on a first set of monitored assets and processes used to produce a data asset. The processor can detect a data quality issue at the data asset. The processor can also generate a second lineage graph including a second set of monitored assets and processes that produced the data asset with the data quality issue. The processor can further compare the second lineage graph with the first lineage graph to detect a potential root cause of the data quality issue. The processor can also further modify an asset or process corresponding to the potential root cause of the data quality issue.

Detecting potential root causes of data quality issues using data lineage graphs

Text including at least a first term can be presented on a display. An enterprise glossary is queried to identify other terms that match the first term. Data assets to which each of the other terms are linked and which include data values for the other terms can be identified. A first score indicating a level of relevance of the respective data asset to an enterprise is assigned to each of the data assets. A frequency distribution of the data values in the data assets is determined. Based at least on the first scores indicating the level of relevance of the respective data assets to the enterprise and the frequency distribution of the data values in the data assets, second scores are assigned to each of the data values. A plurality the data values which are assigned highest of the second scores are presented on the display.

Transform governance rules for a data asset to apply to a set of related data assets. Establishing a governance rule over a first data asset based on a second governance rule applied to either an upstream or a downstream data asset.

Establishing governance rules over data assets

Optimizing operational costs in a computing environment includes identifying high-cost jobs that are executed to generate one or more reports in the computing environment, identifying one or more reports the generation of which is dependent on the execution of the high-cost jobs, and culling at least a first job from among the high-cost jobs, in response to determining that a benefit achieved from the reports that depend on the first job does not justify costs associated with generating the reports.

Eliminating execution of jobs-based operational costs of related reports

Optimizing job scheduling in a data processing system includes determining a time factor associated with a report, determining one or more jobs that contribute to the report, and narrowing execution frequency of the one or more jobs based on the time factor of the report. The time factor provides information about timing details for data included in the report. The jobs are executed in a computing environment according to a time schedule.

Optimization of job scheduling in a computing environment

A computer implemented system for automatically determining a reliability score of a data report. The system includes a data structure indicative of data lineage that includes data assets flowing into a data report. The system further includes a processor configured to calculate trust scores for data assets based on characteristics of the data assets as well as a data report trust density score indicative of the reliability score of the report based on the calculated trust scores. The system further includes an output device configured to output the calculated data report trust density score.

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Efrat, Israel

Roger Kenneth Hecker