SG10201909389VA - Data quality analysis - Google Patents

Data quality analysis

Info

Publication number
SG10201909389VA
SG10201909389VA SG10201909389VA SG10201909389VA SG 10201909389V A SG10201909389V A SG 10201909389VA SG 10201909389V A SG10201909389V A SG 10201909389VA SG 10201909389V A SG10201909389V A SG 10201909389VA
Authority
SG
Singapore
Prior art keywords
dataset
upstream
datasets
quality analysis
data quality
Prior art date
Application number
Inventor
Chuck Spitz
Joel Gould
Original Assignee
Ab Initio Technology Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ab Initio Technology Llc filed Critical Ab Initio Technology Llc
Publication of SG10201909389VA publication Critical patent/SG10201909389VA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/23—Updating
    • G06F16/2365—Ensuring data consistency and integrity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/21—Design, administration or maintenance of databases
    • G06F16/215—Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2455—Query execution
    • G06F16/24568—Data stream processing; Continuous queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/10—Text processing
    • G06F40/197—Version control
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F8/00—Arrangements for software engineering
    • G06F8/60—Software deployment
    • G06F8/65—Updates

Abstract

DATA QUALITY ANALYSIS A method includes receiving information indicative of an output dataset generated by a data processing identifying, on lineage relating the dataset, one or more upstream datasets on which the output dataset depends; analyzing one or of identified or upstream on the dataset depends. The analyzing includes, for each particular upstream dataset of the one or more upstream applying or of: a rule of allowable deviation between a profile of the particular upstream dataset and a reference profile for the particular dataset, (ii) second indicative one more values or prohibited values for each of one or more data elements in the particular upstream dataset, and based on the results of applying the one or more rules, selecting one or more of the datasets. method outputting associated the selected one or more upstream datasets. (Fig. 1)
SG10201909389V 2015-06-12 2016-06-10 Data quality analysis SG10201909389VA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US201562174997P 2015-06-12 2015-06-12
US15/175,793 US10409802B2 (en) 2015-06-12 2016-06-07 Data quality analysis

Publications (1)

Publication Number Publication Date
SG10201909389VA true SG10201909389VA (en) 2019-11-28

Family

ID=56178502

Family Applications (1)

Application Number Title Priority Date Filing Date
SG10201909389V SG10201909389VA (en) 2015-06-12 2016-06-10 Data quality analysis

Country Status (10)

Country Link
US (2) US10409802B2 (en)
EP (2) EP3839758B1 (en)
JP (3) JP6707564B2 (en)
KR (1) KR102033971B1 (en)
CN (2) CN117807065A (en)
AU (2) AU2016274791B2 (en)
CA (2) CA3185178C (en)
HK (1) HK1250066A1 (en)
SG (1) SG10201909389VA (en)
WO (1) WO2016201176A1 (en)

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Also Published As

Publication number Publication date
HK1250066A1 (en) 2018-11-23
US20160364434A1 (en) 2016-12-15
AU2019253860B2 (en) 2021-12-09
CA3185178A1 (en) 2016-12-15
JP2023062126A (en) 2023-05-02
KR102033971B1 (en) 2019-10-18
JP2018523195A (en) 2018-08-16
CN107810500A (en) 2018-03-16
JP6707564B2 (en) 2020-06-10
EP3308297A1 (en) 2018-04-18
KR20180030521A (en) 2018-03-23
EP3308297B1 (en) 2021-03-24
CA2988256A1 (en) 2016-12-15
AU2016274791A1 (en) 2017-11-30
CN107810500B (en) 2023-12-08
CN117807065A (en) 2024-04-02
JP2020161147A (en) 2020-10-01
WO2016201176A1 (en) 2016-12-15
US20200057757A1 (en) 2020-02-20
US11249981B2 (en) 2022-02-15
EP3839758B1 (en) 2022-08-10
US10409802B2 (en) 2019-09-10
AU2019253860A1 (en) 2019-11-14
EP3839758A1 (en) 2021-06-23
CA3185178C (en) 2023-09-26
AU2016274791B2 (en) 2019-07-25

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