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Category Archives: Download Complete Data Profiling Kit – TSQL
Data Governance Navigating the Information Value Chain Demystifying the path forward
Information Value Chain
• Business is based on Concepts.
• People thinks in terms of Concepts.
• Concepts come from Knowledge.
• Knowledge comes from Information.
• Information comes from Formulas.
• Formulas determine Information relationships based on quantities.
• Quantities come from Data.
• Data physically exist.
Merry Christmas Data Classification, Feature Engineering , Data Governance. ‘How to’ do it and some code take a look
Therefore I decided, to update some of the techniques and code patterns, I’ve used in the past regarding the information value chain and or record linkage , and we are going to make the results available with associated business and code examples initially with SQL Server and data bricks plus python Continue reading →
Posted in agile, Awarement, Big Data, blocking index, Data Governance, data profiling, data quality, data quality mart, Dimensional Model, Download Complete Data Profiling Kit - TSQL, ETL, extreme scoping, Extreme Scoping Agile SCRUM, Fuzzy Matching, Guerilla MDM, Guerilla MDS, Ira Whiteside, Machine Learning, Master Relationship Management, Mdm, Metadata Mart, MRM, Self Service Semantic BI, serverless, SQL Saturday, SQL Server Central, SSIS, stroke, Table Variable TSQL, Uncategorized
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Tagged Big Data LinkedIn Science OLAP Agile SCRUM Extreme Scoping BI Data Quality Metadata Mart, Business Discovery, data governance, data lineage, Data profiling, data quality, data quality mart, metadata mart
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DNA and the concept of MDM(Master Data Management) have many similarities.
Apply the science of DNA to Business MDM Continue reading →
Posted in agile, Data Governance, data profiling, data quality, data quality mart, Dna, Download Complete Data Profiling Kit - TSQL, Fuzzy Matching, Guerilla MDM, Mdm, Metadata Mart, Uncategorized
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Tagged data, Dna, fuzzy, Lineage, matching, MDM, Profiling
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Organic Data Quality vs Machine Data Quality
Awarement of data quality issues is business as usual, awarement of specific data quality is enlightenment. Continue reading →
Ira Warren Whiteside's Blog 