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Category Archives: Big Data
Self Service Semantic BI (Business Intelligence) Concept
The key is to link source data in the Enterprise via a Business Vocabulary from MDM to the Source Data Metadata Vocabulary from a Metadata Mart to conform the triples collected internally and externally. Continue reading →
Posted in Big Data, Data Governance, data profiling, ETL, Mdm, MDS, MDS Stored Procedures, Metadata Mart, Self Service Semantic BI, SSIS
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Tagged Big Data LinkedIn Science OLAP Agile SCRUM Extreme Scoping BI Data Quality Metadata Mart, Business Discovery, data lineage, Data profiling, JSOM-LD, metadata mart, RDFa, Self Service Semantic Business Intelligence, semantic web, Triple store
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Creating a Metadata Mart via TSQL – Complete Data Profiling Kit – Download
With Data Profiling “You get what you inspect, not what you expect” Readers Digest. Complete Data Profiling Kit (Code and Samples) providing capabilities similar to leading vendor tools, such as Informatica, Data Stage, Dataflux etc… Continue reading →
Agile MDM Data Modeling and Requirements incorporating a Metadata Mart.(Guerilla MDM)
Recently an acquaintance of mine asked about my thoughts on the approach for creating a MDM data model and the requirements artifacts for loading MDM. I believe with this client and with most clients that the first thing that we … Continue reading →
Posted in agile, Awarement, Big Data, data profiling, extreme scoping, Mdm, Metadata Mart
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Fast, Data Driven Netezza Load – The Prittie Good Approach
A few years ago I have a client that required migrating and re hosting a data warehouse from the Oracle environment to the Netezza Appliance. The application had hundreds of tables and almost 2900 Source to Target Mappings. This would … Continue reading →
Posted in Big Data, data profiling, ETL, Metadata Mart, SSIS
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Tagged BIG DATA, ETL, METADATA.DATA DRIVEN, NETEZZA, SSIS
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MAD Skills: New Analysis Practices for Big Data
I have had my first exposure to MAD Skills: New Analysis Practices for Big Data , very interesting approach , in many ways an extreme expansion of the concept for operational analytics via OLAP. The use of the “Sandbox” environment … Continue reading →
