-
Recent Posts
- Artificial intelligence versus the theory of chaos
- Bright Insight – Lost City of Atlantis – Hidden in Plain Sight
- Aileron Technology
- Victoria (Whiteside) Stasiewicz – Bachelor of Science in Information Management – Herzing University 2018
- Chocolate cake, MDM, data quality, machine learning and creating the information value chain’
Recent Comments
Claudius Pereira on Bright Insight – Lost Ci… John Indelicato on DNA and the concept of MDM(Mas… Data Scoring when yo… on Creating a Metadata Mart via T… Data Profiling and D… on Creating a Metadata Mart via T… James Searle on Creating a Metadata Mart via T… Archives
- October 2019
- September 2018
- June 2018
- May 2018
- March 2018
- May 2017
- June 2016
- January 2016
- April 2015
- January 2015
- December 2014
- November 2014
- April 2014
- January 2014
- December 2013
- September 2013
- November 2012
- October 2012
- August 2012
- July 2012
- May 2012
- April 2012
- February 2012
- December 2011
- November 2011
- October 2011
- May 2011
- April 2011
- December 2010
- October 2010
- January 2010
- October 2009
- January 2009
- May 2008
Categories
- agile
- Awarement
- Big Data
- blocking index
- BrandonStasiewicz
- Christina Whiteside
- Computers and Internet
- Data Governance
- data profiling
- data quality
- data quality mart
- Diabetic Come
- Dimensional Model
- Dna
- Donal Farmer
- Download Complete Data Profiling Kit – TSQL
- ETL
- extreme scoping
- Extreme Scoping Agile SCRUM
- family
- Fuzzy Matching
- Gnostic
- God
- Gospel
- Guerilla MDM
- Guerilla MDS
- insulin
- Ira Whiteside
- Jack Stasiewicz
- Jacob Stasiewicz
- Julia Stasiewicz
- Kimball ETL (subsystem 1)
- Machine Learning
- Master Relationship Management
- Mdm
- MDS
- MDS Stored Procedures
- MelissaData
- Metadata Mart
- MRM
- Pavlov
- Plato
- PONS Stroke
- Quotes
- Self Service Semantic BI
- serverless
- Soul Mate
- SQL Saturday
- SQL Server Central
- SSIS
- stroke
- Table Variable TSQL
- Tessie Whiteside
- Theresa Whiteside
- Uncategorized
- Victoria Stasiewicz
- Yoda
Meta
Category Archives: ETL
Metadata Mart the Road to Data Governance
or Guerilla Data Governance Implementing a Metadata Mart the Road to Data Governance best viewed in PRESENTATION Mode, there is animation. This presentation has narrative, play in presentation mode with sound on. https://onedrive.live.com/redir?resid=E7059817CA5789D0!10028&authkey=!AE6eWl-gzh2mq_M&ithint=file%2cpptx
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
|
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
|
Leave a comment
Mastering Microsoft SQL Server tools required for EIM (MDS, DQS, Profiling and SSIS) – Complete Kit
Overview Understanding and mastering the various Microsoft SQL Server Tools available for Data Quality , Master Data Management , Fuzzy Matching and Enterprise Information Management can be daunting and exasperating. In the hopes of reducing the anxiety and … Continue reading →
Posted in data profiling, ETL, Extreme Scoping Agile SCRUM, Fuzzy Matching, Mdm, Metadata Mart, SSIS, Uncategorized
|
1 Comment
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
|
Tagged BIG DATA, ETL, METADATA.DATA DRIVEN, NETEZZA, SSIS
|
Leave a comment
