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@@ -10,6 +10,46 @@ Read all section in Chapter 10.
 * discuss, in detail, the ETL process for data integration used in the reconciled data layer of data warehousing;
 * discuss the data transformation functions.
 
+Data quality:
+
+* identity uniqueness
+* accuracy
+* consistency
+* completeness
+* timeliness
+* currency
+* conformance
+* referential integrity
+
+
+Extract-transform-load (ETL)
+
+1. map source to target and metadata management
+2. extract
+3. load
+4. tranformation
+
+
+> Data governance: high level organizational groups and processes that oversee data stewardship across the organization.
+> It usually guides data quality initiatives, data architecture, data integration and master data management, data warehousing
+> and business intelligence, and other data-related matters.
+
+
+> Data steward: A person assigned the responsibility of ensuring that organizational applications properly support the organization's enterprise goals for data quality.
+
+
+Data governance program needs:
+
+* sponsorship from both senior management and business units
+* a data steward manager to support, train and coordinate the data stewards
+* data stewards for different business units, data subjects, source systems or combinations of these elements.
+* a governance committee, headed by one person,
+  but composed of data steward managers,
+  executives and senior vice presidents,
+  IT leadership, and other business leaders,
+  to set strategic goals, coordinate activities,
+  and provide guidelines and standards for all data management activities.
+
 ## Section 2: Data Administration and Database Administration
 
 Read all sections of Chapter 11: "Data and Database Administration."