Data Quality Fundamentals
Understand key concepts, principles and terminology related to Data Quality.
Data quality is not necessarily data that is devoid of errors. Incorrect data is only one part of the data quality equation. Managing data quality is a never ending process. Even if a company gets all the pieces in place to handle today’s data quality problems, there will be new and different challenges tomorrow. That’s because business processes, customer expectations, source systems, and business rules all change continuously. To ensure high quality data, companies need to gain broad commitment to data quality management principles and develop processes and programs that reduce data defects over time.
Much like any other important endeavor, success in data quality
depends on having the right people in the right jobs. This course helps
you understand key concepts, principles and terminology related to data
quality and other areas in data management.
Data Management and Business Intelligence Consultant/Trainer with 16+ years of extensive work experience on various client engagements. Delivered many large Data Management projects (Data Integration, Data Quality, Data Governance, Metadata Management, Master Data Management, Data Security, Data Catalog etc) and trained numerous professionals on various tools and technologies. Extensively worked on all facets of Data Managment including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP.
Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools like Informatica Powercenter, SSIS, ODI and IDQ, Data Virtualization, DVO, MDM.
StartWhat are Data Quality Dimensions? (1:39)
StartConsistency Data Quality Dimension (2:26)
StartCompleteness Data Quality Dimension (3:11)
StartTimeliness Data Quality Dimension (1:52)
StartUniqueness Data Quality Dimension (13:03)
StartValidity Data Quality Dimension (1:31)
StartAccuracy Data Quality Dimension (1:18)
StartExamples to show all the Dimensions (2:16)