
Foundations of Data Extraction Transform Load (ETL)
Data extraction, transformation, and loading processes enable many activities in information technology projects. Understanding the concepts and practices of ETL is essential for all data
Data extraction, transformation, and loading processes enable many activities in information technology projects. Understanding the concepts and practices of ETL is essential for all data
Every organization needs a business architecture – the blueprint that explains the structure of the enterprise capabilities, business processes, and information exchanges, connecting strategy with
Every effective enterprise data strategy should consist of an analysis of the organization’s people, processes, technology, and organizational structure – and follow proven implementation steps.
Communication and miscommunication affect projects and so much more. There are simple steps anyone can take to improve all communications Most people have witnessed situations
Continuing Education can support every professional, in every industry. Data Management professionals must be ready and willing to learn continually so they can maintain their
Although the need for regulatory compliance may seem to negate the ability to become or remain agile, many organizations have discovered they can adopt and
Organizations that want to realize the value of their data and information as enterprise assets should consider forming and sustaining an Enterprise Data / Information
Preparing a data warehouse testing strategy can ensure the successful development and completion of end-to-end testing of any data warehouse, data mart, or analytical environment.
Data services support the emergence of data offices and data-centric architectures to allow organizations to develop opportunities for improved data management and usage Data Service
Data warehouse and data integration testing should focus on ETL processes, BI engines, and applications that rely on data from the data warehouse and data
A Data Office has become a reality as part of many organizations’ enterprise architecture frameworks. A data office can support moving the organization toward a
It is important to connect program-level agile frameworks with data and analytics delivery and the variety of application programs that will benefit from agile, flexible
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