One of the percentages to measure success of a records management system implantation is the percentage of the identified corporate records declared as such and put under records control.
DBAs exclusively perform all the activities of data storage and operations.
Data access control can be organized at an individual level or group level, depending on the need.
Effective data management involves a set of complex, interrelated processes that enable an organisation to use its data to achieve strategic goals.
Analytics models are associated with different depths of analysis, including:
A System of Reference is an authoritative system where data consumers can obtain reliable data to support transactions and analysis, even if the information did not originate in the system reference.
In an information management context, the short-term wins and goals often arise from the resolution of an identified problem.
Content management includes the systems for organizing information resources so that they can specially be stored.
Deliverables in the document and content management context diagram include:
The language used in file-based solutions is called MapReduce. This language has three main steps:
The accuracy dimension of data quality refers to the degree that data correctly respresents ‘real-life’ entities.
A deliverable in the data modelling and design context diagram is the logical data model.
There are three basic approaches to implementing a Master Data hub environment, including:
Data management professionals who understand formal change management will be more successful in bringing about changes that will help their organizations get more value from their data. To do so, it is important to understand:
Data professionals involved in Business Intelligence, analytics and Data Science are often responsible for data that describes: who people are; what people do; where people live; and how people are treated. The data can be misused and counteract the principles underlying data ethics.
Business Intelligence, among other things, refer to the technology that supports this kind of analysis.
A Global ID is the MDM solution-assigned and maintained unique identifier attached to reconciled records.
A e-discovery readiness assessment should examine and identify opportunities for the commercial response program.
The load step of the ETL is physically storing or presenting the results of the transformation into the source system.
What type of key is used in physical and sometimes logical relational data modelling schemes to represent a relationship?
A deliverable in the data architecture context diagram includes an implementation roadmap.
Data quality rules and standards are a critical form of Metadata. Ti be effective they need to be managed as Metadata. Rules include:
Customer relationship management systems manage Master Data about customers.
Once the most critical business needs and the data that supports them have been identified, the most important part of the data quality assessment is actually looking data, querying it to understand data content and relationships, and comparing actual data to rules and expectations.
The data-vault is an object-orientated, time-based and uniquely linked set of normalized tables that support one or more functional areas of business.
For each subject area logical model: Decrease detail by adding attributes and less-significant entities and relationships.
Reference data management entails the preventative maintenance of undefined domain values, definitions and the relationship within and across domain values.
Please select correct term for the following sentence: Any collection of stored data regardless of structure or content. Some large databases refer to instances and schema.
To build models, data modellers heavily rely on previous analysis and modelling work.
In the Data Warehousing and Business Intelligence Context Diagram, a primary deliverable is the DW and BI Architecture.
With reliable Metadata an organization does not know what data it has, what the data represents and how it moves through the systems, who has access to it, or what it means for the data to be of high quality.
Enterprise data architecture influences the scope boundaries of project and system releases. An example of influence is data replication control.
The Data Warehouse encompasses all components in the data staging and data presentation areas, including:
The best DW/BI architects will design a mechanism to connect back to transactional level and operational level reports in an atomic DW.
Data modeller: responsible for fata model version control an change control
The primary goal of data management capability assessment is to evaluate the current state of critical data management activities in order to plan for improvement.
The CAP theorem asserts that the distributed system cannot comply with all the parts of the ACID. A distributed system must instead trade-off between the following properties:
A goal of data governance is to enable an organisation to manage its data as a liability.
A controlled vocabulary is a defined list of explicitly allowed terms used to index, categorize, tag, sort and retrieve content through browsing and searching.
Data governance requires control mechanisms and procedures for, but not limited to, escalating issues to higher level of authority.
ISO 8000 will describe the structure and the organization of data quality management, including:
Bold means doing something that might cause short term pain, not just something that looks good in a marketing email.
The IBM Data Governance Council model is organized around four key categories. Select the answer that is not a category.
Time-based patterns are used when data values must be associated in chronological order and with specific time values.
Data professional should not balance the short-term versus long-term business interests.
Content refers to the data and information inside a file, document or website.
DAMA International’s Certified Data Management Professional (CDMP) certification required that data management professionals subscribe to a formal code of ethics, including an obligation to handle data ethically for the sake of society beyond the organization that employs them.