CC6 - Chapter 1 = NOTES Flashcards
(51 cards)
manages computer databases. The role may include capacity planning, installation, configuration, database design, migration, performance monitoring, security, troubleshooting, as well as backup and data recovery.
Database administrator (DBA)
is responsible for maintaining an organization’s computer networks, including hardware and software. They ensure that networks are secure, efficient, and reliable.
network administrator
are data governance employees who collect and maintain data for the organizations they work for while also protecting their data assets.
Data stewards
is a leader who uses data to help a company make strategic decisions. They are responsible for integrating data from various sources to create a unified view.
data strategist
is a senior executive who manages a company’s data strategy and use. They are responsible for ensuring that data is used effectively to support business decisions.
Chief Data Officer (CDO)
- Ensure that data is accurate and of good quality
Data quality
- Protect data from unauthorized access, theft, or corruption
Data security
- Manage data governance strategies, practices, and requirements
Data governance
- Lead the development of a data strategy that aligns with business objectives
Data strategy
- Implement data analytics into business processes
Data analytics
- Promote data literacy and a data-driven culture
Data literacy
- Ensure compliance with data protection and privacy regulations
Regulatory compliance
Some examples of basic metadata are:
- author
- date created
- date modified
- file size.
is also used for unstructured data such as images, video, web pages, spreadsheets, etc. Web pages often include metadata in the form of meta tags.
Metadata
: Identify key business goals that data can support and prioritize data needs aligned with strategic initiatives.
Define Business Objectives
: Conduct a comprehensive data audit
to identify all data sources, their formats, locations, quality, and usage across the organization.
Data Inventory and Mapping
: Assess data accuracy, completeness
, consistency, and relevance to identify areas for improvement
.
Data Quality Analysis
: Identify key stakeholders
, their data requirements, and establish communication channels.
Stakeholder Engagement
: Develop clear guidelines
for data ownership, access control, data quality standards, retention policies, and privacy compliance
.
Establish Data Governance Policies
: Assign data stewards, data owners, and data custodians
with defined accountability for data management.
Data Governance Roles and Responsibilities
: Implement processes to monitor and improve data quality
through data cleansing, validation, and standardization.
Data Quality Management Plan
: Determine which data sources are critical for integration and prioritize based on business needs.
Data Source Selection
: Map data elements from different sources to a unified schema and transform data to ensure consistency.
Data Mapping and Transformation
: Select appropriate data integration tools to extract, transform, and load (ETL) data from disparate sources.
Data Integration Tools