Oracle says, Autonomous Database is a mission-critical, converged database that runs transactional and analytic workloads. It automatically scales, tunes, patches, and secures all the workloads using machine learning to provide …
Data Management and Organizational Change Management – Part 01
For most organizations, improving data management practices requires changing how people work together and how they understand the role of data in their organizations, as well as the way they …
Big Data – Visualization Tools
Traditional tools in data visualization have both a data and a graphical component. Advanced visualization and discovery tools use in-memory architecture to allow users to interact with the data. Patterns …
Big Data – Activities
Define Big Data Strategy and Business Needs An organization’s Big Data strategy needs to be aligned with and support its overall business strategy and business requirements and be part of …
Big Data Characterized in terms of V’s
Volume: Refers to the amount of data. Big Data often has thousands of entities or elements in billions of records. Velocity: Refers to the speed at which data is captured, …
Data Science – Process and Iterative Phases
The Data Science process follows the scientific method of refining knowledge by making observations, formulating and testing hypotheses, observing results, and formulating general theories that explain results. Within Data Science, …
Data Quality Program – Implementation Guidelines
Typically, a hybrid approach works best – top-down for sponsorship, consistency, and resources, but bottom-up to discover what is actually broken and to achieve incremental successes. Improving data quality requires …
Data Quality – Tools
Tools should be selected and tool architectures should be set in the.planning phase of the enterprise Data Quality program. Tools provide a.partial rule set starter kit but organizations need to …
Data Management – What is Master Data?
Different types of Data play different roles within an organization. They also have different management requirements. Malcolm Chisholm has proposed a six-layer Taxonomy of Data that includes Metadata, Reference Data, …
Data Quality – Causes of Data Quality Issues – Part-01
Data Quality issues can emerge at any point in the data lifecycle, from creation to disposal. When investigating root causes, analysts should look for potential culprits, like problems with data …