Metadata Management implies a set of activities, which administer data for better usage and outcomes. Thus, this practice involves establishing stringent roles, responsibilities, policies, and processes to ensure that data-driven information is available, accessible, sharable, and maintainable across an organization for the best analysis and application of such information in daily business. In that sense, Metadata […]
An Introduction to Metadata Management
Click to learn more about author Sowmya Tejha Kandregula. According to IDC, the size of the global datasphere is projected to reach 163 ZB by 2025, leading to the disparate data sources in legacy systems, new system deployments, and the creation of data lakes and data warehouses. Most organizations do not utilize the entirety of the data […]
Press Release: Agenda Announced for the Sixth Annual Enterprise Data Governance Online
December 9, 2020 – DATAVERSITY Education, LLC announced the agenda and opened registration today for the 2021 Enterprise Data Governance Online (EDGO). This free online event will take place on January 27, 2021, from 8:00 a.m. to 2:30 p.m. Pacific Time. For more details about the event, visit datagovernanceonline.com. EDGO is designed to teach anyone working with […]
Data Quality Then and Now: What’s the Difference?
Click to learn more about author Emily Washington. Each year we undergo significant transformation in the information technology (IT) industry. However, 2020 is a year for the history books. Evolution in IT usually happens organically. As priorities change, so do technologies, processes, people, and techniques. When the term “big data” became mainstream last decade, IT […]
What Is Data Discovery?
Data discovery describes processes in understanding data sets on hand for data integration and/or data analysis. This step occurs in design and should combine technical search from tools with subject matter expertise, from people. During data discovery, a high-level view is taken in assessing data preparation, or data quality needs. Data discovery can be broken […]
Metadata Repository Essential Use Cases
“Even though we’re working with very sophisticated Data Science resources, we still hear over and over, ‘I don’t even know what data is available,’” said Susan Swanson, the Senior Manager of Data Modeling and Architecture at Health Care Service Corporation (HCSC), an organization that offers regional health care coverage and services. Speaking at the DATAVERSITY® […]
Revolutionizing Your Data Catalog with Automated Metadata and Lineage
Click to learn more about author Emily Washington. In recent years, enterprise data across multiple industries has led to groundbreaking innovation: In the utility industry, energy companies build consumer portals for sharing energy-saving information, supporting the customer by cutting energy costs and protecting the environment. Financial institutions build modern applications and analyze client financial records […]
Business Intelligence Meets Metadata Challenges
Many BI managers, CEOs, and CIOs cannot afford to add more staff, so they are seeking technologies that can help their existing teams operate more accurately and efficiently. They “need to change the physics, as we call it. They can’t just add more people to the team,” said Amnon Drori in a recent DATAVERSITY® interview. […]
Decoded Data Lineage Helps Tackle Bad Data Quality
What are your outcome expectations of data lineage? No one’s just doing it for fun, after all. Generally speaking, data lineage is a major asset for: Regulatory reporting/governance; trust in decision-making; and, on-premise to cloud migrations. Data lineage tools track business data flow from originating source through all the steps in its lifecycle to destination. […]
Data Governance Trends in 2020
Data Governance always has been a complicated issue for most organizations. That won’t change in a big way in 2020. In fact, the increasing prevalence of technologies like artificial intelligence (AI) and machine learning (ML) may show up some of the pains even more. Don’t take that to mean that companies aren’t becoming more mature […]