According to Pat Patterson, Community Champion at StreamSets, “data drift” is such a problem now that “only about one fifth of a data analyst’s time is actually spent analyzing the data.” The remainder is spent “wrangling it into shape and getting it from where it is to the actual analysis platform.” Speaking at the Enterprise […]
Fundamentals of Robotic Process Automation and Data Management
Data Management software is essential to providing organizations with critical insights about their customer’s behavior. Robotic process automation (RPA) is a process in which software programs perform repetitive Data Management tasks, such as data validation, email responses, normalization, and metadata organization. Put another way, RPA automates the mundane. It does this by observing and imitating […]
Demystifying Metadata Management
As advanced analytics becomes a prominent driver of revenue in the data-driven age, technologies are needed to help provide a context to data. Business leaders and the global Data Science community have realized that businesses need appropriate technology to comprehend the context of business data. In addition to Data Governance, the Data Management strategy that […]
Blockchain Use Cases
Blockchain, which is akin to a distributed and decentralized accounts ledger, can record and verify high volumes of digital transactions, irrespective of location. So, blockchain has the capacity to contribute to many industry sectors, besides finance. As a secure technology platform, blockchain’s main benefits are accuracy, protection against fraud, and easy sharing of information. The […]
Fundamentals of Data Stewardship: Frameworks and Responsibilities
If organizations must have Data Stewardship, but struggle with deploying valuable Data Stewardship programs, how can companies mitigate the challenges and get better results faster? The Art of War, by the Chinese military general Sun Tzu, provides insight. He advised, “strategy without tactics is the slowest route to victory. Tactics without strategy is the noise […]
A Brief History of Metadata
Metadata is a small amount of data designed to provide reference information about other data. For example, in 280 BC, the Great Library of Alexandria attached a small, dangling tag to the end of each individual scroll. The tags gave the title, subject, and author, allowing library users to assume the content, without having to […]
Data Strategy vs. Data Architecture
“Data Leadership is about understanding the organization’s relationship with data and seeking ways to help the organization meet its goals using whatever tools are available,” said Anthony Algmin, of Algmin Data Leadership in a DATAVERSITY® interview. Within that overall Data Leadership Framework, sit Data Strategy and Data Architecture as individual disciplines. Data Strategy Companies often […]
So You Want to Be a Data Engineer?
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. Data engineers need to have a solid understanding of commonly used scripting languages and are expected to support the steady evolution of improved Data Quality, […]
Case Study: Department of the Interior Lays Out Steps for Metadata Implementation
After the U.S. Office of Management and Governance issued the Open Data Policy, federal agencies set to the task of developing Enterprise Data Inventories to support a mandate of government transparency. The Department of the Interior (DOI) took this opportunity to create and implement a Metadata Management framework using an enterprise approach, properly documenting data […]
Data Architecture with Data Governance: A Proactive Approach
“Data Architecture is the physical implementation of the Business Strategy,” said Nigel Turner, Principal Consultant in E.M.E.A. at Global Data Strategy, Ltd., speaking at the DATAVERSITY® Enterprise Data Governance Online Conference. “It’s a key part of the whole continuum that you need to build within an organization to manage data effectively,” and Data Governance forms […]