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Tag: Database Articles

A Guide to Time Series Databases

Time series databases (or TSDBs) are databases that have been optimized for processing time series data. Time series data is made up of data...

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The Business Glossary and Automated Metadata Tools

Automated metadata tools can be used to develop and build business glossaries, graphs, and data catalogs. By eliminating the human factor, metadata errors can...

How to Become a Data Engineer

In 2020, an estimated 64.2 zettabytes of data were generated globally, and by 2025, that number is expected to rise to 180 zettabytes. Considering...

Data Modeling and Data Models: Not Just for Database Design

“The main purpose of a data model is actually not to design a database—it’s to describe a business,”  said Christopher Bradley, information strategist at DMA...

The Future of Database Management Systems

As the amount of data generated globally grows exponentially, data-driven businesses are increasingly turning to more innovative database management systems to store, manage, and...

Measuring Data Consistency

Measuring data consistency can tell a researcher how valuable and useful their data is. However, the term “data consistency” can be confusing. There are...

Data Modeling Tools

Data Modeling tools assist in creating a data model. Data Modeling was initially the process of creating a framework within a database that allowed...

Databases vs. Hadoop vs. Cloud Storage

How can an organization thrive in the 2020s, a changing and confusing time with significant Data Management demands and platform options such as data warehouses, Hadoop, and the cloud? Trying to...

Semantic Technology Trends in 2022

Semantic technology trends are expanding well beyond an interesting, more advanced search engine. Besides providing scientists with a more functional search engine, semantic technology is now being used to improve artificial intelligence and machine learning. Semantic technology uses a variety of tools and methods designed to add “meaning” to a computer’s understanding of data. When […]

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Understanding Data Management Tools

Data Management tools are used to develop and monitor practices, as well as organize, process, and analyze an organization’s data. These tools are designed to arrange and harmonize data, and should provide a high degree of efficiency and effectiveness. Data Management tools also support privacy, security, and the elimination of data redundancy. Effective Data Management […]

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Conceptual Data Modeling: An Examination of Trends

John Singer wonders if Conceptual Data Modeling can save IT from itself.“I definitely think that we need a bit of saving. We need a little help in terms of how we build systems, especially from a data perspective.” Singer spoke at DATAVERSITY®’s Enterprise Data World Conference, about Data Modeling, current gaps in the field, and […]

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Knowledge Graphs: Context, Compliance, and Connections

“Graph is leaving a larger and larger footprint. And that is good,” said Thomas Frisendal in Knowledge Graphs and Data Modeling. Gartner named knowledge graphs as part of an emerging trend toward digital ecosystems, showing relationships among enterprises, people, and things, and enabling seamless, dynamic connections across geographies and industries. Elisa Kendall and Deborah McGuinness, […]

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Better Data Modeling with Lean Methodology

The process used today in systems development started with principles developed for assembly lines in the 1950s, when manufacturers wanted a more disciplined approach to producing goods and services.Products would come off an assembly line, they’d be inspected, defects would be found, and would be sent back to rework or start from scratch. This process […]

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