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Trends in Data Architecture

What role have Data Management and Data Architecture played in data-driven organizations, especially during the tumultuous and uncertain period at the beginning of the COVID-19 pandemic? Industry thought leader Donna Burbank, the Managing Director of Global Data Strategy, discussed these issues in her presentation Trends in Data Architecture at DATAVERSITY®’s Data Architecture Online conference last July.  Burbank shared insights from a 2020 […]

Data Quality Management 101

Data Quality Management is necessary for dealing with the real challenge of low-quality data. Data Quality Management can stop the waste of time and energy required to deal with inaccurate data by manually reprocessing it. Low-quality data can hide problems in operations and make regulatory compliance a challenge. Good Data Quality Management is essential for […]

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 these figures, it’s no surprise that data professionals are in high demand. Those who know how to create the Data Architecture to manage this data are the most in demand – […]

How to Become a DataOps Engineer

DataOps engineers are responsible for designing the data assembly line that allows data engineers and data scientists to gain insight from their analytics and research. DataOps engineers use processes and technologies to improve the speed and quality of projects being worked on. The DataOps philosophy can transform data teams, resulting in smaller development times, improved […]

Digital Transformation Best Practices

The term “digital transformation” (DT) encompasses the holistic framework and the associated strategy designed for integrating technology, business processes, and employee effort to get the maximum value for business customers. In a digitized business model, the “customer journey” is the central focus. While creating the DT framework, the business operators develop business models that are […]

Data Quality Metrics: How to Measure Success

Data Quality metrics are a measuring system that allows the “quality of data” to be evaluated. Data Quality metrics can be used to determine how useful and relevant data is, and it helps to separate high-quality data from low-quality data. It is much easier—and safer—to make business decisions based on reliable information. Poor information (based […]

Data Management 101

Data has the potential to provide useful and necessary information when making important business decisions. To ensure management and staff have the right data for decision-making, companies must invest in Data Management solutions that improve visibility, reliability, security, and scalability. In today’s digital economy, organizations are collecting and accessing massive amounts of data. Storing accurate, […]

Graph Databases: An Overview

The concept of graph databases traces back to Leonhard Euler. Euler was an 18th century Swiss mathematician who made several important discoveries in mathematics, such as infinitesimal calculus. In solving the “Seven Bridges of Königsberg” problem in 1736, Euler laid the foundations for graph theory. (He also got a fun shout-out in Hidden Figures when […]