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 – […]
Graph Technology: The Next Chapter of Data Insights and Intelligence
Hospitals are one of the best examples to spotlight the complexities of unstructured data. From physicians’ notes in EHRs, emails, text files, photos, videos, and other files, the majority of patient data cannot be read by machines. Research firm IDC estimates that upwards of 80% of data will be unstructured, growing from 33 zettabytes in 2018 to 175 zettabytes […]
Open-Source Cloud Databases: Security Best Practices
A cloud database runs on a cloud computing platform that delivers it to users as a service. Cloud services offer various cloud databases, including SQL and NoSQL databases. Here are the two main cloud database deployment models: Use a virtual machine (VM) to run your databases on the cloud privately Purchase access to a database […]
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 Advisors. Bradley spoke at the DATAVERSITY® Data Architecture Online conference about the purpose of Data Modeling and its role in Data Governance and the modern successful business. Big Data: Are […]
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 process all that data. This article provides an overview of database management, how it has evolved – especially during the COVID-19 pandemic – and the future of database management systems. What Is […]
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 three versions of it. When the term is applied to databases, it describes data consistency within the database. When used with computing strategies, data consistency is focused on the use of […]
Modern Databases Shouldn’t Make You Choose Between Control and Automation
Today’s businesses rely on databases more than ever. Most applications need a database, from customer service and supply chain systems to e-commerce and retail delivery. Modern applications are often made up of multiple microservices that may each require their own database to maintain availability, flexibility, and performance. As a result, the sheer number of databases that organizations […]
DataOps: What It Is and What the Enterprise Gets Wrong
By 2025, the total amount of data created, captured, copied, and consumed globally is projected to reach more than 180 zettabytes. With this rapid growth, the ability to harness data for business impact is even more vital. To keep up with the exponential data growth and resulting challenges, data teams must adjust the way they operate. […]
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 data to be stored and researched using the data’s relationships. However, the term “Data Modeling” has expanded to include software engineering. A well-designed database (or app) makes the system more efficient, reduces […]
12 Benefits of Data Sharing via APIs
Data sharing is a hot topic. Multiple analysts and consultancies have been featuring data sharing as one of the key enablers to successful business partnerships and accelerated growth. Both Gartner and McKinsey have good articles; indeed, Gartner boldly claims that “data and analytics leaders who share data externally generate three times more measurable economic benefit than those who do […]