A Data Engineering Guide reveals that while people often rely on the work of data engineers — depending on Siri for quick solutions or being enchanted by custom recommendations or promos — they often do not realize that these advanced tools can provide accurate results only because of the hard work put in by data […]
A Strategic Approach to Data Quality
“To tackle today’s Data Quality challenges, you need a more strategic approach,” said Nigel Turner, Principal Consultant, Global Data Strategy. Turner spoke at the DATAVERSITY® Enterprise Data Governance Online (EDGO) Conference about Data Quality Management, what it entails, and how to succeed by aligning it closely with two other disciplines. What is Data Quality Management? […]
Cloud Computing Trends in 2022
The global business environment has recently changed in many ways, from the pandemic to international supply chains issues and so many others, how we work and shop will likely never be the same. As a consequence, acceptance and use of cloud computing technologies has accelerated significantly – with eCommerce and working remotely as two cultural […]
Data Quality Challenges
The Data Quality and Data Management market is going through a paradigm shift where the focus has turned to the business user. Historically, business users have been at the mercy of over-burdened IT departments with limited resources, but IT is not to blame. Even with the simplest query, the answer used to be “It’ll be […]
Overcoming Data Governance Challenges with Best Practices
Jason Dye, Director of Enterprise Data Governance at Ally, says that sometimes Data Governance feels like a thankless job. “I’m struggling up this sandy godforsaken hill and then some guy’s standing on the sidelines going, ‘I don’t know what’s so hard about Data Governance. It’s easy.’” But that may be because Dye makes it look […]
Data Fabric vs. Data Mesh
In the hyper-connected world of the cloud and the Internet of Things (IoT), every computing network device is connected to another through a complex, interconnected network. This poses a serious challenge to future Data Management, as the ultimate goal of Data Management is the sharing of business data across disparate platforms and technologies. This article […]
Big Data Ecosystem Updates: Hadoop, Containers, and VMs Explained
Twenty years ago, a startup called VMware brought in business by providing a platform to create nonphysical machine virtualizations, such as Linux, Windows, and others. As server processing capacity increased, basic applications couldn’t maximize the use of all the abundant new resources. Enter Virtual Machines (VMs), designed to run software on top of a physical […]
A Brief History of Database Management
A database management system (DBMS) allows a person to organize, store, and retrieve data from a computer. It is a way of communicating with a computer’s “stored memory.” In the very early years of computers, “punch cards” were used for input, output, and data storage. Punch cards offered a fast way to enter data and […]
Artificial Intelligence, Machine Learning, and Data Protection
Artificial intelligence and machine learning techniques are altering the way organizations gather, process, and protect data. They are being used to gather massive amounts of information about internet users in the form of big data, and to secure and protect it. The challenge is how to maximize the use of big data, while simultaneously safeguarding […]
Seven Principles to Put DataOps into Practice
You’re going to hear a lot more about DataOps in the coming months and the next couple of years. That’s the word from DataKitchen co-founder Eric Estabrooks. You know something is gaining market traction when Gartner includes it in a hype cycle report. The research firm did just that for DataOps in its Hype […]