Click to learn more about author Gaurav Belani. There’s no denying that successfully navigating an enterprise through a transitional period is no easy task. As it turns out, most people are inherently fearful of change for one reason or another. In both our personal and professional lives, we seem to resist the new in an […]
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 […]
What Is Data Cleansing?
Data cleansing (aka data cleaning or data scrubbing) is the act of making system data ready for analysis by removing inaccuracies or errors. This process prevents questionable and costly business decisions based on messy data. Data volumes and sources have grown much bigger and are expected to scale up even quicker. Companies wish to access […]
The Hybrid Approach to Responsible AI
Click to learn more about author Luca Scagliarini. Artificial intelligence (AI) is on an upward growth trend and there is no sign it will level off any time soon. Recent research by Fortune Business Insights suggests the market will jump nearly tenfold from $27.23 billion in 2019 to $266.92 billion by 2027. This represents a staggering […]
The Connection Between Good Data Management and Enterprise Agility
Click to learn more about author Russ Ernst. The word “agile” is defined in one dictionary as “quick and well-coordinated in movement; lithe.” During the last two years, however, the word has taken on an entirely different meaning for companies navigating the complexities of a pandemic. As the realities of a highly contagious virus set in and hundreds of thousands […]
The Little Red Data Hen – A Cautionary Tale
Click to learn more about author Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management, such as master data, the difference between master data and MDM, “truth” versus “meaning” in data, Data Quality, and so much more. […]
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 […]
What Is the Karl Pearson Correlation and How Is It Useful for Enterprise Analysis?
Click to learn more about Kartik Patel. This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. A positive correlation indicates the extent to which those variables increase or decrease in parallel. A […]
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 […]
Why the Future of Bots Relies on Regulation
Click to learn more about author Or Lenchner. How do we define bots? Why were they developed? Bots are about enhancing efficiency, and efficiency can be used to free up resources for further growth. They automate manual work to make us faster. What was once a day-long or even week-long task is now reduced to mere […]