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Data Virtualization: An Agile Approach to Data Integration

Click to learn more about author Tejasvi Addagada. Data virtualization can facilitate integration of data in an agile or a change-driven style. Virtualization provides unified access to disparate data sources and provides data consumers an edge in data provisioning. The lack of platform governance has led to siloes in data platforms hosting data. Data virtualization is all about introducing a logical layer between the data providers and the consumers. This logical…

Storage Management 101: Flexibility Matters

Click to learn more about author George Williams. This is the first in a series of articles that will focus on the basics of data storage management. This series of articles will share useful insights and tips to facilitate the data storage management journey for data center administrators and owners. In this article we’ll specifically talk about flexibility but for the sake of context, we’ll also shed light on what…

Bringing Immortal Data to Life

Click to learn more about author Stanley Zaffos. As our abilities to create digital twins or models of our business and manufacturing processes, the things we build, weather patterns, games, traffic flows, voting patterns, DNA, and chemical and nuclear reactions, etc. have improved. So have our ambitions. We are now on the path toward creating a digital twin or model of the world we live in. Since the world we…

Case Studies

What is...?

What is Analytics?

Analytics, is described as: “[An] encompassing and multidimensional field that uses mathematics, statistics, predictive…

What is Blockchain?

Blockchain is a distributed database and storage devices for the database are not all…

What is Data Discovery?

Data Discovery describes processes in understanding data sets on hand for Data Integration and/or…

What are Microservices?

Microservices are a flexible, single-purpose software program essentially compatible with any application. Think of…

Most Recent Articles

Case Study: Data Protection and HCI for Carrs Tool Data Architecture Upgrade

“Existing conditions” is a term for conditions that don’t last very long. Amazon changed the face of retail. Google democratized access to information. Facebook and pretty much every social media site has changed the way we interact with each other. Change came to Carrs Tool Steels, too. The U.K. supplier of tool steel and high-strength aluminum alloy products to manufacturers has seen its customers’ purchasing habits change from bulk-buying of…

Challenges of Data Governance in a Multi-Cloud World

Today, it would be really hard to find a business totally free of cloud services. In spite of battling centralized “no-cloud” policies in some enterprises, individual departments, work groups, and units are increasingly subscribing to services for data storage and backup, media services, CRM, hosted analytics, and more. Even developers are using Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) for testing and deploying applications. One fact is clear — cloud is here…

Developing a Data Strategy Template

Creating a Data Strategy, like a Business Strategy, is an art. In a Harvard Business Review article, Joshua Gans, professor at the University of Toronto’s Rotman School of Management, notes two typical errors made with a Business Strategy: spending too much time searching for the one true strategy and getting paralyzed by uncertainty — hence, not doing any planning. The same could be said about Data Strategy. Spend too much…

It’s Time to Productionize Data Science

To make Data Science part of business value creation, business users have to be part of the Data Science lifecycle. They need to be able to go back to Data Science teams and provide feedback so that the Data Science process reflects their requirements — and quickly. Models may need to be updated or functionalities automated, for instance. What businesses need is Data Science productionization. That’s the merger of creating…

So You Want to be a Data Governance Specialist?

A Data Governance Specialist is responsible for deploying and enforcing policies and procedures that ensure data is used and maintained properly. Some organizations confuse the title “Data Governance (DG) Specialist” with the title “Data Governance Manager.” The DG Specialist is not a member of upper level management and does not dictate policy. This person, however, must still have good communication skills, as they may be asked for feedback by managers,…

Enterprise Analytics Trends

Evan Terry, Chief Analytics Officer at Velocity Mortgage Capital said that enterprise analytics technology is increasingly sophisticated, due to machine learning, artificial intelligence (AI), and streaming analytics, but you can’t benefit from these advancements without a solid foundation. “There's a real interplay there between the foundational and the advanced.” Terry discussed these interplays during his Trends in Enterprise Analytics presentation at the DATAVERSITY® Enterprise Analytics Online Conference. Balancing Act Terry…

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