AK Productions found out why economical and efficient cloud storage leads to a better workflow. The freelance company does video production for businesses and individuals, including international brands like National Geographic and the World Bank. Aiden Korotkin, director of photography and editor, stays hands-on throughout each project. He shoots videos from start to finish, edits […]
Data Governance and Data Stewardship Drive Successful Glossaries and Dictionaries
It would be any data manager’s nightmare to run meetings that create pedantic and irrelevant business glossaries or data dictionaries, which eventually gather cyber dust. However, skipping over building and maintaining a good business glossary or data dictionary risks convoluted meanings, confusing communications, and business failures. What should a company do? Robert S. Seiner (Bob), […]
Building a Productive Organization with Artificial Intelligence
There’s plenty of research on employee productivity, which is key to building a profitable and successful business. Engaged employees are likely to put their heart into their jobs – not just go through the motions. Here are some findings that put this into perspective: Happy workers are 13 percent more productive, according to research by […]
Data-Centric Architecture: Find Value with a Data Platform Approach
Applications provide a way to capture raw data in forms and store it in databases, and automated processes make it possible to extract meaning from that data using application programming interfaces (APIs). The current process-centric mindset assumes that the value resides in the automated processing, yet the limitations and costs inherent in its reliance on […]
Graph Databases vs. Key-Value Databases
Graph databases and key-value databases have very different features and are used for accomplishing different tasks. Key-value databases are streamlined and fast, but are limited and not as flexible. Graph databases, on the other hand, are very flexible and great for research, but not terribly fast. Both typically use a non-relational foundation. The two key […]
Scaling the Analytics Team: Developing Key Roles
In an enterprise analytics team, different roles exist to fill different needs, and those needs must be met in order to be successful. Launching an analytics program doesn’t necessarily require a massive influx of personnel before producing usable insights from data, yet it’s important that critical roles are filled, whatever the size of the team. […]
Business Intelligence Meets Metadata Challenges
Many BI managers, CEOs, and CIOs cannot afford to add more staff, so they are seeking technologies that can help their existing teams operate more accurately and efficiently. They “need to change the physics, as we call it. They can’t just add more people to the team,” said Amnon Drori in a recent DATAVERSITY® interview. […]
Understanding DataOps
DataOps (data operations) has its roots in the Agile philosophy. It relies heavily on automation, and focuses on improving the speed and accuracy of computer processing, including analytics, data access, integration, and quality control. DataOps started as a system of best practices, but has gradually matured to a fully functional approach for handling data analytics. […]
Data Virtualization Use Cases
Data virtualization, in a nutshell, utilizes data integration without replication. In this process, a single “virtual” data layer is created to provide data services to multiple users and applications at the same time. Why Data Virtualization Is a Necessity for Enterprises explains how data virtualization helps tackle data movement challenges by making a virtual dataset […]
Hybrid Database Architectures Lead the Way
Hybrid databases have evolved in the last decade, with a focus on cloud environments. In 2013, Gartner created the term “Hybrid Transaction/Analytical Processing” (or HTAP), which is defined by Gartner as: “An emerging application architecture that ‘breaks the wall’ between transaction processing and analytics. It enables more informed and ‘in business real time’ decision making.” […]