Adopting a hybrid cloud philosophy can provide businesses with the opportunity to gain a competitive advantage. A hybrid cloud is the concept of working with both an on-premise private cloud and various public clouds. While cost reduction is a primary goal, businesses also benefit from gaining a flexible IT infrastructure and significant scalability. The tools […]
How Will Future Data Scientists Augment Machine Intelligence?
Our future will rely on advanced technologies like Data Science (DS) and machine learning (ML). These technologies not only enable people to convert machine language into comprehensible human language and improve images, but they also help us understand past incidents, shape the present outcomes, and accept the inevitability of future events. The future potentials lie […]
Data Management vs. Data Virtualization
Data Management, as a principle, requires that data is brought to a single place, governed actively, and available in real time. It also includes the trust needed for business users to perform day-to-day business functions and to do it better than the competition. Data needs are contextual and based on the role of the user. […]
Machine Learning at the Center of Quality Data Integration
Machine learning, as we know, isn’t magic, though it may seem that way sometimes. But it can be at the center of enterprise data integration and cross-domain Master Data Management efforts that may deliver millions of dollars in cost savings and other benefits. In the case of large organizations that have gone through multiple acquisitions, […]
The Data Fabric: An Innovative Data Management Solution
Business leaders are facing market pressure to extract value from their data pipelines within the constraints of limited budgets, time, and skills. Data is so diverse and massive it poses constant management challenges to business operators. Moreover, as it steps out of firewalls, business data now raises fresh security concerns for all businesses. In such […]
Unifying Big Data Workloads
Try querying Big Data sets and computing results through high volumes and variety across multiple independent storage systems – you’ll find a tangled web in the Tower of Babel, where platforms communicate in different languages. Then ask for speedy manipulations with that data set and it seems almost impossible. This describes the challenge faced by […]
Data Governance vs. Master Data Management
“Data Governance is the creation of rules, the execution of those rules, and the adjudication of any violation of the rules,” remarked Frank Cerwin in a recent DATAVERSITY® interview. He likened its structure to the three branches of the government: “The legislative branch makes the laws, the executive branch executes the laws, and the judicial […]
Handling Complex Data Storage with Blockchain and the Cloud
Blockchain technology, a distributed and secure database system, has been making significant advances since it first started gaining popularity a few years ago. It started out in the cryptocurrency world, but is also finding considerable usage in banking and finance, as well as asset settlement. But, can blockchain also be used for other use cases […]
Get Ready for DataOps
An emerging discipline called DataOps is taking a page out of the DevOps playbook. The latter is all about accelerating the time to software delivery, and the former about accelerating data flow. And just as DevOps replaces the waterfall method of software delivery, DataOps replaces the waterfall approach of delivering data to the data consumer. […]
Cloud Computing Challenges: Navigating the Multi-Cloud Landscape
Public clouds have become popular as a solution for many data-driven projects around Big Data, Business Intelligence and Analytics, as well as specialized projects, such as Machine Learning and AI. Cloud providers normally offer significant scalability and advantageous, user-friendly tools. Migration to the cloud is considered to be cost-effective, making it an excellent choice for […]