Graph databases are distinguished by relationships. Users can query, for example, the connections that relate a customer to an account that he or she owns, or how many degrees of separation exist between Kevin Bacon and Audrey Hepburn. Ontologies are a key underpinning, providing a data model to describe things in a database. Metadata and […]
Case Study: CEMEX Works to Become a Data-Driven Company
Digital transformation is alive and well at CEMEX, a global leader in building materials. It started its journey two years ago, evolving from a traditional brick-and-mortar business model to a digital one where customer-centricity is the dominant factor over product-centricity. Now it needs to become an even more data-driven company, where its data powers digital […]
Designing an Efficient Hybrid Cloud Solution
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 […]
Enterprise Data Unification and Knowledge Graphs: Making Complexity Simple
A challenge for large businesses working with data is how to manage and unify it. Many companies, seeking to better utilize their data, collect massive amounts of data regarding their customers’ online activity, preferences, and demographics. This can lead to the development of vast data lakes. Without a screening process, a data lake will enable […]
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 […]
Database Management Updates and Latest Solutions
The word “database” may be one of the most misunderstood words in business computing. Several years ago, database meant a collection of data (or a base of data). As structured databases became popular, data became more and more organized. Structured databases were followed by the DBMS (database management system), which controls the data and how […]
What Matters Most with Data Governance and Analytics in the Cloud?
The axiom goes that the difference between high-performing enterprises and lower-performing businesses is that the former maximizes their data and the latter doesn’t. But most businesses probably still live somewhere between those two worlds. That means a lot of companies are still working hard to get to the next level for IT-supported business initiatives including […]