Master data is generally described as essential business data about people, places, and things. Master Data Management or MDM describes a system for managing the data, which is different than the actual data. Master data is not typically transactional data, but in some situations transactional data can be treated as master data. For instance, if […]
Artificial Intelligence and Enterprise Knowledge Graphs: Better Together
At the heart of things, an enterprise knowledge graph supports decision and process augmentation based on linked data. These models of knowledge domains are created by subject matter experts with the help of machine learning algorithms. They live as virtual data layers on top of existing databases or data sets to link both structured and […]
Graph Databases in the Spotlight
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 […]
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 […]
The Third Generation of Graph Databases
The graph database, very simply, is a database that recognizes the “relationships” between data to be as important as the data itself. A graph database is designed to hold data while not limiting it to a pre-established model. The data in such a database shows how each individual entity is connected with or related to […]
Case Study: Predictive Analytics and Data Science Keep an Eye on the Weather
Weather companies want to do their best so that consumers and businesses can have reliable forecasts – not just for the day but in advance of it. Accuracy matters to weather services such as the Weather Channel and AccuWeather and predictive analytics, along with Data Science, is allowing them to get more precise weather reports […]
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 […]
In-Memory Database Architecture: An Overview
In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]
A Brief History of the Hadoop Ecosystem
In 2002, internet researchers just wanted a better search engine, and preferably one that was open-sourced. That was when Doug Cutting and Mike Cafarella decided to give them what they wanted, and they called their project “Nutch.” Hadoop was originally designed as part of the Nutch infrastructure, and was presented in the year 2005. The […]
Data Governance vs. Blockchain
Data Governance is the hot topic in today’s security- and privacy-concerned digital ecosystem. Blockchain technology offers data-centered security to sensitive, transactional systems that require tamper-resistant, fully auditable tracking mechanisms. Thus, blockchain and Data Governance (DG) complement each other in many ways, while maintaining distinct operational philosophies and application turfs. Blockchain is today’s preferred technology for […]