A data mart is a subset of a data warehouse designed to service a specific business line or purpose. Data warehousing pioneer Ralph Kimball conceived of data marts to “begin with the most important business aspects or departments.” This bottom-up dimensional approach creates a user-friendly, flexible data scheme that delivers reports rapidly, without having to […]
NoSQL Databases: The Versatile Solution for Continuous Intelligence
Most businesses tend to rely on relational database management systems (RDBMS) to provide business insight, including continuous intelligence. Cloud relational databases have improved computing power they bring to the table, to handle more massive amounts of data. However, relational databases, even ones in the cloud, face two issues. They have a harder time with the […]
What is a Data Modeler?
A data modeler is a person who models data or documents software and business system designs. By doing this, a data modeler translates business needs into technical specifications. Developers and other IT members benefit from this when creating new data systems and troubleshooting and maintaining them. Data models promote consensus among developers, customers, and other […]
Enterprise Data Literacy: Understanding Data Management
To truly understand data-as-an-asset requires Enterprise Data Literacy, an organizational capability to take, analyze, and use data to remain secure and competitive. But achieving a high Enterprise Data Literacy can remain daunting when business and IT interact together. All too often in the middle of a project sprint, IT gets stuck on a minor problem, […]
What is Canonical Data Modeling?
Canonical Data Modeling documents, using Data Modeling techniques, how messages or packets pass between different systems internally in the organization and across different company systems, to do e-business. Data sometimes vary, across systems, in their definitions. For example, a company may have defined “customer” for a data warehouse constructed 10 years ago and then characterized […]
What is Augmented Analytics?
Augmented analytics combines sophisticated machine learning (ML) and natural language processing (NLP) to enable users to extract intelligence more quickly and simply. In addition, this kind of automation guides the user toward new insights, through built-in trend pattern recognition and pattern recognition tools. Augmented analytics share the following characteristics: Smart data discovery tools assisting business […]
Unify Data Governance with Data Architecture
Think of an organization trying to create a single understanding of the information of the organization and the instances of that data around its estate. Consider different groups of people contributing to and using this model from different perspectives and varying reasons. And view this in the context of Data Governance, Data Architecture or Business […]
What is a Data Analyst?
Data analysts help businesses make better, more informed decisions by not only collecting and investigating data, but also translating the relevant information into useful observations for their customers, which can include technical staff, business teams, or leadership. In many organizations, data analyst and data scientist roles share similarities, but data analysts focus on speedily interpreting […]
What is Edge Computing?
Edge Computing uses a network of microdata stations to process and store Big Data locally, taking the concept of a distributed architecture to the next level. With the growth of sensor data from the Internet of Things (IoT), bottlenecks in network traffic, and the drawbacks of using Cloud Computing (such as spotty internet connection), Edge Computing […]
What is a Data Engineer?
Data engineers build Data Architecture through infrastructures and foundations. A data engineer is tasked with designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic frameworks to data warehouses. Responsibilities also include configuring, managing, and scaling data pipelines. Data engineers: Have a programming background (e.g. Java, Scala or Python) Emphasize distributed […]