Data Modeling, the practice of diagramming Data Architecture and aligning core business rules with data definitions, will go through a refresh in 2023. Organizations will assess and make over their data fabrics, which describe distributed Data Management systems. Furthermore, managers and project teams will use data models to optimize business processes with their data assets and allocate resources to achieve […]
NoSQL Databases: Advantages and Disadvantages
NoSQL databases (aka non-relational databases) come with both advantages and disadvantages. On the plus side, they are more scalable than traditional relational databases and can store a variety of formats. Additionally, they are easy to use, and their flexibility can speed up development, especially in a cloud computing environment. NoSQL databases were developed as a […]
How to Democratize Data Science
Efforts to democratize Data Science can be described as creating an environment that allows people with little expertise to perform Data Science research. This approach can be especially useful for businesses desperate to access the skills of a data scientist, but unable to hire one. A variety of user-friendly analytics tools have become available to support staff […]
Data Architecture 101
The term “data architecture” is defined as a set of models, policies, rules, and standards governing data flow and management within an organization. Thus, data architecture, a subset of enterprise architecture, involves the operating rules governing data-related activities like data capture, data storage, data integration, and data usage. In other words, this collection of models, standards, […]
Developing a Digital Transformation Roadmap
Digital transformation is about more than just digital technologies. It is also about organizations adopting new cultures, structures, and processes that will align with IT architecture, leading to comprehensive digital solutions. A digital transformation roadmap is defined as a process illustrating how an organization can adopt digital technologies to meet business objectives. This roadmap includes a series of steps […]
Data Lineage and Data Quality: How They Intersect
The intersection of data lineage and Data Quality helps provide more accurate and useful information. Data Quality represents the accuracy of data. Internet businesses need good Data Quality to operate efficiently. Unfortunately, there can be obstacles in gathering, storing, and maintaining high-quality data. The use of data lineage can help eliminate those Data Quality obstacles by providing […]
Cloud Migration Best Practices
Organizations are migrating to the cloud because of various benefits: reduced administrative overhead, flexibility of expanding or contracting storage requirements at the push of a button, visible operational cost savings – and all without buying or retiring physical servers at the data center. An increasing number of enterprises and organizations see cloud migration not only […]
Data Literacy Skills Every Organization Should Build
Since we live in a data-driven world, companies with the appropriate talent to derive insights from business data do far better than their competitors. In today’s competitive global business landscape, modern businesses must treat their prime asset – data and data literacy skills – as a top priority to thrive and prosper in the global […]
Creating and Implementing a Metadata Strategy
Developing a metadata strategy is necessary for a growing business to maintain and improve efficiency. Metadata is a small amount of data that is used to identify a larger collection of data (images, text, files, digital objects). It is generated each time data is collected from its source, moved through a data system, accessed by […]
AI and Data Privacy: Where Do They Intersect?
According to new research from IBM, 35% of companies now use AI in their business. From health care to manufacturing to government, data-driven organizations across all major industries are realizing the benefits of AI: automation of repetitive tasks, faster processing of data, improved accuracy, and more. But as AI adoption becomes more widespread and advanced, business leaders […]