Metadata is of critical interest in today’s data-driven business environment, and there is a growing awareness of the need for both business and technical users to embrace it, says Donna Burbank, Managing Director of Global Data Strategy and author of “Data Modeling for the Business” and “Data Modeling Made Simple.” Speaking at a previous Data Architecture Online conference, Burbank talked about practical […]
Building a Modern Data Platform with Data Fabric Architecture
In today’s data-driven landscape, organizations face the challenge of integrating diverse data sources efficiently. Whether due to mergers and acquisitions (M&A) or the need for advanced insights, a robust data platform with streamlined data operations are essential. Shift in Mindset Data fabric is a design concept for integrating and managing data. Through flexible, reusable, augmented, and […]
Mitigating Risks and Ensuring Data Integrity Through Legacy Modernization
Legacy systems are the backbone of many businesses, especially those in the industry for decades. These systems ensure a stable and reliable platform for conducting smooth business operations. However, decade-old legacy systems can also pose risks and challenges to data integrity that can affect an organization’s overall growth and success. In response to these challenges, […]
Mind the Gap: Analytics Architecture Stuck in the 1990s
Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored the data chasm. This month, we’ll look at analytics architecture. From day one, data warehouses and their offspring – data marts, operational […]
Why Your Business Needs Data Modeling and Business Architecture Integration
In the contemporary business environment, the integration of data modeling and business structure is not only advantageous but crucial. This dynamic pair of documents serves as the foundation for strategic decision-making, providing organizations with a distinct pathway toward success. Data modeling provides organization to your facts, whereas business architecture defines the operational mechanisms of your […]
Understanding the Modern Data Stack
The modern data stack is a collection of tools used to collect, store, and analyze data. Understanding the components of a modern data stack is crucial in grasping how contemporary data ecosystems function. At its core, data engineering plays a pivotal role by focusing on the practical application of data collection, storage, and retrieval. This discipline ensures […]
Unlocking the Power of Data with Process Mining
Data is invaluable to an organization, but it can also represent a major stumbling block if an enterprise hasn’t optimized how data is used to support processes that run operations. Process mining can play a role in helping organizations get an objective and detailed view of process flows – including fixing bottlenecks and delays that […]
Data Warehouse vs. Database
What are data warehouses and databases? How are they different, and when should you use a data warehouse vs. database to store data? Below, we will look at the differences and similarities between them. What Is a Database? In a database, data is presented in a structured manner for easy access and manipulation. Vast amounts […]
Keeping Cloud Data Costs in Check
Cloud data workloads are like coffee: They come in many forms and flavors, each with different price points. Just as your daily cappuccino habit will end up costing you dozens of times per month what you’d spend to brew Folgers every morning at home, the way you configure cloud-based data resources and run queries against […]
How to Become a Data Engineer
The work of data engineers is extremely technical. They are responsible for designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic infrastructures to data warehouses. A data engineer needs to have a solid understanding of commonly used scripting languages and is expected to support the steady evolution of improved Data Quality, […]