In 2024, companies have developed a renewed interest in the benefits of Data Modeling, engaging in pragmatic planning and activities around diagramming requirements. Organizations want to document data architectures to get good Data Quality and overcome challenges. Notably, the resolution to each data incident has risen significantly by 15 hours between 2022 and 2023. Furthermore, 80% of data executives and business leaders say cultural impediments […]
Hybrid Architectures in Data Vault 2.0
Are you drowning in data? Feeling shackled by rigid data warehouses that can’t keep pace with your ever-evolving business needs? You’re not alone. Traditional data storage strategies are crumbling under the weight of diverse data sources, leaving you with limited analytics and frustrated decisions. But what if there was a better way? A way to […]
The Cool Kids Corner: Data Mesh and Enabling Your Data Story
Hello! I’m Mark Horseman, and welcome to The Cool Kids Corner. This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month, we’re talking about data mesh. Data mesh represents a federated model of running your data program. While the term is largely […]
Data Architecture Trends in 2024
Data Architecture, the corporate infrastructure connecting business and data strategies, will face competing priorities in 2024. On the one hand, nearly half of organizations will gravitate toward modernizing their data architectures to increase operational real-time analytics and enable AI and ML (machine learning) capabilities. Simultaneously, with concerns about AI impacts, about 80% will prioritize security and Data Governance in […]
Cloud Repatriation Is Cutting Costs and Shifting Data Management Plans
The great migration from the data center to the cloud began with the creation of Amazon Web Services in 2006. By 2021, 96% of companies had made the cloud part of their Data Management plan, leveraging cloud-based services to support their digital infrastructure. The cloud promised greater mobility, flexibility, scalability, and security, all of which businesses wanted. As a […]
What Is a Data Catalog? Types, Benefits, Uses
A data catalog inventories and makes critical datasets available through metadata management. This platform informs businesspeople about what dataset assets exist and are related, where to find them, when they appeared, who created them, and how to access them, among other insights. As centralized repositories, data catalogs aim to be relevant to users across an organization, […]
Conceptual vs. Logical vs. Physical Data Modeling
Businesses face lightning-fast and massive data growth “at a time when analytical capabilities cannot even come close to meeting them,” said Dr. Peter Aiken at his recent Data-Ed webinar, “Conceptual vs. Logical vs. Physical Data Modeling.” An acknowledged Data Management authority and president of DAMA International, Aiken explained that a lack of understanding and documentation of a company’s Data […]
Elements of a Modern Data Warehouse
Businesses are generating vast amounts of information every second. Traditional data warehouses, which were once considered the gold standard for handling and analyzing large datasets, are struggling to keep up with the rapid pace of data growth and evolving analytics requirements. This has given rise to the concept of modern data warehouse, which provides a […]
What Is Data Architecture? Components and Uses
Data Architecture describes the infrastructure that connects a Business Strategy and Data Strategy with technical execution. Ideally, Data Architecture happens within a systematic framework, providing a foundation for people and systems to work with data. Three types of components underlie the architecture infrastructure and connect to drive insights, make data-driven decisions, and manage risk. They include: Specific examples of […]
Unlocking the Power of Data: Transforming Data Architectures in the Next Data Cycle
As the world becomes ever more data-driven, enterprises and public sector organizations increasingly realize the limitations of relying solely on structured data to gain insights into their business. The next data cycle demands a shift in data architectures that also encompasses the harnessing of unstructured data. In this article, I will shed light on the […]