… and your data warehouse / data lake / data lakehouse. A few months ago, I talked about how nearly all of our analytics architectures are stuck in the 1990s. Maybe an executive at your company read that article, and now you have a mandate to “modernize analytics.” Let’s say that they even understand that just […]
Scaling Out to Keep Data Out of the Lost and Found
How much data would you be comfortable with losing? In the world of high-performance computing (HPC), the simple answer should be none. Given that HPC systems involve massive amounts of data, any loss – whether big or small – can have a catastrophic impact on customer and shareholder relationships, finances, complex simulations, and organizational reputation. Any system lacking in […]
Cloud Transition for Startups: Overcoming Data Management Challenges and Best Practices
For startups, transitioning to the cloud from on-prem is more than a technical upgrade – it’s a strategic pivot toward greater agility, innovation, and market responsiveness. While the cloud promises unparalleled scalability and flexibility, navigating the transition can be complex. Here’s a straightforward guide to overcoming key challenges and making the most of cloud computing. Streamlining […]
Cutting Hidden Costs: Optimizing Data Management for Financial Efficiency
In the face of rising costs and rapid technological advancements, businesses must streamline their operations to remain competitive. An often overlooked area in these cost-cutting initiatives is data management. While many companies focus on reducing expenses related to infrastructure – such as virtual machines and serverless architectures – data management costs frequently go unchecked until […]
Leveraging Data to Unlock Hidden Growth with Data Mesh, Data Fabric, and Knowledge Graphs
Among business leaders today there is a persistent fear of missing out on something transformative. They know they are sitting on a goldmine of data; they know this data could conceivably be turned to profitable ends. What they struggle to do is leverage this data. And the more time they waste, the worse the problem gets because […]
Combining Data Mesh and Data Fabric
Data silos represent a major business challenge, as noted by 60.9% of organizations in a recent Trends in Data Management survey. Without shared information, companies risk duplication, poor data quality, and missed opportunities for innovation. Consequently, many companies turn to modern and integrated data architectures. When doing so, organizations often consider two main approaches: data mesh and data fabric. Data […]
Enterprise Data World 2024 Takeaways: Trending Topics in Data Architecture and Modeling
I was privileged to deliver a workshop at Enterprise Data World 2024. Publishing this review is a way to express my gratitude to the fantastic team at DATAVERSITY and Tony Shaw personally for organizing this prestigious live event. Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. Part […]
Integrate Data Architecture with Business Operations to Boost Success Now
In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success. There is a symbiosis between sophisticated data architectures and operational agility that demonstrates how this integration facilitates real-time decision-making, predictive analytics, and personalized customer experiences. As IT professionals amalgamate data architecture and business operations, they analyze […]
Data Architecture Best Practices
The term “data architecture” refers to a collection of implementable standards and protocols that govern the collection, storage, preparation, sharing, and distribution of data. This predefined set of standards and protocols is designed to enhance the scope and purpose of data analysis in the busy business environment. One major problem with traditional data management systems […]
Implementing Data Fabric: 7 Key Steps
Understanding the importance of data integration is vital in the intricate process of implementing a data fabric. Data fabric architecture aims to create a unified and integrated environment for managing an organization’s data sprawl across various platforms and systems. Within this context, the data integration step ensures disparate data sources are seamlessly connected, enabling a fluid exchange […]