Enterprise infrastructures are never finished. Even when you think you have completed deployment and installed all the necessary applications, you must start over again, refining performance and adding new applications. Most IT executives rely on strategic portfolio management tools to manage strategy to execution. Managing application assets in the enterprise portfolio isn’t enough. You also […]
Data Lakes Are Dead: Evolving Your Company’s Data Architecture
You know you’re not getting the most out of your data. How can your company redesign its data architecture without making the same mistakes all over again? The data we produce and manage is growing in scale and demands careful consideration of the proper data framework for the job. There’s no one-size-fits-all data architecture, and […]
Applying the Principle of Least Privilege to Multi-Cloud Environments
Organizations across all industries are adopting cloud computing models for their flexible, scalable architectures and globally available solutions. Many startups and small businesses are also benefitting from the advanced data security solutions packaged with their cloud service provider offerings, which they wouldn’t otherwise be able to afford. However, these data security solutions require careful management. Organizations don’t […]
Data Mesh Architecture Fundamentals
A data mesh architecture is a network design that allows data to be routed across multiple paths between network nodes. Whereas traditional network designs routed data along a single path, data mesh architecture enables data to be routed simultaneously across multiple paths between nodes. This architecture provides several advantages over other architectures, such as a hub-and-spoke […]
Five Essential Data Architecture Principles
Data Architecture principles are a set of policies that govern the enterprise data framework with its operating rules for collecting, integrating, using, and managing data assets. The basic purpose of the Data Architecture principles is to keep the supportive data framework clean, consistent, and auditable. The overall enterprise Data Strategy is built around these principles. […]
Trends in Data Architecture
What role have Data Management and Data Architecture played in data-driven organizations, especially during the tumultuous and uncertain period at the beginning of the COVID-19 pandemic? Industry thought leader Donna Burbank, the Managing Director of Global Data Strategy, discussed these issues in her presentation Trends in Data Architecture at DATAVERSITY®’s Data Architecture Online conference last July. Burbank shared insights from a 2020 […]
Enabling Agile BPM with an Adaptive Architecture
Businesses rely on real-time data to make strategic business decisions. To harvest the latest data and get the best intelligence to guide decision-making requires an agile business process management (BPM) architecture. Businesses need to be able to ingest the latest data and act on that information to remain competitive. Different BPM platforms use a variety […]
How Can Unifying Data Fabric and Data Management Help Enterprises?
Today, one of the most cutting-edge technologies is data fabric. Data fabric and data management can significantly improve business functions by connecting siloed data and making it accessible across divisions and workgroups. Utilizing a specialized architecture, on-premises data can be shared across multi-cloud and deliver unique insights unavailable with other data management techniques. In this […]
3 Signs That Your Data Is Trapped in Silos
The path to data maturity begins with the realization that the opportunity itself is there. Whether you’re sitting on a ton of untapped data or you’re not extracting value from your data because of organizational restrictions, you may be aware by now of the endless possibilities of a mature data model. This potential can be […]
Data Modeling Techniques and Best Practices
Data models play an integral role in the development of effective data architecture for modern businesses. They are key to the conceptualization, planning, and building of an integrated data repository that drives advanced analytics and BI. In this blog post, we’ll provide you with an overview of the most popular data modeling techniques and best practices to […]