The Compatible
Data Fabric

Your 360ᴼ View of all Your Data

Today, many organizations are investing in the implementation of a data fabric. An Enterprise Data Fabric blends data from multiple disparate data sources to provide an integrated and consistent data superset for seamless data accessibility. Forming a data fabric is a noble effort, but is very difficult and challenging since source data systems are disparate. Data preparations, data wrangling, and data transformations are needed to weave the data fabric.

The Compatible Data Fabric is an enhanced form of traditional data fabrics. This Compatible Data Fabric begins with compatible data systems that seamlessly share all their data and are directly interoperable. Once a disparate data system is updated to be a compatible data system, that updated data system automatically becomes an integral component of the Compatible Data Fabric. Since the Compatible Data Fabric is based on compatible data systems, data preparations, data wrangling, and data transformations are not needed to weave the data fabric. Compatible Data Fabrics are far superior to traditional data fabrics. The Compatible Data Fabric has all the multi-dimensional functionality of the data warehouse plus many performance enhancements not possible with conventional data fabrics.

The Business Perspective

Never before has a business had such informational power at their fingertips. The Compatible Data Fabric provides a single source of consistent and trusted instantly available data. Within the data fabric, each compatible data system forms direct links with every other compatible data system. These data system links are the weave of your Compatible Data Fabric. All your data fits together like the pieces of a jigsaw puzzle, providing a 360ᴼ view of all your data.

The Compatible Data Fabric also supports all the functionality and power of a data warehouse. This embedded data warehouse functionality is an enormous advantage over the conventional data fabric that is merely a data source for constructing a data warehouse. Business intelligence and analytics are intrinsic to your Compatible Data Fabric.

Compatible Data Fabric

The Technical Perspective

Maxxphase implements compatible data systems in a multi-dimensional form, where each Data Compatibility Standard supports a standardized hierarchy of its master data domain. Since compatible data systems are data integrated without data transformations, they are also directly interoperable. Each level of granularity for every Compatible Data Standard promotes direct data interoperability across compatible data systems. Each compatible data system becomes an integral component in a multi-tiered Compatible Data Fabric. The data weaves between compatible data systems are very comprehensive. As such, the Compatible Data Fabric formed from these data systems also directly supports multi-dimensional analytics.

Each compatible data system incorporates all data warehouse functionality, such as roll-ups and drill-downs, slicing, and dicing. You can dynamically blend various combinations of compatible data systems, forming a virtualized or a materialized business intelligence environment specific to an analytic need.

Traditional data fabrics tend to have several performance issues. In contrast, compatible data systems are very agile and support data retrieval performance enhancements. The direct data weaves of the Compatible Data Fabric are far more efficient than the indirect, transformed data weaves used in traditional data fabrics. Compatible data systems also support the materialization of aggregate data and consolidated data to eliminate inefficient data retrieval. Compatible Data Fabrics will easily outperform traditional data fabrics.

Summary


Compatible data systems fit together with data blending because the data in compatible data systems are integrated and there is extensive direct data interoperablity. The resulting Compatible Data Fabric has all the functionality of a traditional data fabric and a whole lot more.