Compatible Data System Enhancements

Today’s data systems are characterized as data silos. Data silos are data systems that efficiently store and retrieve data but do not freely share their data with other data systems. Maxxphase Data Compatibility is a noninvasive data system enhancement that supports free and direct data sharing with other data systems. These enhanced data systems are now compatible data systems.

Maxxphase Data Compatibility provides significant enhancements to existing data systems. First, data compatibility provides a common standardized master data foundation for each data system. The data from each data system anchored by this data foundation is now integrated across data systems. Second, Data Compatibility Standards form multiple reliable data access paths between data systems to support data systems' direct data interoperability. Third, Maxxphase Data Compatibility enhances source data systems to be analytics-ready by providing data warehouse functionality to each compatible data system. Fourth, these compatible data systems are plug and play data systems in a very dynamic Compatible Data Fabric. For these enhancements, Maxxphase Data Compatibility is truly revolutionary to the IT industry.

The Master Data Compatibility Foundation

Most businesses struggle to obtain the integrated data they need to support their business processes. This lack of integrated data is caused by conflicts in the master data representations among their data systems. The master data of traditional data systems can be conflicted in many ways, such as metadata differences, structural differences, and inconsistent data values. Not imposing standards in master data representations across traditional data systems was a major mistake in how these conflicted data systems were initially designed and instantiated.

Master data compatibility across data systems does not happen by accident. Maxxphase Data Compatibility Standards provides a target for the master data representations of each data system to comply. Any data system that complies with the Data Compatibility Standards is a compatible data system. Data Compatibility Standards are also used to correct existing master data conflicts in any data system, making that data system compatible. The master data compatibility imposed by Data Compatibility Standards provides a foundation of master data commonality that anchors data systems relative to each other.

Data Compatibility Standards and Methods are the future direction for the information technology industry. A whole new world of data solutions is unlocked once your data systems become compatible!

The Secret of Data System Interoperability

Our products, Maxxphase Data Compatibility Standards, bring standardization to data system development methods that have been too arbitrary for far too long. Our standards define a target state of master data commonality for the compatibility of all data systems. When our standards non-invasively encapsulate a data system, that data system becomes a compatible data systems. Our Data Compatibility Standards compose a standardized master data shell encapsulating each compatible data system.

Our Data Compatibility Standards are specifically designed to form reliable data access paths among the master data shells that encapsulate any compatible data systems. These data access paths allow the computer to make the appropriate direct data record matches across data systems. In this way, any data from any compatible data system may now be directly joined with the data of any other compatible data systems. The Data Compatibility Standards are the secret behind direct data system interoperability.

Interoperable data systems

The Analytics-Ready Compatible Data System

At Maxxphase, we designed and developed Data Compatibility Standards to incorporate a data warehouse's functionality. When Data Compatibility Standards enhance a data system, that data system now supports multi-dimensional analytics. Any compatible data system has the direct data interoperability needed to blend with any other compatible data systems. These interoperable compatible data systems become Compatible Data Warehouse components. These components are interchangeable and can be dynamically blended to form more business-relevant Compatible Data Warehouse components. Consolidated data warehouse components may be virtual or materialized to create a permanent data warehouse component.

Any data system, structured, semi-structured, or unstructured may be made compatible. When a source data system is standardized, it becomes a real-time data warehouse component. However, a compatible data system may also be restructured to support a near real-time data warehouse component. In either event, these data systems will all be compatible, integrated, directly interoperable, and analytics-ready.

The Compatible Data Fabric

The Compatible Data Fabric is composed of directly interoperable, analytics-ready, compatible data systems. When a data system is made compatible, it automatically becomes an integral component of the Compatible Data Fabric. Since compatible data systems are directly interoperable, there are no data movements and no data transformations required! Each compatible data system is plug and play within the Compatible Data Fabric.

Compatible data systems each have an identical shell of Data Compatibility Standards. These shells are designed and implemented to form a multitude of data access paths or threads that dynamically blend compatible data systems. This blending creates a single virtual analytics-ready compatible data system. All interactions among compatible data systems are identical and dynamic. As such, compatible data systems are additive. Multiple physical compatible data systems may be dynamically and seamlessly blended to appear as a single consistent compatible data system. If desired, the resultant consolidated and aggregated compatible data system may also be materialized to a new physical compatible data system within the Compatible Data Fabric. The Compatible Data Fabric will revolutionize digital data, information, and knowledge in the IT industry.