The Science Behind Direct Dataset Interoperability - People have been asking how our "out-of-the-box" thinking produced Data Compatibility Methods. It was really all about the science... https://lnkd.in/et_CY8vX #Data #DataAdministration #DataGovernance #DataModel #DataCompatibility #DataIntegration #DataInteroperability
Maxxphase, Inc. - The Data Compatibility Company
IT 服务与咨询
Hillsborough,New Jersey 111 位关注者
Data Compatibility is a new and efficient data technology where all your datasets simply interact seamlessly on demand.
关于我们
Our vision for data is one of direct interoperability, synergy, and collaboration. Guided by this vision, we at Maxxphase are moving beyond data integration. Data compatibility is so much more powerful than the methods previously used for decades – so powerful, in fact, that it is the inevitable replacement to data integration and data silos.
- 网站
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https://maxxphase.com
Maxxphase, Inc. - The Data Compatibility Company的外部链接
- 所属行业
- IT 服务与咨询
- 规模
- 11-50 人
- 总部
- Hillsborough,New Jersey
- 类型
- 私人持股
- 创立
- 2015
- 领域
- Analytics-Ready Modular Plug-and-Play Datasets、Data Integration、Dataset and Data Architecture Design、Direct Data Interoperability、Master Data Management、Data Governance、Data Analytics、Business Intelligence、Data Strategy、Data Warehouse和Data Compatibility
产品
Data Compatibility Standards
数据准备工具
According to Forrester Research, "Business users want faster and easier access to trusted data to make accurate business decisions, while technology organizations want to simplify data management." Maxxphase Data Compatibility Standards products were specifically designed to solve these IT issues. Data Compatibility Standards are a data product, not a software product. Our data products are used to non-invasively enhance any data system - converting that data system from siloed data to compatible data. Compatible data system spontaneously form a Compatible Data Fabric.
地点
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主要
601 Rt. 206
Suite 26-300
US,New Jersey,Hillsborough,08844
Maxxphase, Inc. - The Data Compatibility Company员工
动态
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Maxxphase delivers several innovative advanced data fabric architectures. Check them out: https://lnkd.in/eRXaS-Qf #Data #DataArchitecture #DataModeling #DataFabric #AI #DataCompatibility
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In light of the #Stargate #AI project, a $500B investment in AI infrastructure, we wanted to introduce the perfect data architecture for AI. AI requires a seamless, compatible data foundation with a very large volume of high-quality data. Current data integration methods can't be expected to deliver such a foundation in a reasonable time or at a reasonable cost. In contrast, our advanced modular plug-and-play data fabrics can deliver a seamless data foundation quickly through the use of our patented Data Compatibility Standards. For more information: https://lnkd.in/e5TMXZJ5 #Data #AI #Stargate #DataArchitecture #DataManagement #DataModel #DataCompatibility
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Check out this Article about a new form of Data Modeling the Compatible Data Model.
Data modeling needs modernization to deliver a data foundation beneficial to modern technologies such as ML/AI. This blog addresses the design and implementation of directly interoperable datasets, which collectively and seamlessly collaborate to provide consolidated, high-quality data on demand. #Data #DataModel #DataModeling #DataArchitecture #AI #DataCompatibility https://lnkd.in/gj85EEyQ
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Data modeling needs modernization to deliver a data foundation beneficial to modern technologies such as ML/AI. This blog addresses the design and implementation of directly interoperable datasets, which collectively and seamlessly collaborate to provide consolidated, high-quality data on demand. #Data #DataModel #DataModeling #DataArchitecture #AI #DataCompatibility https://lnkd.in/gj85EEyQ
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Interesting new article about the emergence a new type of Dataset, the Modular Plug and Play Dataset.
Since the dawn of digital computing,?dataset designers have delivered siloed datasets, which lack direct dataset interoperability. Maxxphase has recently introduced Modular Plug-and-Play Datasets that feature direct dataset interoperability. These modular datasets update the entire digital data foundation from disparate data architectures, where nothing works together, to a data fabric where all datasets seamlessly collaborate. https://lnkd.in/eNbwju5s #Data #DataCompatibility #DataManagement #DataModel
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Maxxphase, Inc. - The Data Compatibility Company转发了
Since the dawn of digital computing,?dataset designers have delivered siloed datasets, which lack direct dataset interoperability. Maxxphase has recently introduced Modular Plug-and-Play Datasets that feature direct dataset interoperability. These modular datasets update the entire digital data foundation from disparate data architectures, where nothing works together, to a data fabric where all datasets seamlessly collaborate. https://lnkd.in/eNbwju5s #Data #DataCompatibility #DataManagement #DataModel
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Since the dawn of digital computing,?dataset designers have delivered siloed datasets, which lack direct dataset interoperability. Maxxphase has recently introduced Modular Plug-and-Play Datasets that feature direct dataset interoperability. These modular datasets update the entire digital data foundation from disparate data architectures, where nothing works together, to a data fabric where all datasets seamlessly collaborate. https://lnkd.in/eNbwju5s #Data #DataCompatibility #DataManagement #DataModel
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Save your organization Money by pivoting away from ETL with Maxxphase Data Compatibility. Extract, Transform, Load (ETL) is a crucial process in data warehousing, enabling organizations to consolidate data from various sources into a central repository for analysis and reporting. Despite its importance, implementing ETL can be costly. Maxxphase DCS is a de-centralized approach that is design-based and used to enhance datasets at the source.?Maxxphase DCS applies master data standards to datasets establishing commonality. ?That commonality acts as a universal gateway enabling those separate datasets to now act indistinguishable from a single consistent dataset. Maxxphase's unique approach can mitigate some of the most common costs associated with ETL. 1.)??Some common costs around ETL are: a.?Design and Development: Creating an ETL system tailored to an organization’s specific needs involves extensive handcrafted and specific design and development work. This includes mapping data sources, defining transformation rules, and building the ETL pipelines. b.?Integration: Ensuring that multiple datasets integrate seamlessly with existing data sources and target databases can be complex and time-consuming. c.?Testing and Quality Assurance: Rigorous testing is necessary to ensure data accuracy and reliability while creating a non-agile, high-maintenance environment. 2.) Maxxphase Data Compatibility Standards reduces these costs: a.?Design and Development: Being standards-based to create a one-size-fits-all approach to data management, while creating a repeatable and scalable process for making new datasets directly interoperable. b.?Integration: By enhancing datasets to be directly interoperable, Maxxphase DCS removes the need for data transformation work. c.?Test and Quality Assurance: The standards create a single area of data governance that is inherited throughout the enterprise. No more attempting to align multiple disparate representations of data. Now, simply link to a centrally governed data standard. ETL is costing your company money and resources. It is time to pivot away from the ETL money pit with Maxxphase DCS.?Please feel free to reach out for more information.??
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All styles of data modeling contain the same flaw. Do you know what it is? Check out my blog article for details. https://lnkd.in/gR5sYYPY