Leading the effort to shape the future of Cloud Adjacent Data Fabric Technology, providing seamless access to your data across the Digital Enterprise

As organizations transition toward modern cloud architecture as a path to modernization, more and more are designing cloud computing solutions within multiple-cloud and hybrid environments. Cloud Adjacent technology plays a critical part in the future of the interconnected digital space.

Supporting Your Interconnected Digital Big Data Transformation Mission

SpinSys-Diné and Equinix are working closely together to help transform and shape the future of the next generation, interconnected digital infrastructure.

Equinix is the world leader in providing cloud adjacent technology, leading the evolution of a hybrid environment where communication with one or multiple cloud providers occurs in a private and secure manner. This is achieved via fast and secure dedicated on-ramps using Equinix FabricTM software-defined interconnection, without going over the public internet supporting enterprises’ big data initiatives.

SpinSys-Diné, an industry leader in providing big data solutions for both government and commercial enterprises, is leading the effort by providing MDACA EQ – a premier, cloud adjacent data fabric solution.

Equinix FabricTM provides your network interconnections and MDACA EQ blends the Power of Equinix FabricTM with MDACA EQ Enterprise Data Fabric Platform, providing a data fabric layer for your cloud adjacent infrastructure

Strengths & Value

  • Continuous leader of innovation and legacy application modernization for both government and commercial enterprises since 2002

  • Microsoft Gold Partner supported by certified staff with a wide range professional/specialty expertise and certifications

  • Core focus on leveraging Microsoft technologies on-prem and in the cloud

  • In-depth expertise and proven track record in Information Assurance (IA) and government security accreditation for both DoD and civilian agencies

  • Extensive experience with Risk Management Framework (RMF) processes, shared responsibility model

  • Multiplatform, Data Acquisition, Collection, and Analytics (MDACA) big data product suite to support organizations in maximizing the value of their data

  • Provides enterprise data fabric, data federation, and data virtualization technology  tailored to leverage Equinix Interconnects

  • Product suite based on 20-plus years of leveraging industry leading and cutting edge, supported open source technologies to advance innovation

  • Can be deployed on your infrastructure or provided as a managed service

  • DoD-grade designed to support government and commercial enterprises

MDACA EQ

MDACA EQ is part of the MDACA product suite, providing big data platform integrated tools in support of data fabric and data federation needs as well as a wide range of end user productivity tools. These tools can be tailored based on the enterprise needs. To find out more about SpinSys MDACA products, please visit www.mdaca.io.

Case Studies

Case Study

The Challenge

The Equinix Solution

Enterprise Near Real Time Data Federation and Connectivity

Support 100+ data centers located around the world by allowing them to share data/information among each other and support executive decision making

Securely deployed worldwide, providing data interconnection and sharing of more than 8 Billion records on a daily basis

Hybrid Cloud strategy and execution

Client with multiple data centers (3) to be migrated to the cloud on very tight deadlines due to cost/security considerations

Deployed 450+ MDACA connectors for secure data collection with advanced routing and orchestration

IoT and Edge Nodes Data Integrated into the Enterprise

Customer needed capability to securely automate the collection of IoT data to support informed, mission-critical decision making; solution needed to support both connected and disconnected modes

Deployed edge node with advanced IoT integration capabilities with quantum secure data communication and integrated with Artificial Intelligence/Machine Learning (AI/ML) platform

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