Dremio and Carahsoft Team up To Bring Modern Data Infrastructure

CIOTechOutlook Team | Friday, 05 January 2024, 09:06 IST

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Dremio, the simple and open data lakehouse, has announced a partnership with Carahsoft Technology Corp., The Trusted Government IT Solutions Provider. Carahsoft will serve as Dremio's Master Government Aggregator® under the agreement, making the company's entire cloud and software portfolio for Government, Defense, Intelligence, and Education available through Carahsoft's reseller partners and NASA Solutions for Enterprise-Wide Procurement (SEWP) V, Information Technology Enterprise Solutions - Software 2 (ITES-SW2), National Association of State Procurement Officials (NASPO) ValuePoint, National Cooperative Purchasi
 
This collaboration paves the way for Public Sector organizations to harness cutting-edge data analytics capabilities which empower them to make smarter decisions and significantly enhance operational efficiency through lightning-fast data access. Dremio propels agencies into the future by embracing a state-of-the-art data lakehouse architecture in Public Sector organizations, as per carahsoft tech.
 
Organizations who switch to Dremio's solutions can experience sub-second query performance and a staggering 10-fold improvement in price performance. The new environment replaces expensive and complex legacy data lake systems with a flexible, highly modern design.
 
Dremio enables low-cost self-service analytics and data management by simplifying data pipelines and ETL complexity while accelerating insights across many storage sites. Dremio and Carahsoft, with a track record of updating legacy Hadoop settings and implementing the modern data lakehouse solution, aim to improve Public Sector data management by breaking down data silos. Adopting a data mesh approach allows for the efficient processing of several data sources, promoting cross-collaboration and decentralized data control. Dremio's experience assists public sector agencies in adopting these concepts, removing data silos for a more collaborative and efficient data analytics strategy.
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