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Infinite Data Retention Implementation

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The contract involves the development and implementation of an infinite data retention system for Confluent data streams, enabling the organization to maintain and utilize historical data changes for enhanced business logic. Key responsibilities include designing the storage architecture and optimizing performance to handle continuously growing data volumes effectively. This work supports improved data-driven decision-making by preserving comprehensive historical data over an indefinite period. This subcontract is designated as a Service-Disabled Veteran-Owned Small Business Set Aside and falls under the NAICS code 541512, which pertains to custom computer programming services. The contract is issued by the Technology Acquisition Center Austin on behalf of the Department of Veterans Affairs, with the work performed in Eatontown. The focus on infinite data retention addresses the need for scalable and efficient data handling to support long-term analytical and operational requirements.

General Info

Develop infinite data retention system for Confluent streams under Veteran-Owned Small Business set aside.

Agency

Department Of Veterans Affairs → Technology Acquisition Center Austin (36C10A)View Agency

NAICS

541512 - Computer Systems Design ServicesView NAICS

Place of Performance

Eatontown, NJ, USA

Set-Aside

SDVOSBC

Documents

(0)

No documents available

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Timeline

Posted

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Organization & Contact Information

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AgencyDepartment Of Veterans Affairs → Technology Acquisition Center Austin (36C10A)
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Veterans Affairs → Technology Acquisition Center Austin (36C10A)
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Office AddressN/A
ContactsNo contact information available

Full Description

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Implementation of infinite data retention on Confluent data streams to support business logic based on historical data changes, including storage design and performance optimization.

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Treasurer

POSTED

about 16 hours ago

DEADLINE

in about 1 month
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