Notice ID: RFQ8384
The solicitation (RFQ 8384) will be available on 9/9/2024 and will be distributed solely through GSA eBuy under 8(a) STARS III. All future information about this acquisition, including solicitation amendments, will also be distributed solely through https://www.ebuy.gsa.gov/ebuy/buyer/rfq-detail/RFQ1725082?qc=0.
The objective of this Performance Work Statement (PWS) is to obtain contractor support for a coordinated set of requirements to manage vast amounts of data for analytics in the RAAS computing environment. This includes the collection of legacy data from the IRS mainframe environment and the administration and maturity of systems and databases used to host data and analytical software.
Mainframe Support
Over 50 data sources are collected, integrated, and standardized in the RAAS computing environment, an effort that makes thousands of database tables and over 275,000 database columns accessible to the IRS research and analytical community. Many of these data sources originate in the IBM z/OS mainframe environment in formats that include ASCII, packed decimal, VSAM, and DB2. Some extract programs are written and maintained in Assembly Language.
RAAS has a requirement to support the continuation of mainframe extracts from all formats while simultaneously converting its Assembly Language programs to Java. This objective aims to mitigate the future risk of a skills gap in Assembly Language programming, provide greater flexibility in language abstraction for change management, and ensure continuity and stability in overall mainframe-based data Management.
System and Database Management
RAAS is the center of enterprise analytics in the IRS. Demand for data and analytical services continues to increase across all IRS business units, including requests for new data sources from the mainframe environment. While some source data is consumed in its raw state, e.g., large text files or special project data, most of the data collected by RAAS are still processed via Extract, Transform and Load (ETL) routines and loaded into SAP/Sybase IQ, analytic database. RAAS has a need for relational database support that involves ETL/T, account management, performance tuning, monitoring, and other activities detailed in the sub tasks below. In addition to relational database structures, RAAS is increasingly developing graph-relational models that utilize graph databases to facilitate the analysis of complex relationships between people, places, and things in the tax administration space. Knowledge and understanding with both relational database management systems and graph databases is required for this effort.
Not Yet a Premium Partner/Sponsor? Learn more about the OS AI Premium Corporate and Individual Plans here. Plans start at $250 annually.