Company Information
Management
Technology Stack

DWSA Technology Stack

DWSA uses 12 technologies like Dreamscape Networks, IBM Red Brick, and Oracle Business Intelligence. View DWSA's complete Tech Stack.

DWSA Computer Networks Technology

Dreamscape Networks

Dreamscape Networks is a online solutions provider of domain names, hosting and solutions.

DWSA Business Intelligence And Analytics Technology

IBM Red Brick

IBM Red Brick Warehouse is a lean SQL standard relational database for business intelligence applications.

Oracle Business Intelligence

Oracle BI enables organizations to explore new insights and empower people to make faster, more informed business decisions.

Oracle Data Warehousing

Oracle Data Warehousing is a type of data management system that is designed to enable and support business intelligence activities, especially analytics.

SAS Business Intelligence

SAS Business Intelligence product suite includes products to help large organizations visualize and access data analytics.

DWSA Programming Languages And Frameworks Technology

Oracle Database

Oracle Database is an object-relational database management system.

SAS Base

SAS Base is a flexible, extensible 4GL and web-based interface for data access, transformation and reporting.

DWSA Devops And Development Technology

Oracle PL/SQL

Oracle PL/SQL is a procedural language designed an extension to Structured Query Language (SQL).

DWSA Platform And Storage Technology

Oracle Solaris

Oracle Solaris is an enterprise operating system offering security, speed, and simplicity for enterprise cloud environments and DevOps.

Solaris 10

Solaris 10 OS by Oracle that provides proven, enterprise-class security, reliability, and performance for SPARC and x86 systems.

Solaris 8

Solaris 8 is a proprietary Unix operating system. It's a part of the SPARC platform edition.

DWSA IT Management Technology

SAS ETL

SAS ETL helps user to build and edit data management processes, trace data usage across the organization, connect with real-time or batch to multiple data sources, migrate or synchronize data between database structures, enterprise applications, and mainframe legacy files, track metrics with job status and performance, and create and reuse existing table definitions and business rules.