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Data Management Software - ETL Software - Data Warehousing Software Contact Syncsort
Product Description
Features and Technical Specifications
Technical Specifications
Advanced Data Management
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Grid Computing
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DMExpress Services
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Grid Computing Software - High Performance Architecture - CPU Intensive Applications

DMExpress is the high-speed data management solution for ETL, data warehousing, BI, and other mission-critical applications. DMExpress replaces long-running processes so applications run faster. This can save many hours, even days, especially when processing large amounts of data.

For UNIX, Windows, and Linux, DMExpress integrates disparate data from multiple, heterogeneous sources. It transforms and aggregates the data at high speed to create consolidated views for reporting, analysis, or other downstream applications. Most importantly, DMExpress translates into tangible business value for your organization in both performance and lowering your total cost of ownership.

FEATURES

The separately licensed Grid Computing component provides a high-performance architecture for CPU-intensive applications by enabling users to harness the collective processing power of multiple computers. A grid is more reliable than individual computers, and the grid system automatically reconfigures in response to external influences. Grids, which can be heterogeneous, take advantage of unused resources on constituent systems.

DMExpress Grid Computing can speed CPU-intensive applications, such as:

  • Financial models
  • Engineering tests
  • Scientific research

For additional information about DMExpress, visit: www.syncsort.com/products/dmx.

Download the DMExpress Grid Computing Data Sheet

White Papers

Click here to download DMExpress white papers:
  • It's Time for Your Data to Talk: A Look at Data Integration
  • Joins and Aggregates Are Critical for Achieving Faster Data Retrieval in a Dimensional Data Warehouse
  • Using DMExpress for Changed Data Capture Applications
  • Mitigate Business Intelligence Project Risks with Rule-Based Audits and Proof-of-Concepts
  • Speeding ETL Processing in Data Warehouses
  • Solving the Challenges of Exponential Data Growth
  • Optimizing ETL: The Key to Accelerating Data-Driven Business Decisions
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