RESEARCH & RESOURCES

LESSON - Weathering the Perfect Storm

By Pete Benesh, Product Marketing Manager, Syncsort
The Perfect Storm

Growing data volumes, shrinking operational windows, and the demand for low-latency data have created the perfect storm for data integration (DI) and data warehousing (DW) environments. In the face of this storm, IT departments fight a constant battle to provide a single, consistent, and current version of the truth readily accessible throughout the enterprise. This organizational pursuit supports one goal: maintaining a competitive advantage.

The battle often begins with the implementation of an enterprise DI strategy, which can include data warehouses, data marts, DI technologies, metadata management capabilities, a metadata repository, data quality, and profiling capabilities. Organizations commit significant capital and resources to build an environment customized for their specific data formats, sources, business relationships, processes, and service-level agreements. But even environments implemented using best practices and modern technologies feel the pressure of the perfect storm. When this pressure is compounded with the fact that most DI software is not sufficiently optimized for performance, it causes bottlenecks within the infrastructure that can have severe consequences to the business—lost revenue opportunities, increased costs, impaired decision making, and customer attrition.

Although DI bottlenecks manifest in different ways and in different architectural environments, they are all characterized by an inability to transform, integrate, or move data in a resource-efficient and scalable way within required timeframes. Some common scenarios that breed bottlenecks include:

  • Building and maintaining large enterprise data warehouses
  • Integrating data from many disparate sources into a single semantic format
  • Daily data loads that support mission-critical enterprise business applications
  • Application modernization/migration initiatives
  • Clickstream data warehousing initiatives for Web analytics
  • Various other scenarios that involve processing large data volumes in short operational windows
Rethink Data Integration

It is crucial to minimize or eliminate DI performance bottlenecks before they impact the business. The key is finding a solution that is optimized to function within existing DI environments, complementing an existing environment while solving data performance problems.

Most important, to effectively eliminate bottlenecks caused by the perfect storm, the solution must also provide extreme DI performance.

Ideally, the solution should be implemented in such a way that is resource efficient, does not require significant investment in additional software and hardware, and is not disruptive to the company’s existing DI environment. For this reason, traditional approaches such as acquiring additional software licenses, investing in extra hardware, or developing custom-coded tools are not the answer. Similarly, ripping out and replacing an expensive enterprisewide system is also not viable.

The solution should replace existing custom code and require short end-to-end implementation times. Most important, to effectively eliminate bottlenecks caused by the perfect storm, the solution must also provide extreme DI performance, with the ability to:

  • Process massive data sets in the shortest elapsed time
  • Leverage a minimum resource footprint on commodity hardware
  • Dynamically optimize processing based on runtime data and system resource availability

An extreme performance DI solution that complements an existing DI environment will transform decision making in increasingly complex business situations and provide immense measurable value by:

  • Enabling new and increased revenue streams
  • Eliminating revenue losses caused by processing bottlenecks
  • Reducing operating costs
  • Delivering rapid time-to-value
  • Extracting more value from existing infrastructure investments
  • Eliminating costs associated with custom-coded solutions
Conclusion

Data performance problems occur within even the most carefully planned and well-executed DI environments. Highly efficient software optimized for performance within existing environments can eliminate these bottlenecks in a resource-efficient and scalable manner, without requiring costly rip-and-replace endeavors, large investments in additional hardware and software, or custom programming techniques. By easing the cost and effort of delivering rapid information to decision makers, the right solution will enable customers to effectively pursue strategic initiatives around revenue growth, customer acquisition and retention, cost reduction, and operational efficiency.


For a free white paper on this topic from Syncsort, click here and choose the title “Addressing the Destructive Business Impact of Data Performance Problems: Nondisruptive Strategies for Eliminating Performance Problems in Existing Data Integration Environments.” For more free white papers, click here.

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