How to Achieve a Near Real-Time Data Warehouse

Make use of job scheduling software to achieve a near real‐time data warehouse

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Content:

  • Introduction
  • How to Achieve a Near Real-Time Data Warehouse
  • Advantages of Job Scheduling Software
  • Robust Job Libraries and Support

 

Data warehouses are no longer simply repositories of business data. In particular, the use of business intelligence applications, which rely heavily on data warehouses for their operation, is expanding exponentially. With companies of all sizes now using BI applications on a daily basis, near real‐time data warehouse updates are now essential.

Compounding the need is the democratization of BI applications. Employees at all levels—from sales to production to human resources—are using BI applications on a daily basis. Add in the new forms of data that are flooding in, from radio-frequency identification (RFID) readers, Web services applications, mobile devices, cloud-based sources and more, along with the fact that data latency requirements have dropped (below one hour in 60 percent of cases and under one minute in another 35 percent) and it's clear just how important near real-time data warehouse updates have become.

It's estimated that up to 90 percent of all Global 2000 companies have now established a link between their data warehouse and at least one mission-critical application used to produce revenues or control costs. That's a jump from just 25 percent in 2007. Without current and accurate information, it's impossible to produce actionable insights at the pace of modern business.

Download the white paper to learn more.

Achieving a Near Real-Time Data Warehouse