Old Dutch Foods, known for its broad selection of snack foods in the midwest United States and Canada, was struggling to get the right products to the right places at the right time. Its data center included outdated physical servers, and batch processing meant that inventory would not be updated until the end of the day as opposed to real time. In addition, recovering from power outages and disk failures could frequently take up to two weeks.
To modernize its data center, Old Dutch Foods invested in EMC Converged Infrastructure. The fast and easy deployment of two VCE VBlock® systems running JD Edwards, MS Exchange, mobile device apps, and operation of a backup site with replicated applications and data.
This enhanced the IT department's responsiveness to the business, allowed them to shift to real-time inventory, and reduced CapEx and OpEx costs. Operations were simplified by reducing person-hours needed for infrastructure maintenance
by 75 percent.
Although typically thought of as an artifact of legacy computing, batch processes remain vital to today’s real-time enterprises. Behind the real time systems that power the real time enterprise, such as customer order fulfillment, account management, supply chain scheduling and optimization, or financial trading systems, are regularly-updated back office business systems. Over the years, batch technology has evolved from script-based automation to rules or policy-driven workload automation.
All things that can be automated will be automated. Beyond the careful choreography of sophisticated workflow, managing myriad simultaneous requests puts unprecedented demand on the software that must schedule and perpetually deliver against well-defined service levels, in real time. Gone are the days of simple batch processing. Welcome to the oh-so-very-flat world that is embracing service-oriented architectures, grid architectures, expansive ecosystems, and end-to-end processing. Workload scheduling has got to grow up.
Risk-averse distributors may feel that the safest and simplest IT strategy is to stay with their existing "homegrown" enterprise resource planning (ERP) solution. But just as sticking your money under the mattress offers no protection against inflation, maintaining an outdated system can rob you of a distinct competitive advantage.
THE LAMBDA ARCHITECTURE SIMPLIFIED Your Guide to Building a Scalable Data Architecture for Real-Time Workloads
- What defines the Lambda Architecture, broken down by each layer
- How to simplify the Lambda Architecture by consolidating the speed layer and batch layer into one system
- How to implement a scalable Lambda Architecture that accommodates streaming and immutable data
- How companies like Comcast and Tapjoy use Lambda Architectures in production
Staples’ information systems play a critical role in delivering on their brand promise 'that was easy.' As part of a recent strategic imperative, Staples recently embarked on a major modernization of its systems architecture and supporting processes. The goal was to ensure IT’s systems could scale with the company’s continued global expansion without sacrificing the quality of the brand experience. One critical target for modernization was Staples’ enterprise job scheduling processes and systems. After researching the top software providers in this space, Staples selected Tidal Software to support its efforts to centralize and streamline automated batch processing.
When bound to regulation and compliance, process manufacturers find opportunities to grow through enterprise resource planning (ERP). However, 50% of process manufacturers execute non-integrated ERP strategies. This Aberdeen Group research study reveals best practices to help you adapt or select an ERP vendor that improves your business performance.
IST uses Fourth Shift software by SoftBrands to manage its operations in Big Flats, New York (headquarters) and Buffalo, New York, as well as the United Kingdom, Canada and France. For Fourth Shift to function correctly for IST, a series of process must be run each night on several servers. These processes include batch runs, data extracts, and system backup.