Sentence examples for processing infrastructure from inspiring English sources

A clear timetable for the phased introduction of a ban on food waste to landfill to come into force by 2020 would allow the industry the time to finance and develop an optimum collection and processing infrastructure, it says.

And it's a bank, regulated by the federal government, and has call centers, a payments processing infrastructure, and all the other components of handling lots of transactions.

Because the Zipmark works over the existing check processing infrastructure, Zipmark doesn't need to hold onto the funds in the cloud for an extended period of time while the transactions are verified.

The simple and effective nature of such post-engineering method make it become an interesting method for MTH reaction especially when combined with the fluoride processing infrastructure in existed fluoride industry.

The difference between Square and loyalty-only plays is that while Square's feature set may be more minimal in comparison, it's already tied to the merchant's payments processing infrastructure, which makes tracking loyalty more frictionless as it's not as reliant on customer actions or input at the point-of-sale (tap to pay, barcode scanning, e.g).

However, the sector is facing enormous challenges as the current farming methods and processing infrastructure have been unsustainable resulting in many catastrophic impacts on the environment such as deforestation and soil degradation that have the potential to lead to a decrease in the quality of coffee beans.

Nevertheless, this data can be analysed using appropriate cloud based processing infrastructures to indicate statistical correlations about various indicators e.g. health, employment and citizen perception about selected indicators such as quality of life, as demonstrated in Section "Prototype implementation".

On the server side, these logs files were merged, parsed and synced by an extensive Python post-processing infrastructure, and stored in MySQL for analysis.

This type of application raises new issues on current big-data processing infrastructures.

This required producers, distributors, recyclers and retreaders to be identified and characterized, and local processing infrastructures to be analyzed.

Furthermore, the increasing number of survey missions and the exponentially growing data volume in recent years have created demand for better software reuse as well as an efficient use of scalable processing infrastructures.