'data processing needs' is correct and usable in written English.
You can use it when discussing the requirements for data processing and analysis. For example, "Our data processing needs are extensive and require expert analysis."
Scientists are overwhelmed with this increasing amount of data processing needs which is getting arisen from every science field.
He believes over time the vast majority of enterprises can meet their big data processing needs by finding the right tool in the marketplace.
It also enjoys the support of many vendors which provide a rich set if additional nodes covering most standard data processing needs for typical chemistry studies.
But if Levine is right, its role is about to change fairly dramatically, where it will be processing data for machine learning purposes, acting as an adjunct to more immediate data processing needs.
Instead of coming up with a thesis and plunging right in to build and sell a product based on their idea, these guys decided to take a year and talk to companies about their data processing needs.
Many of our customers will start out on Cloud Datastore to build prototypes and get moving quickly, and then evolve towards services like Cloud Bigtable as they grow and their data processing needs become more complex".
Two main nonbiological effects inherited in the RNA-seq data processing need to be removed to avoid potential biases in the estimation of expression distance: sequence length variation and sequencing depth variation.
This means companies can use fewer servers for their data-processing needs, thus reducing energy costs.
This framework is used to satisfy the data-processing needs in environments where high parallel computing and huge data storage are needed.
Though the vast majority (circa 80%) of the data processing it needs to do to run this pervasive monitoring system is being done in the cloud right now.
In recent years, a shift has occurred rendering this infrastructure critical not only for consumer web applications, but also for enterprise class problems, like big data processing, agility needs, 24/7 availability, faster delivery, customer engagement through social mechanisms, real-time communications and so on.
