Sentence examples for big data projects for from inspiring English sources

Atanas and Martin have been working together on big data projects for seven years already.

MapReduce, once the de facto standard for big data projects, is becoming outmoded in the machine learning community and is not recommended for the majority of applications due to its slowness and lack of support for iterative algorithms.

Together, these four areas represent the key infrastructure requirements for big data projects.

Many significant challenges remain for big data projects, and the active collaboration of psychiatrists is required throughout the analytical process.

A few crowdsourcing platforms, like Kaggle, now allow thousands of data scientists to sign up for big data projects.

Spark bills itself as a fast engine for processing big data projects.

Why did GFT go so wrong and what implications does this have for other big data projects?

Big data decisions can be assessed around many dimensions, namely, the related IT architecture, the data model used, the business domains in which the big data is applied, and the type of labour skills needed for running big data projects.

We finally test whether big data capabilities are of crucial importance for the financial returns linked to big data projects.

Gartner estimates that 85% of big data projects fail.

The big data projects are often expensive to administer, and require detailed project management with procedures and quality standards for every aspect of dealing with data.