Examples of using Big data project in English and their translations into Chinese
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A“ Big Data Project.
Setting up a Big Data project.
A Big Data project should not be done in isolation by the IT department.
A typical Big Data project.
Questions to ask before starting a Big Data project.
It's a big data project.
How to conduct a successful Big Data project?
What Makes a Big Data Project Successful?
How to conduct a successful Big Data project?
A Big data project has two main aspects- data requirements and the processing requirements.
Three reasons your big data project is failing.
Hadoop is a high profile example of an open source Big Data project.
It is likely that the people working on the big data project will use different tools than an IoT development team.
Questions to ask before starting a Big Data project.
In other words, a Big Data project is not just about collecting data, but being able to do something with it.
Put Spark to work on your next Big Data project!
Big data project development or management, or AI-related project delivery and development experience is preferred.
Do You Have the Expertise to be a Big Data Project Manager?
These are the three basictypes of analytic models you will apply in any big data project.
Are you currently working on or planning a Big Data project within the next 12 months?
According to research from TechRepublic and our sister site ZDNet,51% of companies have not started a big data project yet.
Regardless of the use case category, each Big Data project seeks to provide the supply chain manager with insight, rather than information.
First developed by IBM, SystemML is now an Apache big data project.
Last but not least, since 2015,I worked as a senior developer in a Big Data project that uses the Scala programming language extensively.
Spark has overtakenHadoop as the most active open source Big Data project.
Only eight per cent of organisations surveyed actually deployed a Big Data project, with 57 per cent still in the research and planning stages.
Spark has overtakenHadoop as the most active open source Big Data project.
If all the above conditions return positive results,then a Big Data project is feasible.