Examples of using Big data project in English and their translations into Chinese
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You can also use the big data project to analyze existing databases and other unstructured data, as well as to correlate the disparate data sets.
A successful big data project starts from a deep understanding of the business problems you want to solve and the value you want to gain.
In this section, you will see what symptoms can make a team realize they need to start a Big Data project.
It's the most active big data project in the Apache Software Foundation, and was recently“blessed” by IBM who committed 3,500 engineers to advancing it.
Ninety-five percent of the Fortune 1000 business leaders surveyed said that their firms had undertaken a big data project in the last five years.
Why BIG DATA Project?
Why big data projects fail and how to make 2017 different.
Organizations typically design big data projects to determine which questions to ask, rather than to address specific, previously known requirements.
Big data projects are typically built to determine which questions to ask, rather than to address specific, previously known requirements.
According to one Gartner forecast,“60 percent of big data projects will fail to go beyond piloting and experimentation, and will be abandoned.”.
Gartner predicts that 60% of big data projects will fail to go beyond piloting and experimentation and will be abandoned.
Big data projects demand large-scale, affordable, highly available, and secure storage pools that are commonly referred to as data lakes.
Through the survey on big data projects, a number of interesting examples were collected which may offer other organizations important lessons learned.
A common theme across all enterprise big data projects is the drive to get up and running quickly without causing disruption to existing IT environments.
Over four out of five surveyed(81 percent) said all or some Big Data projects will require cloud computing capabilities.
In the banking industry, where data is religiously collected and archived, it seems like the perfect playground to run big data projects.
Their backup and recovery solutions help you transform your IT infrastructure as you adopt cloud, mobile applications, and big data projects.
The company leverages its vast experience in grid computing, a global data center and enterprise implementation experience to its big data projects.
Over four out of five surveyed(81 per cent) said all or some Big Data projects will require cloud computing capabilities.
Keeping track of big data trends, research and statistics gives IT professionals a solid foundation to plan big data projects.