Enabling Technologies

Match the labels with the right characteristics and challenges

Match the labels with the right characteristics and challenges

By today’s standards, one Terabyte or greater is considered a big data. IDC has predicted that 40 ZB of data will be processed by 2030, meaning each person may have
5.2 TB of data to be processed.

The high 1($) demands large storage capacity and analytical capabilities to handle such massive 2($)s of data. The high 3($) implies that data comes in many different formats, which can be very difficult and expensive to manage accurately. The high 4($) refers to the inability to process big data in real time to extract meaningful information or knowledge from it. The 5($) implies that it is rather difficult to verify data. The 6($) of big data varies with its application domains.

Forbes, Wikipedia and NIST have provided some historical reviews of the data science evolution.  Match each stage with its definition

1. 1($) 1968: The science of dealing with data, once they have been established, while the relation of the data to what they represent is delegated to other fields and sciences.
2. 2($) 1997: Statistics renamed as data science
3. 3($) 2001: Knowledge discovery and data mining
4. 4($) 2013: Data Science is the extraction of actionable knowledge directly from data through a process of discovery, hypothesis, and analytical hypothesis analysis

Rearrange the phases to start from the first till the last phase

1($) ⇨ 2($) ⇨ 3($) ⇨ 4($)

Functional components of data science supported by some software libraries on the cloud in 2016

• data science is considered as the 1($) of three interdisciplinary areas: computer science or programming skills, mathematics and statistics, and application domain expertise
• Through the combination of domain knowledge and mathematical skills, specific 2($) are developed while 3($) are designed
• The 4($) field is formed by intersecting domain expertise with mathematical statistics
• 5($) has resulted from the intersection of domain expertise and programming skills
• 6($) is the intersection of programming skills and mathematical statistics.