Access over 20 million homework & study documents

Big Data Management

Content type
User Generated
Type
Homework
Rating
Showing Page:
1/4
Surname 1
Name:
Course:
Tutor:
Date:
Big Data Management
Question 1
Technology has underscored big data management in many ways. For instance, through
technology-enabled computing, significant volumes of both unstructured and structured data are
quickly organized, administered and governed effectively. This technology, however, facilitates
big data management’s aim to deliver high-quality data and accessibility for enterprise
intelligence and applications that analyze this data. In distributed systems, a network
communicates and coordinates the system’s components functioning by messages. All the
networked hardware and software function with the aim of a particular objective. Thence, big
data management is underscored by the implementation of its dissimilar policies to the
administering, organizing and governing of unstructured and semi-structured (Inmon & Anthony,
P. 26-27)
Question 2
Latency refers to the hold up from the input into a system to expected outcome. It varies from
one system to the other. Low latency is significant for big data management because it enhances
quick and efficient moving of data across the businesses’ networks. The demand for low latency
has gone high since most firms want to share and handle data fast and efficiently through their

Sign up to view the full document!

lock_open Sign Up
Showing Page:
2/4
Surname 2
networks. Most companies have called for the supply of materials that are likely to reduce
latency and hence increase speed through which data moves from one point to another. The main
current latency issue is system performance. However, technology can respond to the issues
through improving all the techniques and fabrics in the server, and in the storage equipment
(Minarovits, P. 13-14).
Question 3
Web 2.0 being the present online technology state, has developed data structure through many
ways. First, it has enabled high user collaboration and interactivity, enhanced communication
platforms and increased connectivity. So, this has changed the old data structure. Web 2.0 has
enabled faster big data management due to increased connectivity which has reduced latency.
Therefore, big data management is easily controlled. Examples of semi-structured data include
Electronic Data Interchange (EDI) and email. Examples of unstructured data are health record,
audio, and video files (Hu & Naima, P. 24).
Question 4:
The most significant source of unstructured information in the university is the student whose
identification documents are either in email messages word files, photographs or any other
portable file formats that are accessible. Since they are unstructured, to manage them, one needs
to undertake a pattern of steps that range from creation of data to using it again. Once the data is
created, it should be arranged in a shareable form. It should be processed and changed into
digital form, and its validity tested, after which it is analyzed to achieve better interpretation.
Then the processed information is preserved and backup stores created for future use and

Sign up to view the full document!

lock_open Sign Up
Showing Page:
3/4

Sign up to view the full document!

lock_open Sign Up
End of Preview - Want to read all 4 pages?
Access Now
Unformatted Attachment Preview
Surname 1 Name: Course: Tutor: Date: Big Data Management Question 1 Technology has underscored big data management in many ways. For instance, through technology-enabled computing, significant volumes of both unstructured and structured data are quickly organized, administered and governed effectively. This technology, however, facilitates big data management’s aim to deliver high-quality data and accessibility for enterprise intelligence and applications that analyze this data. In distributed systems, a network communicates and coordinates the system’s components functioning by messages. All the networked hardware and software function with the aim of a particular objective. Thence, big data management is underscored by the implementation of its dissimilar policies to the administering, organizing and governing of unstructured and semi-structured (Inmon & Anthony, P. 26-27) Question 2 Latency refers to the hold up from the input into a system to expected outcome. It varies from one system to the other. Low latency is significant for big data management because it enhances quick and efficient moving of data across the businesses’ networks. The demand for low latency has gone ...
Purchase document to see full attachment
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.

Anonymous
Just what I was looking for! Super helpful.

Studypool
4.7
Trustpilot
4.5
Sitejabber
4.4