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Anonymous
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Question description

Report- single spaced 3 page, excluding reference properly cited.

Read the articles and write a review to report what you have learned.

The report should also answer the following four questions:

(a) Summarize your understanding about Big data.

(b) What can you say about schemas in Big data?

(c) What is NoSQL? How does it differ from SQL and traditional databases?

(d) What is NewSQL? How does it differ from SQL and NoSQL?

Answers to these questions should be a part of the report, not the complete report itself.

  1. X. L. Dong and Divesh Srivastava, Big data integration (pdf tutorial summary at http://www.vldb.org/pvldb/vol6/p1188-srivastava.pdf).
  2. Paolo Atzeni, Christian S. Jensen, Giorgio Orsi, Sudha Ram, Letizia Tanca and Riccardo Torlone, The relational model is dead, SQL is dead, and I don’t feel so good myself, SIGMOD Record, June 2013 (Vol. 42, No. 2), pp. 64-68

also be refer these wiki pages to start with

Wikipedia articles on NoSQL (http://en.wikipedia.org/wiki/NoSQL)

Wikipedia article on NewSQL (http://en.wikipedia.org/wiki/NewSQL).

Tutor Answer

Marrie
School: University of Virginia

Your assignment is complete, if you have any queries shoot me a message and hang tight, I'll assist you in a couple minutes or asap. :-)AM HERE FOR YOUHave a blessed day.

Running head: DATA BASE MANAGEMENT SYSTEMS

Data Base Management Systems
Institutional Affiliation
Date

1

DATA BASE MANAGEMENT SYSTEMS

2

Big data can generally be defined as large tracts of data obtained through various
methods of data collection, for example, scientific investigations and business charts. Most of the
time these excessive amounts of data are unprocessed and thus require for the users to analyze
them and as a result, extract the required value from them. The process above is usually
accompanied by a final process known as Big Data integration (BDI) where this procedure now
aims at harmonizing data collected from various fields in order to extract the maximum possible
value that can be useful for our analysis and value extraction.
There are several characteristics that have been given to distinguish big data from other
forms of data they are popularly referred to as the 4 V's of big data, namely volume, velocity,
veracity and finally variety. The first V which is Volume is a representation of the enormous
amounts of data available for a certain subject or area of research. Apart from the huge amounts
of data available there is also a vast amount of data sources available which is made possible by
the current capability of information generation that is done at will.
The second V which is velocity is a representation of the high rate at which data is
collected and generated, whose result is the enormous amounts of data sources each dynamic to
the other. This elevated rate of information made available has been one of the fundamental
architects of the Big Data ideology that has proved to be very useful due to growth in the need
and usefulness of data-driven decisions. The next V is a variety which is a depiction of the
unevenness of the data sources available, these data sources have been seen to differ even as
early as in the schema level and the instance level, this difference is exhibited for information
that is made available for similar entities.
The final V which is veracity has a kind of similar representation to the third V variety
where veracity is a depiction of various large amounts of data sources that differ in terms of
quality, accuracy, timelessness, and scope. Sometimes these data sources may differ in very
many aspects considering the fact that most are from the same domain. The above demonstration
gives the researcher or the reader a clear illustration of what is meant by the term Big Data,
which has been a very great contribution in the field of research including the scientific,
geographical, and business-oriented and astronomy.
The next step towards diversifying and making Big Data more useful to the researcher is
the d...

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Anonymous
Excellent job

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