Information Technology for Business Research
Added on 2022-08-20
6 Pages1186 Words11 Views
|
|
|
Running head: INFORMATION TECHNOLOGY FOR BUSINESS RESEARCH
INFORMATION TECHNOLOGY FOR BUSINESS RESEARCH
Name of the Student:
Name of the University:
Author note:
INFORMATION TECHNOLOGY FOR BUSINESS RESEARCH
Name of the Student:
Name of the University:
Author note:
INFORMATION TECHNOLOGY FOR BUSINESS RESEARCH1
Summary for the Article: Vinayak R. Borkar, Michael J. Carey and Chen Li, (2012) “Big Data
Platforms: What’s Next?”
According to the author of this article, the technology has developed so much that the
information is no longer stored in traditional form. However, digital information, are updated in
the system on a daily basis. The Big Data Analytics is considered to be one of the platform to
store, process, and segregate data. The huge amount of the data that is generated in the business
can be dealt properly with the help of the big data analytics. Vinayak, Michael and Chen, said
that, to manage the big data or the huge amount data, technologies like HADOOP and HDFS are
the most profoundly used platforms. But the HADOOP platform has its own drawbacks as well.
Due to the Accidental nature of the HADOOP and the HDFS, one of the very promising
technology is being introduced in to the System that is ASTERIX. But removing the concept of
the big data analytics completely from the business is impossible. According to the author, the
large amount of the data that is generated from the information system can only be used properly
after they are processed by the big data analytics. The BDA is the very important for processing
and storing raw data for generating effective information. This is contradicted by Boyd, D. and
Crawford, K., 2011, who mentioned in their writing that the big data analytics is not important
for managing a huge size of the data, but for the way in which it relates one data to the other.
According to this author, BDA is essential for establishing relationship among the data. Without
establishing relationship among the data the analysis is not possible. The raw data set generated
by the users of the data is useless. No amount in what bulk they are entered in the BDA platform,
without proper link being established, they are of no use to the users. The author mentioned that
big data encourages a particular practise, which is known as the apophenia, a process of
measuring pattern to generate communication in the bulk of the data such that they can be
Summary for the Article: Vinayak R. Borkar, Michael J. Carey and Chen Li, (2012) “Big Data
Platforms: What’s Next?”
According to the author of this article, the technology has developed so much that the
information is no longer stored in traditional form. However, digital information, are updated in
the system on a daily basis. The Big Data Analytics is considered to be one of the platform to
store, process, and segregate data. The huge amount of the data that is generated in the business
can be dealt properly with the help of the big data analytics. Vinayak, Michael and Chen, said
that, to manage the big data or the huge amount data, technologies like HADOOP and HDFS are
the most profoundly used platforms. But the HADOOP platform has its own drawbacks as well.
Due to the Accidental nature of the HADOOP and the HDFS, one of the very promising
technology is being introduced in to the System that is ASTERIX. But removing the concept of
the big data analytics completely from the business is impossible. According to the author, the
large amount of the data that is generated from the information system can only be used properly
after they are processed by the big data analytics. The BDA is the very important for processing
and storing raw data for generating effective information. This is contradicted by Boyd, D. and
Crawford, K., 2011, who mentioned in their writing that the big data analytics is not important
for managing a huge size of the data, but for the way in which it relates one data to the other.
According to this author, BDA is essential for establishing relationship among the data. Without
establishing relationship among the data the analysis is not possible. The raw data set generated
by the users of the data is useless. No amount in what bulk they are entered in the BDA platform,
without proper link being established, they are of no use to the users. The author mentioned that
big data encourages a particular practise, which is known as the apophenia, a process of
measuring pattern to generate communication in the bulk of the data such that they can be
INFORMATION TECHNOLOGY FOR BUSINESS RESEARCH2
radiated in all the direction of the data. Author Vinayak, Michael and Chen says that the
ASTERIX is capable of handling the data which is the main function of the platform, however,
according to the other authors, only processing and storing and the modifying of the data is not
the only important task that is taken up by the Big Data Analytics tools that are in use in the
contemporary world. Just by understanding the statistics of the data, the link or the connection
between the data cannot be established. For example, if two people are using the same network
of the internet, it is not mandatory for one person to know the other.
radiated in all the direction of the data. Author Vinayak, Michael and Chen says that the
ASTERIX is capable of handling the data which is the main function of the platform, however,
according to the other authors, only processing and storing and the modifying of the data is not
the only important task that is taken up by the Big Data Analytics tools that are in use in the
contemporary world. Just by understanding the statistics of the data, the link or the connection
between the data cannot be established. For example, if two people are using the same network
of the internet, it is not mandatory for one person to know the other.
End of preview
Want to access all the pages? Upload your documents or become a member.
Related Documents