Bigdata soluction

BIG DATA SOLUTIONS IN CLIMATE CHANGE

Context

The overall rationale behind the application of big data solutions in organizational processes is closely related to application of modern information and communication technologies used in various parts of the world today. Big data solutions have been widely applied in industrial manufacturing and processes to help speed up these activities. Large volumes of data collected and stored by the meteorological departments are used to forecast and predict future weather and climate trends and patterns.  Traditionally, it was very difficult to accurately forecast weather or climatic changes because there were insufficient data and information. Nonetheless, the emergence of big data technologies has made it very easy for the weather man and other meteorological departments to store large volumes of raw data and efficiently process them for the purposes of predicating future weather occurrences.  In addition, the use of big data has made it easy for scientists and researchers to access diverse and variety of climate related information thus help mitigate natural calamities such as floods, tornados, hurricanes and drought before they occur.

Big data solutions are very helpful in evaluating and monitoring climate vulnerabilities, threats and risks. This is important because it helps provide the public with early warning information concerning impending natural calamities like floods and droughts which will ultimately make them prepare to tackle such disasters. Indeed this is very critical in avoiding destruction of settlements and loses of lives which usually results from cases failure to warn the community about the pending risks and threats of climate change. Big data solutions when integrated with modern information technology tools with apparently help the world in tackling natural disasters that usually cause pain and agony to the public if appropriate actions are not taken in good time. Due to rapid growth and advancement of information technology, scientists and researchers are hopeful that big data solutions will successfully help eradicate such climate change adverse outcomes in future.

The modern internet tools or the asynchronous first generation online platforms such as Facebook, Twitter and Google are among the sources of big data that organizations and meteorological departments use to modernize their operations. Regardless of big data solutions effectiveness, there are still gaps to be filled in order to realize full benefits of big data for various organizations. For example, there is little information about how big data can be to co-ordinate multi-facet activities in various organizations. This problem is due to little research done on big data applications and its opportunities in the meteorological departments. Moreover, the kind of scope for collaboration needed among the information Technology (IT) professionals and researchers is still limited thus leading to inadequate information concerning this technology. In this case, the information Technology (IT) researchers and professionals must now embrace the collaborative forum or environment such as blog (web blogs) that has generated several interests and received adequate attention recently. These are basically the composite personal online or web site journals that are chronologically designed.

Indeed journal writings have been one of the suitable tools for scientists and researchers of big data solutions; however, web blogs are appropriate in this case because there collaborative, intercultural dimension and social nature. Blogs are online journals but they are appropriate in this case because they can be used to disseminate information in a collaborative manner. Blogs encompasses big data since they incorporate several hypertexts to connect to the external sources of other big data e.g. used to link to other blogs. This enables blogs to form large volumes of postings that link to other journals. Therefore, when several blogs are linked to each other, they form big data and provide weather professionals with large volumes of data that they can use to forecast climatic changes in various regions or across the world. This research project attempts to examine how big data especially in the form of blogs can be used mitigate the impacts of climate change.

The objectives and aims

General objectives

  • To examine the effectiveness of big data solutions in the context of climate change mitigation measures.
  • To examine the roles of multi-facet organizations in using big data solutions to mitigate climate change outcomes.
  • To create a collaborative web blogs with link with other blogs to form large volume source of data/ big data.

Specific aims/ objectives

  • To develop and implement a GPS system which will help meteorologists and scientists to track climate changes easily without applying technical knowledge. This IT tool will incorporate several features that can be integrated with other technologies to provide large volumes of data about climate.
  • To develop datasets based on data collected from different regions across the world to help evaluate and monitor climate changes.
  • To examine the effects of modern information systems and big data solutions in addressing environmental problems.

Expected results of big data applications

  • To confirm that web blogs are one of the best sources of environmental and climate change data.
  • To provide data discussing the theoretical rationale behind the applications of big data solutions.

Action Plan/Milestone

This project was implemented in four stages which include design stage, pilot stage, implementing stage and assessment stage. In order to achieve these stages successfully, the following events will be incorporated.

  • Each team group met three times to discuss project preparations. Each group leaders will pilot the project in their respective groups.
  • Each team group held two workshops to launch the project development and implementation stages. Therefore, the following were the provisional time for the project.

Development stage

03/05/2018 (3rd-9th)

WEEK 1

The students performed project preparatory studies regarding bid data solutions and the following were the items studied.

  • The understanding of big data applications and its effectiveness in mitigating disasters resulting from climate change.
  • Actual application of big data solutions to mitigate adverse outcomes of climate change.
  • Content analysis of different books, publications and journal articles to ascertain the role of big data in climate change evaluation and monitoring.

10/05/2018 (10th-16th)

WEEK 2

The students met to undertake tackle the following issues

  • We met to prepare the research tools which included questionnaires, note books, interview questions for research.
  • Provided the respondents with open-ended questionnaires and also issued the respondents with interview questions.
  • Gathered different view points from the participants to establish their understanding of big data and climate change.

17/05/2018 (17th-23rd)

WEEK 3

This week marked the period for the following activities.

  • The student carried out random sampling and provided the research respondents with questionnaires.
  • The research participants were then given the opportunity to reflect on their responses concerning big data solutions and climate change.
  • The respondents were categorized based on their demographic features such as age and gender.
  • Used of translators to communicate with respondents that could not understand English.

24/05/2018 (24th-30th)

WEEK 4

The researchers carried out several activities which included.

  • Performing content analysis and reviews of books, journal articles and publications to collect data about big data solutions and climate change.
  • Taking notes during research to remind the researcher some points after research.
  • Reviewing internet/online resources and engines.

31/05/2018 (31th-7th)

WEEK 5

The researcher carried out the following activities during this week.

  • The researcher gathered sample case studies concerning natural calamities such as floods and droughts.
  • Used tweets, GPS and Facebook tools to track natural disasters like tornados, hurricanes and droughts resulting from climate change.
  • Content analysis of different books, publications and journal articles to ascertain the role of big data in climate change evaluation and monitoring.

07/06/2018 (7th-14th)

WEEK 6

Activities

  • The researcher took the opportunity to assess the climate change vulnerabilities, risks and threats.
  • Implementing big data solutions to assess and evaluate climate change vulnerabilities.
  • Conducting the analysis of different books, journal articles and publications about big data applications.

15/06/2018 (15th-21th)

WEEK 7

Activities

  • The researcher was determined to understand Big data applications in multi-facet organizations.
  • The researcher implemented the applications of big data to solve problems in multi-facet organizations.
  • The researcher analyzed data collected from the interviews and questionnaires.

29/06/2018 (29th-5th)

WEEK 8

Activities

  • The researcher collected sample case studies of tsunamis, floods, tornados and hurricanes.
  • Use of tweets, GPS and Facebook tools to track natural disasters like tornados, hurricanes and droughts resulting from climate change.
  • Content analysis of different books, publications and journal articles to ascertain the role of big data in climate change evaluation and monitoring.

06/07/2018 (06th-9th)

WEEK 9

Activities

  • The researcher interpreted data collected about the application of big data during the research.
  • The researcher used data analysis tools to analyze and tabulate data collected during the field survey.
  • The researcher also tabulated different data collected in the field to synthesize raw data and make it ready for use.

10/07/2018 (10th-16th)

WEEK 10

The researcher carried out the following activities during this week.

  • The researcher gathered sample case studies concerning natural calamities such as floods and droughts.
  • Used tweets, GPS and Facebook tools to track natural disasters like tornados, hurricanes and droughts resulting from climate change.
  • Content analysis of different books, publications and journal articles to ascertain the role of big data in climate change evaluation and monitoring.

 

17/07/2018 (17th-22nd)

WEEK 11

Activities

  • The students were given the opportunity to present the processed data/information or research findings to class.
  • Got the opportunity to apply the research project presentation skills to earn high presentation marks.
  • The students were given the opportunity to analyze different information and presenting in front my fellow students.