Politics Research Paper Topics

<h1>Politics Research Paper Topics</h1><p>The reason for examining a political theory investigate paper is to find what kind of subjects can be utilized and how they will influence the outcomes. While it might appear to be sufficiently simple to do, there are a couple of issues that should be remembered before diving into an undertaking, and especially on Political Science investigate paper topics.</p><p></p><p>The first theme that must be remembered with the end goal of Political Science examine paper is the manner by which the point will affect the peruser. The sort of political discussion, you are occupied with will influence the paper theme from numerous points of view. In the event that the discussion is combative, at that point you will have a couple of more words to work with, however you may likewise need to pick a subject that has an unmistakable closure and no equivocalness. A theme that has some uncertainty and might be taken which ever way is presumably not the best point for a paper.</p><p></p><p>The second thing to remember with the end goal of Political Science examine paper is the means by which the subject influences the creator. This may incorporate to what extent the paper point will keep going for the creator, and whether it ought to be kept inside a solitary or different papers.</p><p></p><p>The third thing to remember with the end goal of Political Science examine paper is whether the paper theme is pertinent to the subject of Political Science itself. For instance, should the paper be an examination of why not somebody would cast a ballot Conservative?</p><p></p><p>This is especially significant on the grounds that it is conceivable to utilize various kinds of papers to create numerous papers, despite the fact that the accomplishment of each paper relies on the subject picked. You have to have a solitary theme, despite the fact that it is conceivable to settle on the decision of having various topics.</p><p></p><p>Finally, the fourth thing to remember with the end goal of Political Science inquire about paper is whether the subject is new in the creator's psyche. A few subjects might be more new in the creator's brain than others, and these may should be the ones that are utilized. New points are those that may raise thoughts that the creator has not experienced before.</p><p></p><p>These are the four things to remember with the end goal of Political Science inquire about paper. Utilizing these tips ought to guarantee that your paper themes are picked to create a decent nature of output.</p>

AP World History Essay Samples

<h1>AP World History Essay Samples</h1><p>AP World History Essay Samples can be found in a wide range of spots. A few people who have taken AP courses have a critical assortment of AP World History Essay Samples at home, or they can get them on the web. In any case, these expositions are composed by experts who have taken the course in college.</p><p></p><p>You may locate that a significant number of the AP course books at your neighborhood school store are composed by experts who have taken the AP class. This is generally the situation, in light of the fact that the course readings are made by proficient journalists who realize how to deliver an expert scholarly exposition. This is the reason they are considerably more liable to be elegantly composed and to incorporate appropriate language structure and punctuation.</p><p></p><p>Many schools offer a full arrangement of AP World History Essay Samples for you to look ov er when you register for the class. This implies you won't need to stress over getting one for every exercise you take. Numerous understudies don't have the foggiest idea about the various types of articles that they ought to compose, and this is the reason they need to ensure that they get a full set to pick from.</p><p></p><p>Writing an exposition like this ought not be hard. It ought not take both of you hours to peruse and compose, nor should it take you 60 minutes. You ought to experience no difficulty finishing this task in a couple of days, in light of the fact that the subjects and questions are sufficiently simple to comprehend that you ought not run into any issues. A portion of the inquiries posed in AP courses are not so troublesome, and this will help you in your objective of getting a passing mark on this assignment.</p><p></p><p>It is a smart thought to peruse the articles remembered for the AP World History Essay Sample s before you begin composing your own. You ought to have the option to perceive how the substance is introduced, and you ought to have the option to perceive what sorts of musings ought to be incorporated when you are composing your own paper. This will assist you with staying away from a portion of the normal mix-ups that are made when composing an essay.</p><p></p><p>Of course, it is in every case best to counsel the AP World History Essay Samples before you start composing your own article. In any case, there is one piece of this test you ought to consistently check when you are composing an exposition regarding any matter. This is the theme rundown section.</p><p></p><p>If you don't comprehend the subject of the exposition, you should take a gander at the point outline and ensure that it contains the entirety of the data that you have to begin on the theme. This will assist you with abstaining from making a passage that is on the w hole filler. This is an exposition composing tip that will pay off with incredible results.</p><p></p><p>You can discover AP World History Essay Samples for nothing on numerous sites. These materials ought to be utilized as a guide, and never as a substitution for an expert scholastic composing administration. Recall that an article like this is intended to be an activity in correspondence, and ought to be fascinating and eye-catching.</p>

How to Write a College Application Essay About a Book

How to Write a College Application Essay About a Book?Is writing a college application essay about a book? I mean, really think about it - it's not like you're writing a major story or a lengthy novel.I'm sure there are some students who wish they had a college application essay about a book to read over when they get home from school and they see the paper they've been assigned to write. But most of us don't. We simply sign up for a service that does that for us. It sounds like a great idea, but in reality it's not the best way to go.You need to be sure to write about something that you are passionate about. So, what is the best way to do this? The answer to that question is as important as any of the other questions I asked you.If you want to know how to write a college application essay about a book, look to a story that you actually enjoyed reading. I'm not talking about reading a non-fiction book, although that can be very enjoyable. I'm talking about reading a book that you lov ed to read. I mean that, just read and enjoy.When I talk about 'reading a book that you loved to read,' I mean that you read and enjoyed every single page. And I'm not talking about a 'passionate' read. This doesn't mean you flipped through the pages faster than you could chew or tried to escape from the page and found yourself doing it. You read because you were genuinely interested in the story.When you are writing a college application essay about a book, it's best to read one that you really enjoyed. You can do this by reading a recent book that is full of interesting characters, setting, or theme. You can do it by reading a biography that was well-written or one that was informative.A few tips for how to write a college application essay about a book, are not only obvious, but they also get to the heart of what makes a great college essay. Of course, these tips are more for you, the student than for the writing service that gave you the assignment. But the main point is that yo u will have the same 'I' moments when you're grading papers and delivering presentations, that you did when you were reading and enjoying a good book.This is the only way to truly get a great grade on an essay or any other assignment that you write. Try to enjoy writing and write about things that you're interested in or things that you're passionate about.

Evaluation of NoSQL Databases for Data Analysis - 275 Words

Evaluation of NoSQL Databases for Data Analysis (Dissertation Sample) Content: EVALUATION OF NoSQL DATABASES FOR DATA ANALYSIS(Name)(Course)(Tutor)School (University)Date DECLARATIONBy submitting this work, I declare that this work is entirely my own except those parts duly identified and referenced in my submission. It complies with any specified word limits and the requirements and regulations detailed in the assessment instructions and any other relevant programme and module documentation. In submitting this work I acknowledge that I have read and understood the regulations and code regarding academic misconduct, including that relating to plagiarism, as specified in the Programme Handbook. I also acknowledge that this work will be subject to a variety of checks for academic misconduct. ABSTRACTThe research sought to evaluate and establish the different types of NoSQL databases for data analysis. SQL databases have been used for a long time in data storage and retrieval, yet they are cumbered by the problem of unstructured data and scalabil ity. The research paper dealt with the scalability issue of the relational databases and how the non-relational databases solved the scalability problem. The research paper shows how non-relational databases developed a new set of data management features supporting data analytics and overcoming the challenges of relational databases. The research paper also defined the advantages of adopting various database systems and their benefits. With particular concentration on the four classifications of NoSQL databases and an example in each, the research paper compared the databases on grounds of data model, handling of relational information, performing of aggregation tasks and querying to finally determine the database that was best suited to undertake tasks that relate to data analytics and performance of analytical tasks in relation to unstructured data. TABLE OF CONTENTS TOC \o "1-3" \h \z \u  HYPERLINK \l "_Toc430875960"
DECLARATION  PAGEREF _Toc430875960 \h
2 HYPERLINK \l "_Toc430875961"
ABSTRACT  PAGEREF _Toc430875961 \h
3 HYPERLINK \l "_Toc430875962"
1.0 INTRODUCTION  PAGEREF _Toc430875962 \h
6 HYPERLINK \l "_Toc430875963"
1.1 Problem Statement  PAGEREF _Toc430875963 \h
9 HYPERLINK \l "_Toc430875964"
1.2 Research Aims and Objectives  PAGEREF _Toc430875964 \h
10 HYPERLINK \l "_Toc430875965"
1.3 Structure of Report  PAGEREF _Toc430875965 \h
11 HYPERLINK \l "_Toc430875966"
2.0 LITERATURE REVIEW  PAGEREF _Toc430875966 \h
12 HYPERLINK \l "_Toc430875967"
2.1 Development and Evolution of NoSQL Databases  PAGEREF _Toc430875967 \h
12 HYPERLINK \l "_Toc430875968"
2.2 Data Analysis using NoSQL Databases  PAGEREF _Toc430875968 \h
13 HYPERLINK \l "_Toc430875969"
2.3 Models of Distribution  PAGEREF _Toc430875969 \h
14 HYPERLINK \l "_Toc430875970"
2.4 CAP Theorem  PAGEREF _Toc430875970 \h
15 HYPERLINK \l "_Toc430875971"
2.5 Relational (SQL) v Non-relational Databases (NoSQL)  PA GEREF _Toc430875971 \h
16 HYPERLINK \l "_Toc430875972"
2.6 Types of NoSQL databases  PAGEREF _Toc430875972 \h
18 HYPERLINK \l "_Toc430875973"
2.7 Preview of Some NoSQL Solutions  PAGEREF _Toc430875973 \h
19 HYPERLINK \l "_Toc430875974"
3.0 RESEARCH METHODOLOGY  PAGEREF _Toc430875974 \h
21 HYPERLINK \l "_Toc430875975"
3.1 Introduction  PAGEREF _Toc430875975 \h
21 HYPERLINK \l "_Toc430875976"
3.2 Research Methodology  PAGEREF _Toc430875976 \h
21 HYPERLINK \l "_Toc430875977"
3.3 Research Design  PAGEREF _Toc430875977 \h
24 HYPERLINK \l "_Toc430875978"
3.4 Data Collection Techniques  PAGEREF _Toc430875978 \h
24 HYPERLINK \l "_Toc430875979"
3.5 Sampling Techniques  PAGEREF _Toc430875979 \h
25 HYPERLINK \l "_Toc430875980"
4.0 RESULT PRESENTATION, ANALYSIS AND DISCUSSION  PAGEREF _Toc430875980 \h
28 HYPERLINK \l "_Toc430875981"
4.1 Introduction  PAGEREF _Toc430875981 \h
28 HYPERLINK \l "_Toc430875982"
4. 2 Result Presentation  PAGEREF _Toc430875982 \h
29 HYPERLINK \l "_Toc430875983"
4.2.1 Key-value Stores (REDIS as the Case Study)  PAGEREF _Toc430875983 \h
29  HYPERLINK \l "_Toc430875984"
4.2.2 Column-based Database (Cassandra as the Case Study)  PAGEREF _Toc430875984 \h
34  HYPERLINK \l "_Toc430875985"
4.2.3 Document-based Database (MongoDB as the Case Study)  PAGEREF _Toc430875985 \h
38 HYPERLINK \l "_Toc430875986"
4.2.4 Graph-based Database (Neo4J as the Case Study)  PAGEREF _Toc430875986 \h
43 HYPERLINK \l "_Toc430875987"
4.3.5 Performance, Availability and Scalability of Key-value Store Databases (REDIS)  PAGEREF _Toc430875987 \h
50 HYPERLINK \l "_Toc430875988"
4.3.6 Performance, Availability and Scalability of Column Family Databases (Cassandra)  PAGEREF _Toc430875988 \h
51 HYPERLINK \l "_Toc430875989"
4.3.7 Performance, Availability and Scalability of Document Store Databases (MongoDB)  PAGEREF _Toc430875989 \h
53 HYPERLINK \l "_Toc430875990"
4.3.8 Performance, Availability and Scalability of Graph-Based Databases (Neo4J)  PAGEREF _Toc430875990 \h
55 HYPERLINK \l "_Toc430875991"
5.0 CONCLUSION AND RECOMMENDATIONS  PAGEREF _Toc430875991 \h
56 HYPERLINK \l "_Toc430875992"
5.1 General Overview  PAGEREF _Toc430875992 \h
56 HYPERLINK \l "_Toc430875993"
5.2 Limitations of the Study  PAGEREF _Toc430875993 \h
58 HYPERLINK \l "_Toc430875994"
5.3 Recommendations for Action  PAGEREF _Toc430875994 \h
58 HYPERLINK \l "_Toc430875995"
5.4 Recommendations for Further Research  PAGEREF _Toc430875995 \h
59 HYPERLINK \l "_Toc430875996"
REFERENCES  PAGEREF _Toc430875996 \h
60 HYPERLINK \l "_Toc430875997"
APPENDIX A  PAGEREF _Toc430875997 \h
63 HYPERLINK \l "_Toc430875998"
APPENDIX B  PAGEREF _Toc430875998 \h
73 HYPERLINK \l "_Toc430875999"
APPENDIX C  PAGEREF _Toc430875999 \h
77 HYPERLINK \l "_Toc430876000"
APPENDIX D  PAGEREF _To c430876000 \h
79 HYPERLINK \l "_Toc430876001"
APPENDIX E  PAGEREF _Toc430876001 \h
821.0 INTRODUCTIONNoSQL databases are a wide variety of non-relational database management systems that were developed to cater for issues such as volume of data stored for users, frequency of data access, performance and the needs that arise with analysing and processing such data to arrive at logical conclusions. NoSQL databases are normally preferred when the volume of data is large and cannot be handled using relational databases. They are normally distributed and process data in a parallel manner across a large number of servers effectively. NoSQL databases were invented by companies that were encountering problems dealing with large amounts of data while performing data analytics either predictively or for deriving conclusions. Some of the companies that came up with the idea are industry leaders such as Google and Facebook.SQL queries are often used to retrieve data in a fast and e fficient manner that embraces well-defined standards. With the use of standard SQL coupled with lack of substantial coding, it is easier to manage SQL databases. According to Bhatnagar (2008), it is hard to create an interface for SQL databases and expand them according to the large volumes of data to allow entering of the data into the database. NoSQL databases provide high performance and low latency. The major difference, however, between relational databases and NoSQL databases is the lack of an explicit data schema. NoSQL databases have a non-relational dynamic schema-less design that effectively examines and analyses raw data or datasets for the purposes of drawing conclusions. NoSQL databases rarely require schemas, and in case one is needed, they deduce the schema from already stored data. Consequently, there has been more development and increase in use of NoSQL databases that offer increased replication and scalability. These were developed to curb the loopholes that come with relational databases and aid in a more perfect data management system. The features of NoSQL databases allow for effective data analytics since, unlike relational databases, NoSQL databases are not affected by the big data problem that arises when standard SQL operations do not have acceptable performances in transactions (Edlich, 2015). Due to the large volumes of data that are flowing in on a daily basis, data analytics comes in handy for the purposes of determining what actually is important to business growth and what is not. It unearths patterns that cannot be deciphered easily. It also shows correlations used to make very important decisions (Croll Yoscovitz, 2013). Data scientists are in a position to analyse large amounts of data depending on the databases they are stored in and the accessibility of those databases. The outcome of the analytics goes on to prove what data are really essential and what are not essential to the organisations progress. There are a high num ber of NoSQL databases (around 170) and they are classified into different classes or models including key-value stores, document stores, column family stores and graph based databases. NoSQL databases at times incorporate several models at once. The key-value store, which is the simplest data model, is an associative array that is distributed persistently. Also known as K-V store, it has a key that is an identifier for a value. It may be used to share data across applications, like while storing session data for a specific user (Edlich, 2015). The document store normally stores object data that is semi-structured and the JSON format represents the metadata and objects. The column-oriented store is an advanced key-value store that organises data in their own individual column... Evaluation of NoSQL Databases for Data Analysis - 275 Words Evaluation of NoSQL Databases for Data Analysis (Dissertation Sample) Content: EVALUATION OF NoSQL DATABASES FOR DATA ANALYSIS(Name)(Course)(Tutor)School (University)Date DECLARATIONBy submitting this work, I declare that this work is entirely my own except those parts duly identified and referenced in my submission. It complies with any specified word limits and the requirements and regulations detailed in the assessment instructions and any other relevant programme and module documentation. In submitting this work I acknowledge that I have read and understood the regulations and code regarding academic misconduct, including that relating to plagiarism, as specified in the Programme Handbook. I also acknowledge that this work will be subject to a variety of checks for academic misconduct. ABSTRACTThe research sought to evaluate and establish the different types of NoSQL databases for data analysis. SQL databases have been used for a long time in data storage and retrieval, yet they are cumbered by the problem of unstructured data and scalabil ity. The research paper dealt with the scalability issue of the relational databases and how the non-relational databases solved the scalability problem. The research paper shows how non-relational databases developed a new set of data management features supporting data analytics and overcoming the challenges of relational databases. The research paper also defined the advantages of adopting various database systems and their benefits. With particular concentration on the four classifications of NoSQL databases and an example in each, the research paper compared the databases on grounds of data model, handling of relational information, performing of aggregation tasks and querying to finally determine the database that was best suited to undertake tasks that relate to data analytics and performance of analytical tasks in relation to unstructured data. TABLE OF CONTENTS TOC \o "1-3" \h \z \u  HYPERLINK \l "_Toc430875960"
DECLARATION  PAGEREF _Toc430875960 \h
2 HYPERLINK \l "_Toc430875961"
ABSTRACT  PAGEREF _Toc430875961 \h
3 HYPERLINK \l "_Toc430875962"
1.0 INTRODUCTION  PAGEREF _Toc430875962 \h
6 HYPERLINK \l "_Toc430875963"
1.1 Problem Statement  PAGEREF _Toc430875963 \h
9 HYPERLINK \l "_Toc430875964"
1.2 Research Aims and Objectives  PAGEREF _Toc430875964 \h
10 HYPERLINK \l "_Toc430875965"
1.3 Structure of Report  PAGEREF _Toc430875965 \h
11 HYPERLINK \l "_Toc430875966"
2.0 LITERATURE REVIEW  PAGEREF _Toc430875966 \h
12 HYPERLINK \l "_Toc430875967"
2.1 Development and Evolution of NoSQL Databases  PAGEREF _Toc430875967 \h
12 HYPERLINK \l "_Toc430875968"
2.2 Data Analysis using NoSQL Databases  PAGEREF _Toc430875968 \h
13 HYPERLINK \l "_Toc430875969"
2.3 Models of Distribution  PAGEREF _Toc430875969 \h
14 HYPERLINK \l "_Toc430875970"
2.4 CAP Theorem  PAGEREF _Toc430875970 \h
15 HYPERLINK \l "_Toc430875971"
2.5 Relational (SQL) v Non-relational Databases (NoSQL)  PA GEREF _Toc430875971 \h
16 HYPERLINK \l "_Toc430875972"
2.6 Types of NoSQL databases  PAGEREF _Toc430875972 \h
18 HYPERLINK \l "_Toc430875973"
2.7 Preview of Some NoSQL Solutions  PAGEREF _Toc430875973 \h
19 HYPERLINK \l "_Toc430875974"
3.0 RESEARCH METHODOLOGY  PAGEREF _Toc430875974 \h
21 HYPERLINK \l "_Toc430875975"
3.1 Introduction  PAGEREF _Toc430875975 \h
21 HYPERLINK \l "_Toc430875976"
3.2 Research Methodology  PAGEREF _Toc430875976 \h
21 HYPERLINK \l "_Toc430875977"
3.3 Research Design  PAGEREF _Toc430875977 \h
24 HYPERLINK \l "_Toc430875978"
3.4 Data Collection Techniques  PAGEREF _Toc430875978 \h
24 HYPERLINK \l "_Toc430875979"
3.5 Sampling Techniques  PAGEREF _Toc430875979 \h
25 HYPERLINK \l "_Toc430875980"
4.0 RESULT PRESENTATION, ANALYSIS AND DISCUSSION  PAGEREF _Toc430875980 \h
28 HYPERLINK \l "_Toc430875981"
4.1 Introduction  PAGEREF _Toc430875981 \h
28 HYPERLINK \l "_Toc430875982"
4. 2 Result Presentation  PAGEREF _Toc430875982 \h
29 HYPERLINK \l "_Toc430875983"
4.2.1 Key-value Stores (REDIS as the Case Study)  PAGEREF _Toc430875983 \h
29  HYPERLINK \l "_Toc430875984"
4.2.2 Column-based Database (Cassandra as the Case Study)  PAGEREF _Toc430875984 \h
34  HYPERLINK \l "_Toc430875985"
4.2.3 Document-based Database (MongoDB as the Case Study)  PAGEREF _Toc430875985 \h
38 HYPERLINK \l "_Toc430875986"
4.2.4 Graph-based Database (Neo4J as the Case Study)  PAGEREF _Toc430875986 \h
43 HYPERLINK \l "_Toc430875987"
4.3.5 Performance, Availability and Scalability of Key-value Store Databases (REDIS)  PAGEREF _Toc430875987 \h
50 HYPERLINK \l "_Toc430875988"
4.3.6 Performance, Availability and Scalability of Column Family Databases (Cassandra)  PAGEREF _Toc430875988 \h
51 HYPERLINK \l "_Toc430875989"
4.3.7 Performance, Availability and Scalability of Document Store Databases (MongoDB)  PAGEREF _Toc430875989 \h
53 HYPERLINK \l "_Toc430875990"
4.3.8 Performance, Availability and Scalability of Graph-Based Databases (Neo4J)  PAGEREF _Toc430875990 \h
55 HYPERLINK \l "_Toc430875991"
5.0 CONCLUSION AND RECOMMENDATIONS  PAGEREF _Toc430875991 \h
56 HYPERLINK \l "_Toc430875992"
5.1 General Overview  PAGEREF _Toc430875992 \h
56 HYPERLINK \l "_Toc430875993"
5.2 Limitations of the Study  PAGEREF _Toc430875993 \h
58 HYPERLINK \l "_Toc430875994"
5.3 Recommendations for Action  PAGEREF _Toc430875994 \h
58 HYPERLINK \l "_Toc430875995"
5.4 Recommendations for Further Research  PAGEREF _Toc430875995 \h
59 HYPERLINK \l "_Toc430875996"
REFERENCES  PAGEREF _Toc430875996 \h
60 HYPERLINK \l "_Toc430875997"
APPENDIX A  PAGEREF _Toc430875997 \h
63 HYPERLINK \l "_Toc430875998"
APPENDIX B  PAGEREF _Toc430875998 \h
73 HYPERLINK \l "_Toc430875999"
APPENDIX C  PAGEREF _Toc430875999 \h
77 HYPERLINK \l "_Toc430876000"
APPENDIX D  PAGEREF _To c430876000 \h
79 HYPERLINK \l "_Toc430876001"
APPENDIX E  PAGEREF _Toc430876001 \h
821.0 INTRODUCTIONNoSQL databases are a wide variety of non-relational database management systems that were developed to cater for issues such as volume of data stored for users, frequency of data access, performance and the needs that arise with analysing and processing such data to arrive at logical conclusions. NoSQL databases are normally preferred when the volume of data is large and cannot be handled using relational databases. They are normally distributed and process data in a parallel manner across a large number of servers effectively. NoSQL databases were invented by companies that were encountering problems dealing with large amounts of data while performing data analytics either predictively or for deriving conclusions. Some of the companies that came up with the idea are industry leaders such as Google and Facebook.SQL queries are often used to retrieve data in a fast and e fficient manner that embraces well-defined standards. With the use of standard SQL coupled with lack of substantial coding, it is easier to manage SQL databases. According to Bhatnagar (2008), it is hard to create an interface for SQL databases and expand them according to the large volumes of data to allow entering of the data into the database. NoSQL databases provide high performance and low latency. The major difference, however, between relational databases and NoSQL databases is the lack of an explicit data schema. NoSQL databases have a non-relational dynamic schema-less design that effectively examines and analyses raw data or datasets for the purposes of drawing conclusions. NoSQL databases rarely require schemas, and in case one is needed, they deduce the schema from already stored data. Consequently, there has been more development and increase in use of NoSQL databases that offer increased replication and scalability. These were developed to curb the loopholes that come with relational databases and aid in a more perfect data management system. The features of NoSQL databases allow for effective data analytics since, unlike relational databases, NoSQL databases are not affected by the big data problem that arises when standard SQL operations do not have acceptable performances in transactions (Edlich, 2015). Due to the large volumes of data that are flowing in on a daily basis, data analytics comes in handy for the purposes of determining what actually is important to business growth and what is not. It unearths patterns that cannot be deciphered easily. It also shows correlations used to make very important decisions (Croll Yoscovitz, 2013). Data scientists are in a position to analyse large amounts of data depending on the databases they are stored in and the accessibility of those databases. The outcome of the analytics goes on to prove what data are really essential and what are not essential to the organisations progress. There are a high num ber of NoSQL databases (around 170) and they are classified into different classes or models including key-value stores, document stores, column family stores and graph based databases. NoSQL databases at times incorporate several models at once. The key-value store, which is the simplest data model, is an associative array that is distributed persistently. Also known as K-V store, it has a key that is an identifier for a value. It may be used to share data across applications, like while storing session data for a specific user (Edlich, 2015). The document store normally stores object data that is semi-structured and the JSON format represents the metadata and objects. The column-oriented store is an advanced key-value store that organises data in their own individual column...