1. What things would you want to know about a database problem before recommending a SQL or NoSQL or BigData solution that would help you make that recommendation?
Answer:
I would like to know if there is current data base and what type is used: Excel table, Access DB, SQL, NoSQL, and Word Documents. Then I would like to know how big current Data Base or Datasets is. Then I would like to know what representation of data in Data Set is: key-value, raw data, tables, schemas, structure or not. Next I will check what HW resources is: PC Servers, EC2, OS, and Clusters. Then I would like to know, what protection is and duplication level is needed. If it would be new project from scratch, then additional to questions above I would like to know
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Let’s take Unis OS that has offer very limited user interface for file system and command like “ls”, “grep” and “find” that allow us to list or find files, but only support a limited query language, and extend them with richer queries, Like :
a) Find all directories that contain an *.c file and an *.obj file with the same name but where the obj file is older than the c file
b) List all directories in decreasing order of the number of files; list all directories in decreasing order of the total amount of space used in that directory
c) Find duplicate files across all directories, i.e. files with the same name, same content
d) search in all directories that contain some .pdf file for all files that contain the words 'Conclusion ' and 'Introduction '
The schema of data will have table with following:
File name, Directory Structure, File Attribute, File Content and File signature
Representation will be a WEB service.
3. Describe in a few sentences a business or computational problem you would want to solve with a NoSQL database, and what makes NoSQL a better choice in this case?
Answer: NoSQL DB is document based DB and represented in collection without solid structure key-value pairs, documents, graph Db or wide-column stores and has not predefine schema, use Dynamic schema. NoSQL DB is horizontally scalable that will increase amount of DB servers in the pool of
Describe the types of facility you would expect to be provided in a multi-user DBMS.
In order to overcome these limitations, a new database model known as Not Only SQL (NoSQL) database emerged with a set of new features. The main objective of NoSQL is not to discard SQL, but to be used as an alternative database data model for new features [1] [2] [3]. NoSQL database increases the performance of relational databases by a set of new characteristics and advantages. In contrast to relational databases, NoSQL databases introduced an additional feature that provides flexible and horizontal scalability and taking advantage of new clusters. The rise of NoSQL provides cost-effective management of data in modern web applications. With its new features, NoSQL can be used with applications that have a large transaction, and require low-latency access to huge datasets, service availability while
Provide reasoning to support the use of the NoSQL database as the database of choice to solve the problem faced by TWC. Identify one strength and one weakness for each of the other three kinds of databases to solve the problem for TWC.
Ans: Storage requirements: -Many reasons are available to analyze the wants for Storage Server database. In addition to the physical size of the database, it is necessary to take into account the requirements for transaction increase
What makes an Enterprise NoSQL database different from Non-Enterprise is the way it handles enterprise-class and enterprise scale application. Enterprise NoSQL needs to be secure because security of the modern enterprise is built in such a way that it does not allow user, as well as developers, access to data stored in the database especially its sensitive data. That is why some NoSQL vendors advertise their product as having better security privileges that meet the standards of a number of Government and business programs.
Big data is an element that allows companies to leverage high volume data effectively and not in isolation. Big data needs to be quickly accessible and have the ability to be analyzed. Data stores or warehouses are one way data is managed that is persistent, protected and available as long as the data is needed. The forefather to data stores is relational data bases, relational data bases put in place decades ago are still in use today
NoSQL was created to remedy the architecture of relational databases, to make the schema more dynamic and ever expanding. With the emergence of cloud computing, unstructured data such as social media posts in need of storage, and Agile development practice, The Document
In Nowadays, there are two major of database management systems which are use to deal with data, the first one called Relational Database Management System (RDBMS) which is the traditional relational databases, it deals with structured data and have been popular since decades since 1970, while the second one called Not only Structure Query Language databases (NoSQL), they are dealing with semi-structured and unstructured data; the NoSQL types are gaining their popularity with the development of the internet and the social media since April 2009. NoSQL are intending to override the cons of RDBMs, such as fixed schemas, JOIN operations and handling the scalability problems. In this paper we will review one of the graph database (Neo4j), which the graph database is part of the emerging technology that is called NoSQL and compared it with one of the traditional relational database (MySQL). MySQL, it is being another name for Relational Databases and it has been used for a long period time until now. However, with the emergence of Big Data there was clearly a need for more flexible databases. Facebook 's Graph Search using Neo4j, a graph database, is an application which clearly displays how relationships need to be modeled in a more efficient and sophisticated manner than using conventional relational models. In this paper, we will make a compare between MySQL and Neo4j based on the features like ACID, replication, availability and the language that is used in both of
NoSQL databases are a significant departure from the relational model that has dominated the business world for the past few decades. Standing for “Not Only SQL,” these products are all some variation of a non-relational, key-value pair database, and they are becoming very popular with companies that use Big Data and prioritize speed or availability over consistency of data.
NoSQL is able to address the massive traffic loads experienced by database servers at corporations that specialize in data processing like Google, Facebook and Amazon. NoSQL technologies can provide near constant availability, massive user concurrency and lightning fast responses. There are four primary NoSQL database implementation types being used today: document based, wide column (or columnar), key-value and graph. The different properties of SQL and NoSQL databases will be examined and an overview of each NoSQL implementation type along with an example will be given.
The modern RDBMS advancements are not capable of supporting unstructured information with ideal space necessity. The plan winds up plainly mind-boggling and is henceforth troublesome for designers. The requirement for unstructured information administration is so annoying with conventional RDBMS arrangements (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). Moreover, RDBMS turns out to be an exorbitant answer for creating light-footed web applications with direct information investigation necessities. NoSQL is developing as a proficient possibility in this situation, which connects the issues related with RDBMS innovation. The market development can credit to creative dispatches of NoSQL arrangements, and collective endeavors by NoSQL sellers and clients. The endeavors of organizations, to enhance their market offerings, are creating the request of NoSQL, as a back-end bolster (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). The emergence of agile software development is creating the demand for NoSQL (Big data in financial services industry: Market trends, challenges, and prospects 2013 - 2018). They offer users much more avenues to accept data in many different forms. NoSQL is adaptable as SQL but offers many more uses that can apply to many organizations.
This report basically describes the process of design NoSQL systems for data persisence and implementation of design and the solution of tasks that we are required. The dataset we worked with is a music dataset from lastfm and the designs for MongoDB, HBase and Neo4j are based on the dataset features and given queries. The implementation includes creating databases, setting up the schema and running queries, followed by testing the performance. There are also iteration designs for each system in order to gain higher performance.
In comparison to relational databases, NoSQL databases are better at providing superb performance while handling data of large scale and variable structures
P1 - Explain the features of a relational database. This is to be shown as a report or presentation and must discuss the following.
Currently, there are two major of database management systems which are used to deal with data, the first one called Relational Database Management System (RDBMS) which is the traditional relational databases, it deals with structured data and have been popular since decades from 1970, while the second one called Not only Structure Query Language databases (NoSQL), they have been dealing with semi-structured and unstructured data; the NoSQL term was introduced for the first time in 1998 by Carlo Strozzi and Eric Evans reintroduced the term NoSQL in early 2009, and now the NoSQL types are gaining their popularity with the development of the internet and the social media. NoSQL are intending to override the cons of RDBMS, such as fixed schemas, JOIN operations and handling the scalability problems. With the appearance of Big Data,