This paper trying to focus on main features, advantages and applications of non-relational database namely Mongo DB and thus justifying why MongoDB is more suitable than relational databases in big data applications. The database used here for comparison with MongoDB is MySQL. The main features of MongoDB are flexibility, scalability, auto sharding and replication. MongoDB is used in big data and real time web applications since it is a leading database technology.
MongoDB Atlas makes it easy to set up, operate, and scale your MongoDB deployments in the cloud. From high availability to scalability, security to disaster recovery - we've got you covered.
Automated: With MongoDB Atlas, you no longer need to worry about operational tasks such as provisioning, configuration, patching, upgrades, backups, and failure recovery. MongoDB Atlas provides the functionality and reliability you need, at the click of a button.
Flexible: Only MongoDB Atlas combines the critical capabilities of relational databases with the innovations of NoSQL. Radically simplify development and operations by delivering a diverse range of capabilities in a single, managed database platform.
Secure: MongoDB Atlas provides multiple levels of security for your database. These include robust access control, network isolation using Amazon VPC, IP whitelists, encryption of data in-flight using TLS/SSL, and optional encryption of the underlying filesystem.
Scalable: MongoDB Atlas grows with you, all with the click of a button. You can scale up across a range of instance sizes, and scale-out with automatic sharding. And you can do it with zero application downtime.
Highly Available: MongoDB Atlas is designed to offer exceptional uptime. Recovery from instance failures is transparent and fully automated. A minimum of three copies of your data are replicated across availability zones and continuously backed up.
High Performance: MongoDB Atlas provides high throughput and low latency for the most demanding workloads. Consistent, predictable performance eliminates the need for separate caching tiers, and delivers a far better price-performance ratio compared to traditional database software.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
Firebase is a mobile and web application platform with tools and infrastructure designed to help developers build high-quality apps. Firebase is made up of complementary features that developers can mix-and-match to fit their needs.
게임을 위한 최적의 AWS DB 서비스 소개 Dynamo DB, Aurora - 이종립 / Principle Enterprise Evang...BESPIN GLOBAL
지난 11월 Bespin Gaming Day 행사의 발표 자료를 통해 게임을 위한 최적의 AWS DB 서비스를 소개하겠습니다.
게임에 관련된 데이터에 대한 고민은 무척 다양합니다. 큰 범주로 나누어 보면 다음과 같습니다.
- DR은 어떻게 구축하지?
- 데이터 분석은 어떻게 해야하지?
- 고성능, 고가용성의 AWS DBMS 선택
- AI/ML은 어떻게 적용하지?
이런 게임 아키텍처의 현실과 고민을 해결하기 위한 관계형 DB Amazon Aurora와 No SQL DB Amazon Dynamo DB를 소개하고 데모에 대해 자세히 살펴보겠습니다.
MongoDB is the most famous and loved NoSQL database. It has many features that are easy to handle when compared to conventional RDBMS. These slides contain the basics of MongoDB.
In this presentation, Raghavendra BM of Valuebound has discussed the basics of MongoDB - an open-source document database and leading NoSQL database.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Twitter: http://bit.ly/2gFPTi8
The Campus Symposium is an annual event at BiTS University of Apllied Sciences in Iserlohn, Germany. This year the topic of the two day conference will be "Sustainibility". Featured speakers are Nobel Peace Price Laureate Al Gore, Erich Sixt, Tjörborn Possne, etc.
The conference in the 4000 sqm tent city is organised solely by students of BiTS University.
MongoDB Atlas makes it easy to set up, operate, and scale your MongoDB deployments in the cloud. From high availability to scalability, security to disaster recovery - we've got you covered.
Automated: With MongoDB Atlas, you no longer need to worry about operational tasks such as provisioning, configuration, patching, upgrades, backups, and failure recovery. MongoDB Atlas provides the functionality and reliability you need, at the click of a button.
Flexible: Only MongoDB Atlas combines the critical capabilities of relational databases with the innovations of NoSQL. Radically simplify development and operations by delivering a diverse range of capabilities in a single, managed database platform.
Secure: MongoDB Atlas provides multiple levels of security for your database. These include robust access control, network isolation using Amazon VPC, IP whitelists, encryption of data in-flight using TLS/SSL, and optional encryption of the underlying filesystem.
Scalable: MongoDB Atlas grows with you, all with the click of a button. You can scale up across a range of instance sizes, and scale-out with automatic sharding. And you can do it with zero application downtime.
Highly Available: MongoDB Atlas is designed to offer exceptional uptime. Recovery from instance failures is transparent and fully automated. A minimum of three copies of your data are replicated across availability zones and continuously backed up.
High Performance: MongoDB Atlas provides high throughput and low latency for the most demanding workloads. Consistent, predictable performance eliminates the need for separate caching tiers, and delivers a far better price-performance ratio compared to traditional database software.
This presentation is related to nosql database and nosql database types information. this presentationa also contains discussion about, how mongodb works and mongodb security and mongodb sharding information.
Firebase is a mobile and web application platform with tools and infrastructure designed to help developers build high-quality apps. Firebase is made up of complementary features that developers can mix-and-match to fit their needs.
게임을 위한 최적의 AWS DB 서비스 소개 Dynamo DB, Aurora - 이종립 / Principle Enterprise Evang...BESPIN GLOBAL
지난 11월 Bespin Gaming Day 행사의 발표 자료를 통해 게임을 위한 최적의 AWS DB 서비스를 소개하겠습니다.
게임에 관련된 데이터에 대한 고민은 무척 다양합니다. 큰 범주로 나누어 보면 다음과 같습니다.
- DR은 어떻게 구축하지?
- 데이터 분석은 어떻게 해야하지?
- 고성능, 고가용성의 AWS DBMS 선택
- AI/ML은 어떻게 적용하지?
이런 게임 아키텍처의 현실과 고민을 해결하기 위한 관계형 DB Amazon Aurora와 No SQL DB Amazon Dynamo DB를 소개하고 데모에 대해 자세히 살펴보겠습니다.
MongoDB is the most famous and loved NoSQL database. It has many features that are easy to handle when compared to conventional RDBMS. These slides contain the basics of MongoDB.
In this presentation, Raghavendra BM of Valuebound has discussed the basics of MongoDB - an open-source document database and leading NoSQL database.
----------------------------------------------------------
Get Socialistic
Our website: http://valuebound.com/
LinkedIn: http://bit.ly/2eKgdux
Facebook: https://www.facebook.com/valuebound/
Twitter: http://bit.ly/2gFPTi8
The Campus Symposium is an annual event at BiTS University of Apllied Sciences in Iserlohn, Germany. This year the topic of the two day conference will be "Sustainibility". Featured speakers are Nobel Peace Price Laureate Al Gore, Erich Sixt, Tjörborn Possne, etc.
The conference in the 4000 sqm tent city is organised solely by students of BiTS University.
Reise nach Indien? Kulturschock!
Indien ist exotisch, anders und einfach nur merkwürdig, bei Deiner ersten Reise auf den Subkontinent. Einige Beispiele des Indian Way of Life in einer Infografik.
Mehr zur Sprache "Hinglish" und zu Indien im flocblog Reiseblog http://www.flocutus.de/indien-ist-anders-infografik/
A pesquisadora do IEA, Renata Martins Sampaio, concedeu informações sobre a safra de amendoim em matéria publicada na revista do 9º Prêmio ABAG/RP de Jornalismo “José Hamilton Ribeiro”.
Everything You Need to Know About MongoDB Development.pptx75waytechnologies
Today, organizations from different verticals want to harness the power of data to grab new business opportunities and touch new heights of success. Such an urge leads them to follow unique ways to use and handle data effectively. After all, the right use of data boosts the ability to make business decisions faster. But at the same time, working with data is not as easy as a walk in the garden. It sometimes turns out to be a long-standing problem for businesses that also affects their overall functioning.
Companies expect fast phase development and better data management in every scenario. Modern web-based applications development demands a quality working system that can be deployed faster, and the application is able to scale in the future as per the constantly changing environment.
Earlier, relational databases were used as a primary data store for web application development. But today, developers show a high interest in adopting alternative data stores for modern applications such as NoSQL (Not Only Structured Query Language) because of its incredible benefits. And if you ask us, one of the technologies that can do wonders in modern web-based application development is MongoDB.
MongoDB is the first name strike in our heads when developing scalable applications with evolving data schemas. Because MongoDB is a document database, it makes it easier for developers to store both structured and unstructured data. Stores and handles large amounts of data quickly, MongoDB is undoubtedly the smart move toward building scalable and data-driven applications. If you’re wondering what MongoDB is and how it can help your digital success, this blog is surely for you.
how_can_businesses_address_storage_issues_using_mongodb.pdfsarah david
MongoDB enables seamless data storage and performance. Explore our blog to learn how MongoDB handles storage issues for startups and large-scale enterprises. Discover how to optimize MongoDB performance using open-source database storage.
how_can_businesses_address_storage_issues_using_mongodb.pptxsarah david
MongoDB enables seamless data storage and performance. Explore our blog to learn how MongoDB handles storage issues for startups and large-scale enterprises. Discover how to optimize MongoDB performance using open-source database storage.
MONGODB VS MYSQL: A COMPARATIVE STUDY OF PERFORMANCE IN SUPER MARKET MANAGEME...ijcsity
A database is information collection that is organized in tables so that it can easily be accessed, managed, and updated. It is the collection of tables, schemas, queries, reports, views and other objects. The data are typically organized to model in a way that supports processes requiring information, such as modelling to find a hotel with availability of rooms, thus the people can easily locate the hotels with vacancies. There are many databases commonly, relational and non relational databases. Relational databases usually work with structured data and non relational databases are work with semi structured data. In this paper, the performance evaluation of MySQL and MongoDB is performed where MySQL is an example of relational database and MongoDB is an example of non relational databases. A relational database is a data structure that allows you to connect information from different 'tables', or different types of data buckets. Non-relational database stores data without explicit and structured mechanisms to link data from different buckets to one another. This paper discuss about the performance of MongoDB and MySQL in the field of Super Market Management System. A supermarket is a large form of the traditional grocery store also a self-service shop offering a wide variety of food and household products, organized in systematic manner. It is larger and has a open selection than a traditional grocery store.
MONGODB VS MYSQL: A COMPARATIVE STUDY OF PERFORMANCE IN SUPER MARKET MANAGEME...ijcsity
A database is information collection that is organized in tables so that it can easily be accessed, managed,
and updated. It is the collection of tables, schemas, queries, reports, views and other objects. The data are
typically organized to model in a way that supports processes requiring information, such as modelling to
find a hotel with availability of rooms, thus the people can easily locate the hotels with vacancies. There
are many databases commonly, relational and non relational databases. Relational databases usually work
with structured data and non relational databases are work with semi structured data. In this paper, the
performance evaluation of MySQL and MongoDB is performed where MySQL is an example of relational
database and MongoDB is an example of non relational databases. A relational database is a data
structure that allows you to connect information from different 'tables', or different types of data buckets.
Non-relational database stores data without explicit and structured mechanisms to link data from different
buckets to one another. This paper discuss about the performance of MongoDB and MySQL in the field of
Super Market Management System. A supermarket is a large form of the traditional grocery store also a
self-service shop offering a wide variety of food and household products, organized in systematic manner.
It is larger and has a open selection than a traditional grocery store.
MONGODB VS MYSQL: A COMPARATIVE STUDY OF PERFORMANCE IN SUPER MARKET MANAGEME...ijcsity
A database is information collection that is organized in tables so that it can easily be accessed, managed,
and updated. It is the collection of tables, schemas, queries, reports, views and other objects. The data are
typically organized to model in a way that supports processes requiring information, such as modelling to
find a hotel with availability of rooms, thus the people can easily locate the hotels with vacancies. There
are many databases commonly, relational and non relational databases. Relational databases usually work
with structured data and non relational databases are work with semi structured data. In this paper, the
performance evaluation of MySQL and MongoDB is performed where MySQL is an example of relational
database and MongoDB is an example of non relational databases. A relational database is a data
structure that allows you to connect information from different 'tables', or different types of data buckets.
Non-relational database stores data without explicit and structured mechanisms to link data from different
buckets to one another. This paper discuss about the performance of MongoDB and MySQL in the field of
Super Market Management System. A supermarket is a large form of the traditional grocery store also a
self-service shop offering a wide variety of food and household products, organized in systematic manner.
It is larger and has a open selection than a traditional grocery store.
This is an introduction about the MongoDB. It includes basic MongoQueries. Not a advance level of presentation but provide nice information for the starters
Hands on Big Data Analysis with MongoDB - Cloud Expo Bootcamp NYCLaura Ventura
One of the most popular NoSQL databases, MongoDB is one of the building blocks for big data analysis. MongoDB can store unstructured data and makes it easy to analyze files by commonly available tools. This session will go over how big data analytics can improve sales outcomes in identifying users with a propensity to buy by processing information from social networks. All attendees will have a MongoDB instance on a public cloud, plus sample code to run Big Data Analytics.
The Relational Database System is basic database used from many decades. Since Mysql, Oracle are used for relational kind of databases but Nowadays structure of data has been changed. The problem of Data storage has been raised. Different form of data is available i.e. multimedia databases which is difficult to store. MongoDb can be future alternative for Relational Database. This paper gives overview of NoSQL database MongoDb. This paper is evaluation of NoSQL classification, features and benefits. This paper include Case study on MongoDb which consists of MongoDB web Shell, Architecture and Storage engines and protocols that are included in MongoDB web shell. Deepa Suresh Wahane | Prof. Mayuri Dhondiba Dendge"Analysis on NoSQL: MongoDB Tool" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd13089.pdf http://www.ijtsrd.com/computer-science/database/13089/analysis-on-nosql-mongodb-tool/deepa-suresh-wahane
Introduction to MongoDB How is it Different from RDBMSRavendra Singh
Mongo DB provides a Schema-less Database that allows means one collection to hold different types of documents in it. A single collection in this tool can hold multiple documents which may contain many fields, content, and size. This feature allows it to provide great flexibility to databases and users.
Maintaining Data Confidentiality in Association Rule Mining in Distributed En...IJSRD
The data in real world applications is distributed at multiple locations, and the owner of the databases may be different people. Thus to perform mining task, the data needs to be kept at central location which causes threat to the privacy of corporate data. Hence the key challenge is to applying mining on distributed source data with preserving privacy of corporate data. The system addresses the problem of incrementally mining frequent itemsets in dynamic environment. The assumption made here is that, after initial mining the source undergoes into small changes in each time. The privacy of data should not be threatened by an adversary i.e. the miner and target database owner should not be able to recover original data from transformed data.
Performance and Emission characteristics of a Single Cylinder Four Stroke Die...IJSRD
The current trends in CI engine are to use Water-diesel emulsion as alternative fuel. It can be employed directly to the existing CI Engine system with no additional modifications. This system helps in reduction of NOx as well as PM, which in turn improve the combustion efficiency of the engine. However there are still investigations have to be done. The current work mainly concentrated on diesel engine run on water-diesel emulsions and its effect on engine performance and emissions were studied. The various loads were applied on a constant speed diesel engine run on water-diesel emulsions of varying ratios of 0.2:1, 0.3:1. 0.4:1 and 0.5:1. Emission and performance characteristics were measured and were compared with base diesel operation. The emissions like NOx and smoke density were found to decrease greatly and brake thermal efficiency was found to increase at high loads. Smoke level was 4.2 BSU and 3 BSU for base diesel and water diesel emulsion of 0.4. The ignition delay was found to increase with water diesel emulsions. This also increased the maximum rate of pressure rise and peak pressure. The engine was found to run rough with water-diesel emulsions. The optimal water-diesel ratio was found to be 0.4:1 by weight. HC and CO emissions were found to increase with water diesel emulsions.
Preclusion of High and Low Pressure In Boiler by Using LABVIEWIJSRD
Pressure is an important physical parameter to be controlled in process boiler, heat exchanger, nuclear reactor and steam carrying pipeline. In the article the issue has been face in boiler operation due to pressure is handled. In boiler, the problem is due to maximum and minimum range of pressure. Due to the issues there is a chance to causes the hazop. To avoid such the problem the high and low pressure in boiler has to control. In the paper such the problem has sorted out by implementing ON-OFF control. Here the proposed control action for pressure control is implemented with the help of LabVIEW (Laboratory Virtual Instrument Engineering Workbench) software and NI ELVIS hardware. In the idea the boiler’s low range and high is monitored and controlled valve desirably. And also the high range and low range of pressure in the boiler is signified to plant operator by alarm signal.
Prevention and Detection of Man in the Middle Attack on AODV ProtocolIJSRD
In this paper it is discuss about AODV protocol and security attacks and man in the middle attack in detail. AODV Protocol is use to find route and very important protocol for communication in wireless network. So AODV protocol should be Secured and it is a big challenge. There are various attacks that occur on it. Here in this paper it discussed about the detection and preventions of man-in-the-middle attack in detail.
Comparative Analysis of PAPR Reduction Techniques in OFDM Using Precoding Tec...IJSRD
In this modern era, Orthogonal Frequency Division Multiplexing (OFDM) has been proved to be an explicit promising technique for wired and wireless systems because of its several advantages like high spectral efficiency, robustness against frequency selective fading, relatively simple receiver implementation etc. Besides having a number of advantages OFDM suffers from few disadvantages like high Peak to Average Power Ratio (PAPR), Intercarrier Interference (ICI), Intersymbol Interference (ISI) etc. These detrimental effects, if not compensated properly and timely, can result in system performance degradation. This paper mainly concentrates on reduction of PAPR.A comparisons have been made between various precoding techniques against conventional OFDM.
Evaluation the Effect of Machining Parameters on MRR of Mild SteelIJSRD
Today’s life is totally based on Internet. Now a days people cannot imagine life without Internet. Information and communication technology plays vital role in today’s online networked society. In today’s life, we are very close to the online social networks. Online social networks are used for posting and sharing information across various social networking sites. But user’s privacy is not maintained by online social networks. For maintaining users sensitive information’s privacy online social networks provides little or no support. For filtering unwanted messages we propose a system using machine learning (ML). Using machine learning in soft classifier content based filtering performed. In proposed system filtering rules (FR’s) are provided for content independent filtering.. Blacklists are used for more flexibility by which filtering choices are increased. Proposed system provides security to the Online Social Networks.
Filter unwanted messages from walls and blocking nonlegitimate user in osnIJSRD
Today’s life is totally based on Internet. Now a days people cannot imagine life without Internet. Information and communication technology plays vital role in today’s online networked society. In today’s life, we are very close to the online social networks. Online social networks are used for posting and sharing information across various social networking sites. But user’s privacy is not maintained by online social networks. For maintaining users sensitive information’s privacy online social networks provides little or no support. For filtering unwanted messages we propose a system using machine learning (ML). Using machine learning in soft classifier content based filtering performed. In proposed system filtering rules (FR’s) are provided for content independent filtering.. Blacklists are used for more flexibility by which filtering choices are increased. Proposed system provides security to the Online Social Networks.
Keystroke Dynamics Authentication with Project Management SystemIJSRD
Generally user authentication is done using username and password that is called as login process. This login process is not more secure because, however a login session is still unprotected to impersonator when the user leaves his computer without logging off. Keystroke dynamics methods can be made useful to verify a user by extracting some typing features then, after the authentication process has successfully ended. From the last decade several studies proposed the use of keystroke dynamics as a behavioral biometric tool to verify users. We propose a new method, for representing the keystroke patterns by joining similar pairs of consecutive keystrokes. The above proposed method is used to consider clustering the di-graphs which are based on their temporal features. In this project, authentication system is provide to project management system that make more Secure management system without acknowledging unauthorized user. The Project Management System addresses the management of software projects. It provides the framework for organizing and managing resources in such a way that these resources deliver all the work required to complete a software project within defined scope, time and cost constraints. The system applies only to the management of software projects and is a tool that facilitates decision making.
Diagnosing lungs cancer Using Neural NetworksIJSRD
Artificial Neural Networks is the new technology. It is the branch of Artificial Intelligence and also it is an accepted new technology. Now a days Neural Networks Plays a Vital role in Medicine, Particularly in some fields such as cardiology, oncology etc. And also it has many applications in many areas like Science and Technology, Education, Business, Business and Manufacturing, etc. Neural Networks is most useful for making the decision more Effective. In this Paper, by the use of Neural Networks how the severe disease Lungs Cancer has been diagnosed more effectively. This Paper discussed about how the Lungs cancer can be identified effectively in earlier stages and diagnosed using Neural Networks and some devices. The Neural Networks has been successfully applied in Carcinogenesis. The main aim of this research is by the use of Neural Networks the Carcinogenesis can be diagnosed more cost-effective, easy to use techniques and methods. This Paper discussed about how the Lungs cancer can be identified effectively in earlier stages and diagnosed using Neural Networks and some devices. Sputum Cytology is used to detect the Lungs Cancer in Early stages.
A Survey on Sentiment Analysis and Opinion MiningIJSRD
In Today’s world, the social media has given web users a place for expressing and sharing their thoughts and opinions on different topics or events. For this purpose, the opinion mining has gained the importance. Sentiment classification and Opinion Mining is the study of people’s opinion, emotions, attitude towards the product, services, etc. Sentiment Analysis and Opinion Mining are the two interchangeable terms. There are various approaches and techniques exist for Sentiment Analysis like Naïve Bayes, Decision Trees, Support Vector Machines, Random Forests, Maximum Entropy, etc. Opinion mining is a useful and beneficial way to scientific surveys, political polls, market research and business intelligence, etc. This paper presents a literature review of various techniques used for opinion mining and sentiment analysis.
A Defect Prediction Model for Software Product based on ANFISIJSRD
Artificial intelligence techniques are day by day getting involvement in all the classification and prediction based process like environmental monitoring, stock exchange conditions, biomedical diagnosis, software engineering etc. However still there are yet to be simplify the challenges of selecting training criteria for design of artificial intelligence models used for prediction of results. This work focus on the defect prediction mechanism development using software metric data of KC1.We have taken subtractive clustering approach for generation of fuzzy inference system (FIS).The FIS rules are generated at different radius of influence of input attribute vectors and the developed rules are further modified by ANFIS technique to obtain the prediction of number of defects in software project using fuzzy logic system.
Experimental Investigation of Granulated Blast Furnace Slag ond Quarry Dust a...IJSRD
In this experimental work ninety nine cubes has been prepared having dimension 70.7x70.7x70.7 mm are cast as per IS:4031 (2000). In this experimental investigation cement mortar mix 1:3 by volume were selected for 0%, 20%, 40%, 60%, 80% and 100% partially replacement of natural sand (NS) by Granulated blast furnace slag (GBFS) and quarry dust (QD) [3 cubes on each parameter respectively] for W/C ratio of 0.55 respectively. All the cubes were tested under compressive testing machine. To compare the average compressive strength of natural sand (NS) with granulated blast furnace slag (GBFS) and quarry dust (QD).
Product Quality Analysis based on online ReviewsIJSRD
Customers satisfaction is the most important criteria before buying any product. Technology today has grown to such an extent that every smallest possible query is found on internet. An individual can express his reviews towards a product through Internet. This allows others to have a brief idea about the product before buying one for them. In this paper, we take into account all the challenges and limitations encountered while reading the online reviews and time being consumed in understanding quality of the product from the reviews. We include several methods and algorithms that help the consumer to understand the Quality of the product in better way.
Solving Fuzzy Matrix Games Defuzzificated by Trapezoidal Parabolic Fuzzy NumbersIJSRD
The matrix game theory gives a mathematical background for dealing with competitive or antagonistic situations arise in many parts of real life. Matrix games have been extensively studied and successfully applied to many fields such as economics, business, management and e-commerce as well as advertising. This paper deals with two-person matrix games whose elements of pay-off matrix are fuzzy numbers. Then the corresponding matrix game has been converted into crisp game using defuzzification techniques. The value of the matrix game for each player is obtained by solving corresponding crisp game problems using the existing method. Finally, to illustrate the proposed methodology, a practical and realistic numerical example has been applied for different defuzzification methods and the obtained results have been compared
Study of Clustering of Data Base in Education Sector Using Data MiningIJSRD
Data mining is a technology used in different disciplines to search for significant relationships among variables in n number of data sets. Data mining is frequently used in all types’ areas as well as applications. In this paper the application of data mining is attached with the field of education. The relationship between student’s university entrance examination results and their success was studied using cluster analysis and k-means algorithm techniques.
Fault Tolerance in Big Data Processing Using Heartbeat Messages and Data Repl...IJSRD
Big data is a popular term used to define the exponential evolution and availability of data, includes both structured and unstructured data. The volatile progression of demands on big data processing imposes heavy burden on computation, communication and storage in geographically distributed data centers. Hence it is necessary to minimize the cost of big data processing, which also includes fault tolerance cost. Big Data processing involves two types of faults: node failure and data loss. Both the faults can be recovered using heartbeat messages. Here heartbeat messages acts as an acknowledgement messages between two servers. This paper depicts about the study of node failure and recovery, data replication and heartbeat messages.
Investigation of Effect of Process Parameters on Maximum Temperature during F...IJSRD
In case of friction stir welding, the maximum temperature along the weld line within appropriate range at tool workpiece interface is responsible for quality of welded joint. Through this paper, an attempt is made to establish a relationship between the input process parameters and the maximum temperature along the weld line during friction stir welding of aluminium alloy AA-7075. The design of pre-experimental simulation has been performed in accordance with full factorial technique. The simulation of friction stir welding has been performed by varying input parameters, tool rotational speed and welding speed. The analysis of variance (ANOVA) is used to investigate the effect of input parameters on maximum temperature during friction stir welding. A correlation was established between input parameters and maximum temperature by multiple regression lines. This study indicates that the tool rotational speed is the main input parameter that has high statistical influence on maximum temperature along the weld line during friction stir welding of aluminium alloy AA-7075.
Review Paper on Computer Aided Design & Analysis of Rotor Shaft of a RotavatorIJSRD
The intent of this paper is to study the various forces and stress acting on a rotor shaft of a standard rotavator which is subjected to transient loading. The standard models of rotavator, having a progressive cutting sequence was considered for the study and analysis. The study was extended to various available models having different cutting blade arrangement. The study was carried on different papers and identifies the various forces acting on a Rotor shaft of a rotavator. The positions of the torque and forces applied are varied according to the model considered. The response was obtained by considering the angle of twist and equivalent stress on the rotor shaft. This paper presented a methodology for conducting transient analysis of rotor shaft of a rotavator,
A Survey on Data Mining Techniques for Crime Hotspots PredictionIJSRD
A crime is an act which is against the laws of a country or region. The technique which is used to find areas on a map which have high crime intensity is known as crime hotspot prediction. The technique uses the crime data which includes the area with crime rate and predict the future location with high crime intensity. The motivation of crime hotspot prediction is to raise people’s awareness regarding the dangerous location in certain time period. It can help for police resource allocation for creating a safe environment. The paper presents survey of different types of data mining techniques for crime hotspots prediction.
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
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A Study on Mongodb Database
1. IJSRD - International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613
All rights reserved by www.ijsrd.com 832
A Study on Mongodb Database
Kavya. S
M Tech. Student
Department of Computer Science
Mount Zion College of Engineering, A. P. J. Abdul Kalam Technological University, Kadammanitta
P.O, Pathanamthitta, Kerala, India
Abstract— This paper trying to focus on main features,
advantages and applications of non-relational database
namely Mongo DB and thus justifying why MongoDB is
more suitable than relational databases in big data
applications. The database used here for comparison with
MongoDB is MySQL. The main features of MongoDB are
flexibility, scalability, auto sharding and replication.
MongoDB is used in big data and real time web applications
since it is a leading database technology.
Key words: NoSQL, MongoDB, auto sharding, aggregation
I. INTRODUCTION
Relational database management systems came into
existence since 1980’s.They are a common choice of storage
of information in new databases used for financial records,
manufacturing and logistical information personnel data and
other applications. They work efficiently when they handle a
limited amount of data. Due to the emergence of
applications that support millions of users simultaneously an
appropriate database is required. To handle huge volume of
data traditional relational database is inefficient. To
overcome the difficulty in handling huge volume of data ,the
term NoSQL was introduced by Crlo Strozzi in 1998.It
refers to non-relational databases. More recently,the term
has received another meaning namely Not Only SQL.The
main advantage of NoSQL database is that it can handle
both unstructured(e-mail,multimedia,social media) and semi
structured data very efficiently. Mainly there are four
categories of databases namely Key –value store, document
store, column oriented and graph database. MongoDB is a
cross platform document oriented database, first developed
by the software company MongoDB Inc., in October 2007
as a component of planned platform as a service product.
The company shifted to an open source development model
in 2009.Since, then MongoDB has been adopted as a
backend software by a number of major websites and
services. These include Craigslist, eBay, Foursquare and
Newyork Times. MongoDB is written in c++ and provides
high availability, easy scalability and better performance.
MongoDB works on the concept of collection and
document. A database is a physical container for collections.
Collection is a group of MongoDB documents. It is
equivalent to RDBMS table. MongoDB database contain
multiple collections. A document is a set of key-value pairs.
Documents have dynamic schema. That means, documents
in the same collection do not need to have the same structure
and common fields. MongoDB supports dynamic queries on
documents using a document based query language that is
nearly as powerful as SQL.It stores the data in the form of
JSON documents. Auto sharding, replication and high
availability are the main features of MongoDB.It is
commonly used in big data, content management and
delivery, mobile and social infrastructure, user data
management and data hub. MongoDB supports different
data types such as String, Integer, Boolean,
Double,Min/Max keys, Arrays, Timestamp, Oject, Null,
Symbol, date, Object ID, Binary data, code and regular
expressions.
II. MONGODB DATA MODEL
MongoDB stores data as documents which are in the BSON
format. BSON is binary representation of JSON document.
Documents having similar structure are organized as
collections. Collection is analogous to a table in relational
database. Documents and fields in MongoDB are
represented using the terms row and columns respectively in
MySQL. The difference between the relational database,
MySQL and non-relational database ,MongoDB is that in
relational database information for a given record is usually
spread across many tables, whereas in MongoDB the
documents tend to have all data for a given record in a
single document.
MySQL MongoDB
Table Collection
Row BSON document
Column BSON field
JOIN Embedded documents and Linking
GROUP BY Aggregation
Primary key Primary key
Table 1:
III. FEATURES OF MONGODB
MongoDB has a flexible data model. That means data can
be stored in any structure. This feature also allows
modification of data in an easy way. Another main feature is
elastic scalability. All NoSQL databases contain some form
of sharding or partitioning.This allows the database to scale
out on hardware. Thereby allowing almost unlimited
growth. MongoDB provides high performance than
traditional relational databases. The performance of
MongoDB is measured in terms of both throughput and
latency at any scale. MongoDB does not use join operation,
instead they use embedding of documents and linking.
Because the data in MongoDB is more localized.This
localization dramatically reduces the need to join separate
tables. Each document structure in MongoDB database can
vary from one another. If there is a need to create a new
field in any one of the document, then the field can be
created without affecting a central system catalog and
without taking the system offline. In MongoDB, field
updates can be done easily. It provides rich data model. Data
locality and dynamic schema are other main features of
MongoDB. The main feature of MongoDB includes
querying, aggregation, indexing and auto sharding.
Indexes play a major role in providing efficient
access to data,for both read and write operations,which are
3. A Study on Mongodb Database
(IJSRD/Vol. 3/Issue 10/2015/182)
All rights reserved by www.ijsrd.com 834
management the best choice among NoSQL database is
MongoDB. It finds application in data hub also.It is the best
choice for a small or medium sized non –critical sensor
applications, especially when write performance is
important.
VII. CONCLUSION
As NoSQL trend is relatively new, many researchers are
attracted to this category of databases. NoSQL databases
such as MongoDB and its key-value stores provide an
efficient framework to aggregate large volumes of data.
MongoDB can store complex data like array,object or
reference into one field. Mapping of objects is very easy in
this type of database. The features of MongoDB like auto
sharding and replication of data make the development
faster than MySQL. MongoDB provides flexibility,
horizontal scalability, auto sharding and replication.
MongoDB is a better choice for big data applications than
MySQL database. It gives better performance than relational
database. Depending on the requirements of application, we
can choose the suitable NoSQL database.
REFERENCES
[1] Mrs.Anuradha Kanade, Dr.Arpita Gopal,Mr.Shanthanu
Kanade“A Study of Normalization and Embedding in
MongoDB”Advance Computing Conference (IACC),
2014 IEEE International
[2] Cornelia GYORODI,Robert GYORODI,George
PECHERLE,Andrada OLAH “A comparative
study:MongoDB vs MySQL”Engineering of Modern
Electric Systems (EMES), 2015 13th International
Conference on11-12 June 2015.
[3] K.Sanobar,M.Vanita,”SQL Support over MongoDB
using Metadata”