Security Policies For Schema Less Or Dynamic Schema...

Security Policies For Schema Less Or Dynamic Schema...
5.10Authorization
Two important challenges (Obijaju, 2015; Srinivas & Nair, 2015; Urbanski, 2012; Kirkpatrick, 2013; Fidelis Cybersecurity, 2014).
5.10.1Possibility: How to define security policies for schema–less or dynamic–schema database?
5.10.2Performance: Availability versus access controls overhead, how to manage the cost ofaccess control?
Because of schema–less nature of NoSQL data models, fine–grained data access controls at the column or row level, as gave by RDBMS i.e. oracle and
these features are not accessible in the recent NoSQL databases. Some of them employ a few kind of authorization if desired. Authorization setting of
some of NoSQL database is allowed by all authenticators, which means essentially there is no authorization per database level and allow any action by
any user (Obijaju, 2015; Srinivas & Nair, 2015; Kirkpatrick, 2013; Fidelis Cybersecurity, 2014). Authorization information is mentioned in Table 6.
Table 6. Authorization Detail in NoSQL Databases
NoSQL DatabasesGranularityExplanation
BigTableColumn FamilyUsing ACL
CassandraColumn FamilyUsing I Authorizer API
HBaseColumn Family /CellGroup–based authorization
AccumuloCellusing Visibility Field
5.10.3Inference Control: Access control on data, especially in Column–Wide database.
5.10.4Administration/access control management: How and where to grant database access.
Local versus Global access policies and their possible conflicts.
Centralized approach: single–point of
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Mayo Clinic Television Iproject. Jayanth Reddy Bogasamudram,
Mayo Clinic Television iProject
JAYANTH REDDY BOGASAMUDRAM, Department of Software Engineering
1209270448, jbogasam@asu.edu
ARIRZONA STATE UNIVERSITY
Mayo clinic is a nonprofit medical research group focusing on solving medical problems maintaining finest medical practices. Long waiting
appointments and schedules always seem to be a problem for patients who seek immediate medical care especially cases when problem related to
sensitive body parts are intense and need immediate care. To achieve better time management and proper medical care, an IOS app is designed to
deliver the results of examination report directly to physicians and technicians at Mayo clinic, thus delivering the immediate results. The primary focus
of the app is to ... Show more content on Helpwriting.net ...
JSON format & API for the IOS application is discussed in API's and JSON format section. Phase–2 contains visual recognition API's, deep learning vs
neural networks and proof of concept model. Visual recognition API's discuss about various prominent API's developed by Microsoft, Amazon and
IBM Watson. This section also contains various technologies considered while developing these API's. Deep learning vs neural networks section
explains the reason why deep learning is implemented in these API's and how deep learning improves the performance of image recognition. The
Architecture and proof of concept explains how the model can be implemented in IOS application.
2 INITIAL DESIGN
Fig. 1. Side view and front view of initial design with portable case.
Initially, ophthalmologists required a way to take mobile images of the eye and produce image to clinicians that helps diagnose eye issues. The primary
goal of this design is to reduce
1.Physicians travel time during off hours.
2.Patient wait time.
3.Usage and cost of the application.
The ASU team was tasked to develop a portable camera that could be used by technicians in areas where large, complex and expensive instrumentation
are needed to perform eye examinations and provide accurate results. The team performed extensive research and concluded that apple camera is good
fit for the research. Understanding the compatibility

Common Characteristics Of Wireless Devices
The Web is actually a REST system. Many of the web services that we have been using for years are REST based web services. REST is concerned
with the 'big picture' of Web and does not deal with any implementation details like Java Servlet or CGIs. Many common characteristics of wireless
devices too, adhere the principles behind REST. There has also been some interest in "extending REST to consider variable request priorities,
differentiated quality–of–service, and representations consisting of continuous data streams, such as those generated by broadcast of audio and
video source" [2]. Since REST was introduced almost a decade ago, it has gained widespread acceptance. This acceptance has seen many
inconsistencies though, as people didn't get to know what it actually is. There is no acceptance test for these standards which can determine
whether or not your web application is RESTful or not. Fielding couldn't come up with examples to showcase a thorough RESTful architecture as
opposed to just an abstract description of the concept. A future look in this concept should convey what REST actually is and how one can get to a
comprehensive RESTful web architecture. Richardson's Maturity Model defines different levels of progressive enhancements that one can adopt in
order to make a web application RESTful [2]. These levels are (1) Level 0: The Swamp of Pox (2) Level 1: Resources (3) Level 2: HTTP Verbs (4)
Level 3: Hypermedia Control 2.1Strengths of REST Services Advantage of

How Does IBM I Diversify Its Database Support?
There are many things that differentiate IBM i from other platforms, including its storage, security, and programming models. But one of the most
unique aspects of the IBM i platform is its integrated DB2 database, which is used exclusively by practically all IBM i customers. You just dont find
this on other platforms. But perhaps its time for IBM i to diversify its database support?
In many respects, DB2 for i is the platforms greatest strength. IBM i is renowned for its transaction processing prowess that drives ERP and other line
of business applications, and DB2 for i (formerly DB2/400, but do not call it that around Mike Cain) is the sturdy engine that powers those transactions.
It is theoretically possible to run an IBM i server without DB2 for i. Perhaps you want to serve HTTP requests in concert with a separate Oracle or SQL
Server database running on an X86 server. But doing so would seem to go against the strengths of the platforms, let alone the laws of computing
nature. In a heterogeneous setups, which are common in Oracle JD Edwards and SAP Business Suite worlds, the IBM i server nearly always powers
the database, while mainstream X86 servers and their Windows and Linux OSes power the application and HTTP servers.
This database–centric identity has served the IBM midrange platform well for decades. The DB2 for i database is very mature and powerful,
supports both SQL and DDS programming constructs, and is more ANSI SQL compliant that other relational databases (just as how, ironically, IBM
i is more POSIX compliant than all Unix operating systems, even though its not Unix). Whats more, DB2 for i just keeps getting better and better
with each new release of IBM i. So why in the world would an IBM i shop ever need something else?
Its The Data, Stupid
The most answer to that question may be that the nature of data itself is changing, and therefore the ways that we store it need to change, too.
When IBM first developed the AS/400, storage (both main and disk) was expensive relative to today, and so companies wanted to minimize the amount
they stored. IBMs storage architecture reflected this reality, and therefore the data written to disk was highly refined, or structured.
This focus on structured data

Mooc And Document Orientated Nosql Database
MOOC and document orientated NoSQL database
Abstract:
MOOC (Massive Open Online Course) is getting popularity in not only in Universities worldwide but also in the people who want to enrich their skill
sets. As the demand grows, different MOOC websites are taking appropriate action to provide more dynamic environment. They are using NoSQL to
maintain the data. Most of the MOOC websites using Document type NoSQL databases to manage videos, forums and assignments. But when it comes
to decide which NoSQL database should be implemented there are many choices like MongoDB, CouchDB, ClusterPoint etc. and consequently a
question arises why majority of MOOC websites are using MongoDB instead of CouchDB which is also a NoSQL document oriented database? In
the following paper it will be more clear which database MongoDB or CouchDB in the present time is more suitable to use for a MOOC website.
Introduction:
Distance learning had three generations
1.Correspondence Study
2.Multimedia
3.Computer mediate
After the industrial revolution, correspondence study started in the Europe and United States because more skilled work force was required and also
reliability and speed of postal service was improved greatly.
In the 20th century multimedia is introduced and became new tool of education for teachers and learners. Class became more adaptable to reach
different kind of audience result of that even people of remote areas started to get grasp on the subject. But Multimedia still lack

This project performs sentiment analysis in various...
This project performs sentiment analysis in various different phases. Initially the source of input for the application is Twitter tweets which are
collected using Twitter API. The Twitter API is designed by Twitter which is made available to all registered Twitter Developers which runs on the
Twitter Server. Input for the search term is provided by a Web Application User Interface designed for the user to input a product name on which the
sentiment analysis is to be performed. This search term then acts as an input query for collecting tweets related to the product. Once when the user
inputs the search term on the web application, the browser makes an Ajax call to the web application server with search term as an input to initiate the...
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The web application server is a Rails server which runs on ruby and is programmed to handle all inputs from web site and the Twitter server. The
Twitter server is hosted by Twitter Inc. to handle Twitter and Twitter API requests. Hadoop machine is used to derive more semantic information using
graphs generated by the web application server. The web application server here is a rails server which runs on ruby. It usesRuby on Rails web
application framework which is a open source software. It is model view controller framework and has a controller component which responds to
external requests from the web server to the web application and determines which view to be rendered for a particular action. The controller is
responsible for a particular action to be performed when is called and routed through the framework. In this project the algorithm resides inside a
controller class called home and it renders a index view. The home class in this project invokes all the required libraries as gems and the Twitter API
too. Figure 3.3 demonstrates the individual components in the Ruby on Rails framework. This project provides storage of processed tweets and all
tweets collected by the Tweeter API. The file system is designed to hold all processed tweets and their sentiment with graphs generated for each tweet
while processed by the algorithm. The file system has the following files in it which does the above functions. The user interface of the web

Database Proposal : Analysis The Performance Of Database
Analysis the performance of database
Xiaoyu Liang
Computer Engineering Department
Student id: 010830131
Xiaoyu.liang@sjsu.edu
Abstract–This report compares the performance of different type of databases and general the normal way to improve the performance of the database.
Keywords–database; performance; SQL; NO–SQL;
I.INTRODUCTION
The database means we collect data according to their types or relations and store these data in the tables in order to make further operated. And the
Database–management system is usually seen as DBMS which is software application used to manage these databases. What we discuss here is mainly
focus on the DBMS.
II.DATABASES
There are many different types of database. The following part lists the widely ... Show more content on Helpwriting.net ...
It is good at scalable.
G.Amazon Dynamo Database
Amazon DynamoDB is NoSQL database, it is famous for its cloud base and speed. It is agility to many data models.
H.Apache Cassandra Database
Apache Cassandra is a free open source which is a typically NoSQL with the distributed feature. This database could manage volume data and provide
no single point of failure.
I.Raven Database
Raven Database is a document–oriented database combine the relational databases feature and document databases.
III.PEFORMANCE COMPARISON BETWEEN SQL DATABASE AND NO
–SQL DATABASE
In order to make it easy to analyze the performance of the database. We need to categorize the above databases. We can categorize them due to the
content of the database. Dividing them into "bibliographic, document–text, statistical, or multimedia objects. Another way is by their application area,
for example, accounting, music compositions, movies, banking, manufacturing, or insurance" [1]. In our project, we divide the database according to

the computer software aspect. Mainly including the SQL database (relational database) and NoSQL database (non–relation database). We compare
these two databases in below aspects:
A.Storage
SQL database: store data in the table. This way is intuitive and clear. But the disadvantage is that the type of the data is determined.
Table I: type of SQL Table Documents book_id book name author 001
Big data: principles and paradigms
Rodrigo N.
002
Big

Web Application For The Smart Agricultural System
The Web Application is used to view and interact with the smart agricultural system. The webpages are served from the Webserver and consist of
HTML, CSS, JS, and JSON files. The HTML and CSS files are used for the webpages content and layout, the Javascript performs the webpages
backend processing, and JSON is used for data. The Web Application performs most of its interaction with the Sensor Network through JSON files
are passed between the Webserver and the Web Application. The JSON files contain labeled data that can be displayed as plots or text information.
The plots are updated once every second by requesting new sensor data from the Webserver. This Section will focus on the software that allows that
Web Application to... Show more content on Helpwriting.net ...
Figure 26: Weather webpage layout. The Temperature, Pressure, Humidity, Light, and Soil Moisture pages display graphic plots for each sensor value
type. These pages allow the user to track in real time the current status and history of the sensor value. Figure 27: Temperature webpage layout. The
Water Control webpage displays the history the water pump on/off state and value of the environment's soil moisture. This page gives the best
overview of the current system status. Typically, what you would see is that based on environmental factors such as temperature, humidity, pressure,
and weather, the soil moisture threshold will scale to compensate for the current conditions. The scaling and compensating factors will be discussed in
the smart algorithm section below. Then, if the environment's soil moisture sensor value falls below the soil moisture threshold, then the water pump
will turn on. This will be reflected in the water control graphical plot. Figure 28: Water control webpage layout. 4.5.2 Data Interface: The Web
Application interfaces with the Webserver by requesting JSON data files. The JSON files contain the sensor data used to update the plots and command
statuses of the Web Application. The information within the files is formatted in a specific way such that the files can be passed directly to the plotting
function. CouchDB performs the file formatting using its query function. Below is an

Swot Analysis : Nosql Dbs
CS 557 Writing Assignment #2
Naveen Chitturi
Introduction to the topic of NoSQL DBs
Relational database systems came into existence in the 1970's, and revolutionized the way data is maintained in computers. Like every technology that
is subjected to test of time, relational database systems are under criticism for not being scalable enough to meet growing users and exponentially
increasing data management needs. Today, a new technology called NoSQL is being pioneered by leading companies like Google, Amazon, and
Facebook etc. to meet the shortcomings of the 40–year–old relational database technology. Modern web applications are making a transition from
traditional relational databases to NoSQL databases to meet the demand of steadily growing concurrent users and big data.
NoSQL today stands for 'Not only SQL' and encompasses a myriad of different database technologies that can cope up with scale and agility
challenges faced by modern applications. It provides the capability to store unstructured data, which is not possible using RDBS. The major
advantage of using a NoSQL DB is horizontally scalability, that is, cheap infrastructure can be newly added to improve performance instead of
upgrading an already expensive system. There are four types of NoSQL databases, as follows
Document store: These store complex data structures known as documents, by associating them with a unique key. Documents can contain many
key–value pairs and can even nest other documents. E.g. MongoDB,

Mobile Phones And Its Impact On Our Day Lives
Motivation
Mobile phones becomes an essential companion in our day to day lives. They helps us to keep in touch with friends, family, colleagues, access email,
browse internet etc. Mobile phones were brought to life with the help of an operating system. In the present world, Android and IOS are having the
major mobile operating systems market share in the world.
Android holds a market share of 61.9% in the current US market while Apple`s IOS holds only 32.5% of share. Internationally android`s market share
is even lot better when compared to Apple`s IOS. So keeping these facts in mind we are inspired to perform big data analytics on tweets related to
android operating system.
Introduction
Big data is the buzzing word in the present software industry. Huge amounts of data is being generated daily from various sources. Companies are
trying to perform analytics on big data and get some valuable output which gives an edge over there competitors. In order to achieve this we need to
program map reduce jobs in Hadoop ecosystem. It is very difficult to develop the code and reuse it for different business cases. On the other hand,
People are very much comfortable to query data using SQL like queries.
A team of developers at Facebook developed a dataware house tool namely called as HIVE. Hive supports the queries like SQL type which is called as
HiveQL. These queries are compiled as map reduce jobs and are executed using Hadoop. Through HiveQL we can plugin custom map reduce

Hrm 531 Week 3 Individual Assignment
During my co–op work placement, I was employed at Evichat Inc. in the position of Full Stack Developer. The total size of the company is 5 people.
The Software Development team where I worked with was relatively small compared to other companies as it is an early stage startup. Throughout the
work placement, I was worked on projects that involved integrating with third parties including Relativity and Clio, improving web app security with
role based authentication and improving site SEO.
The team's main goal or goals were to improve search speed of text search compared to SQL text search, develop an AI solution that provides semantic
search results in the context of social media, integrate with third parties to transmit data that the lawyer has requested, comply with Canadian data
privacy security law and security audits requested by law firms, and refactor ... Show more content on Helpwriting.net ...
The team split into either teams of 2 or individuals to accomplish these goals over the course of the term.
My tasks included integrating with Relativity and Clio, improving search result navigation, and improving web app security with role based
authentication. For the Relativity integration, I built an ASP.Net web API that would take a JSON request sent by our Ruby on Rails application
server and send it to Relativity using the Relativity Services API. The ASP.Net server is written in C# so I learned the relevant C# skills necessary
to facilitate the success of the task. This server was deployed to our Amazon Web Services environment with Amazon Web Services Elastic Beanstalk
to be used by our clients. Another task I worked on was to integrate with Clio, a legal practice management software. In particular, clients have
requested that we have the ability to export relevant documents that they have been working on to Clio to manage with the rest of their case data. Clio

A Sample Resume Essay
Renu P
Brampton, Ontario
E–mail: renuhp17@gmail.com
Phone No: 647–331–5195
SUMMARY
5+ years of extensive IT experience in software Development and Implementation including 1+Years of experience in big data and Hadoop technology
stack.
Constructive experience in installing, configuring and using ecosystem components like Hadoop Map Reduce, HDFS, HBase, Zoo Keeper, Oozie,
Hive, Cassandra, Sqoop, Pig, Flume, Avro, Chukwa, Whirr, and Cloudera.
Excellent Understanding and Hands on experience with Hadoop stacks Technology like Map Reduce, HDFS, Hive, Pig, Sqoop, Impala, Oozie, Scala
and Spark.
Extensive experience working with SQL, Core Java and Linux.
Having experience on importing and exporting data from different systems like RDBMS ... Show more content on Helpwriting.net ...
Effective in handling multiple synchronized prioritized tasks with critical thinking, decision–making and problem–solving abilities.
Excellent analytical, problem solving, communication and interpersonal skills with ability to interact with individuals at all levels and able to work
independently or collaboratively.
EXPERIENCE
Hadoop DeveloperApril 2016 to Present
TELUS – Scarborough, ON
Project:
The project aims to move all data from different sources or log data from individual servers to HDFS as per the management system and then perform
analysis on these HDFS data sets. Once the data set is inside HDFS, then pig, hive and map reduce are used to perform various analysis.
Used Pig and hive as ETL tool to do transformations, joins and aggregations before storing the data into HDFS.
Created Hive tables and loaded data in from Relational Database Management system using Sqoop.
Extensively worked on creating Hive tables, partitions and buckets for analyzing large volumes of data.

Creating Partitions and buckets hive tables in Parquet File Format with snappy compression and then loaded data into Parquet hive tables from Avro
hive tables.
Scheduling and managing the Hive, pig and map reduce jobs on Hadoop cluster by using Oozie and Falcon process files.
For implement business logic to transform the

The Recent Pronouncement Of The World Wide Web (Www) Had
The recent pronouncement of the World Wide Web (WWW) had over the years changed from a stationary HTML pages to a more dynamic and
intelligent web applications.
These applications possesses desktop–application characteristics. AJAX (Asynchronous JavaScript and XML) serves as the principal thrust to the
development to a profoundly intelligent Web and the occurance ofWeb 2.0. AJAX, as most misapprehended, is not a programming language, but rather
is a combinations of technologies that allows the customer side part of the web application to regularly update the substance of the application by
asynchronously interacting with the server.
The short Offbeat Javascript and XML is known as AJAX and it's a tern frequently used for technologies ... Show more content on Helpwriting.net ...
Every web application can be differentiated into many operational segments. Making it a distinctive methods.
The programing procedures and strategies engage in are therefore discussed below
Server side Script(PHP, ASP.NET, Flex, cgi): this is a fraction of web application that is executed by theweb server. The total programming rationale in
traditional (Web 1.0) was and a fraction of the benefits in AJAX based web application is implemented utilizing server side script. The choice of
scripting language is free of the other segments.
Client side Script(JavaScript, jQuery, Facebook Programming interface, YUI):Known to be fraction of application executed on the customer computer
by the browser interface. In outdated web application, customer end scripting was for the most part operated for substance consent. With the coming of
XMLHTTPREQUEST, the fraction of customer end scripts has transformed and now integrates content organizing, content approval, Asynchronous
updates and cross space, cross podium information exchange.
Database (SQL, FML, XQuery ): This part gives information to the web application. All successful web applications examples which include Google,
Facebook, Flickr etc utilize database. Including AJAX, and Asynchronous updates, questioning information from database resulted in a significantly
more dynamic and complex. In traditional system, information needed are gotten from databases a page revives.AJAX application in recent times,

Comparing The Downloader And The Browser
Abstract In our project we want to set a bridge between the downloader and the browser, by writing a web–based interface, the request can
automatically transferred into the utility and file can be downloaded with fast speed and breakpoint resume. Nowadays, when using downloading
software to download files, the first thing is to download an installer for setting up the software. Then it 's time to create a new account. After
finishing the step of account creation, the fast speed can be achieved. Sometimes downloading a large file, users have to add four more step to
complete the downloading operation, copy the link address, minimize the browser, open the software interface and paste onto it. However, the
downloader could be powerless if the... Show more content on Helpwriting.net ...
We have tested on 5 popular browsers [2]. The results are listed below: 2.2Software downloading Unlike browser downloading, downloading
software does it better in speed and some extra functions. It is an easy tool for users to download. Nonetheless, it requests users to install its software
and create a new account. Also, downloading software will be powerless if the website has a user requirement. 2.2.1Bit–torrent downloading BT (Bit
Torrent) downloading divides a file into many parts, and user will download different parts from different users at the same time to achieve a
higher speed and decrease the load of download servers. [3] 2.2.2FTP downloading Users download files from FTP servers. Downloading software will
integrate resources for users, helping users download different parts of files from different servers at same time. [4] We have tested on 5 downloading
tools. 2 of them is for Bit–Torrent or magnetic links. The results are listed below: 3.0Proposed System The project is trying to implement advantages
from both browser and software. It is more convenient for every user. It support multi–protocol, multi–line, breakpoint resume features. Meanwhile,
users are allowed to login authenticating download. 3.1Advantages of proposed system The goal system is to support all kind of popular
downloading ways. Users could also download several tasks or divide one task into several parts for faster downloading at the same time. In the
condition of

Nosql Essay
Now days, open source technologies are becoming famous in the global market including corporate and government sector. A number of domains in
software industry are making use of open source products for multiple applications. NoSQL Databases, Big Data Analytics and web services are on the
top and used in diverse applications.
NoSQL Databases are being used in the social media applications and big data processing based portals in which huge, heterogeneous and
unstructured data formats are handled. NoSQL Databases are used for faster access of records from the big dataset at back–end. The AADHAAR Card
implementation in India was done using NoSQL Databases as huge amount of information is associated including Text Data, Images, Thumb
Impressions and Iris Detection. Any classical database system cannot handle the dataset of different types (Image, Text, Video, Audio, Video, Thumb
Impressions for Pattern Recognition, Iris Sample) simultaneously.
Currently, a number of NoSQL Databases are used for different type of portals and these are specialized in handling heterogeneous and unstructured
data.
OPEN SOURCE NOSQL DATABASES
In classical web based implementations, the RDBMS packages are deployed for the database applications including Apache Derby, MySQL, Oracle,
IBM DB2, Microsoft SQL Server, IBM Notes, PostgreSQL, SQLite, Sybase or any other. These are known as Traditional SQL Databases which are
ACID Properties Compliant. NewSQL is the new generation database engine that

Symphony Driver Essay
Symphony Driver
The Driver is the main project of the Symphony framework that contains the entry point – main method, for a symphony job to get executed. This is
also the core engine of the framework where the orchestration of the entire job takes place. The driver needs a workflow to execute the job which is
defined in the form of a JSON file. The JSON contains 3 process sequences namely pre–processing, job–processing and post–processing that are
executed in sequence by Symphony as part of the workflow execution.
Overview: How driver works?
пЃ¶The driver's main class WorkflowApp is invoked by a Spark–submit command with 2 arguments: job instance JSON and environment properties.
пЃ¶The driver then parses the first argument i.e. job ... Show more content on Helpwriting.net ...
In addition to the above conventional logging, Symphony also logs the critical job updates to a centralized logging platform called Common Logging
Environment (CLE). This platform provides a user interface that facilitates the user to monitor the workflow execution in real–time and debug the jobs.
For more details on Common Logging Environment (CLE), please visit: https://pulse.kdc.capitalone.com/docs/DOC–189214.
Password Management – Chamber of Secrets (CoS):
The driver module is required to utilize services like Nebula and Common Logging Environment (CLE) which needs a batch id and password. Prior to
the integration of CoS with Symphony, passwords were stored on the EMR using "ftppwd" utility, which are not secure. Symphony has incorporated
Capital One's enterprise–wide credential management solution – Chamber of Secrets, to make the password storage and retrieval more secure. Please
visit this pulse page for more details on Chamber of Secrets: https://pulse.kdc.capitalone.com/docs/DOC–184992.
Class Diagrams:
The opening section of this page provides a high–level overview of how the driver works. Now let us dive into how a workflow is executed in the
driver module.
As mentioned previously, the workflow contains 3 process sequences: pre–processing, job processing and post–processing and each process sequence
can be

A Study Of Sapui5 Application Development Essay
INTRODUCTION OVERVIEW:– The project is a study of SAPUI5 APPLICATION DEVELOPMENT along with all its contents, controls, interface
designs, connectivity and functionality. A simple demo test application is created using UI5 controls and technology for maintaining product database.
In the demo application, ODataServices are created and used in order to view, create, delete and update the database. The user can effectively maintain
the given product database with this demo application. OBJECTIVE:– The main objective of this project is to maintain database at the backend and
provide a front–end to the client. The changes made to the database in the front end should be reflected and saved at the backend server as well. The
following objectives were achieved in making this project:– Make the application mobile so that it is usable on all types of devices. Simple and
user–friendly interface for the clients. Effectively use and maintain the database MOTIVATION:
– ERP (Enterprise Resource Planning) is one the latest
technologies being adopted by major companies all around the world. ERP aims to integrate the business operations and simplifying them in the
process. It also aims to keep the data updated for all departments of the organisation. The scope of SAP ERP is unlimited and the software is in great
demand in the market today. SAP SAP stands for Software, Applications and Products in data processing. SAP software was created by SAP Company
itself which is the fourth

Questions On Information And Programming
MIKIN PATEL HOMEWORK
–2 Middleware Concepts (a)Search the Internet and recognize a meaning of Middleware that you like Middleware is a
general term for programming that serves to "paste together" discrete, regularly mind boggling and as of now existing, programs. Some product parts
that are as often as possible associated with middleware incorporate venture applications and Web administrations. (b)Compare and differentiate the
definition you found with the definition in the course message/slides Definition from Internet: Middleware is a general term for programming that
serves to "paste together" independent, regularly intricate and as of now existing, programs. Some product segments that are as often as possible
associated with middleware incorporate venture applications and Web administrations Definition from the course message: An arrangement of normal
business–unconscious administrations Enabling applications and end clients to associate with each different over a system. Dwells over the system
and beneath the business–mindful programming. Both the Definitions come to basic stage that the association between the applications and the end
client with each other is over the system. Besides middleware standards are heats into cutting edge joining base, for example, Enterprise Service Bus
and API Management programming to give more prominent administration and responsibility. (c)According to this definition, which ones of the
accompanying are considered as middleware

The Concept Of Server-Side Internet API
A server–side internet API could be a programmatic interface consisting of 1 or additional in public exposed endpoints to an outlined request–response
message system, usually expressed in JSON or XML, that is exposed via the internet–most unremarkably by means that of associate degree
HTTP–based web server. Mashups ar internet applicationswhich mix the utilization of multiple server–side internet arthropod genus. Webhooks ar
server–side internet arthropod genus that take as input associate degree Uniform Resource symbol (URI) that's designed to be used sort of a remote
named pipe or a kind of request such the server acts as a shopper to dereference the provided URI and trigger an occurrence on another server that
handles this event ... Show more content on Helpwriting.net ...
These quiet internet arthropod genus ar accessible via commonplace HTTP strategies by a range of HTTP purchasers as well as browsers and
mobile devices. they need benefits over internet services in this they have a tendency to be less resource intensive (and therefore sometimes run
faster) if they use JSON as message exchange format as a result of in this case they are doing not got to perform XML–to–programming language
knowledge conversions PRN by a SOAP–based service arthropod genus.
Signs of those business changes may be seen by:[8] Yahoo provides REST for all their services Amazon and eBay offer each REST and SOAP Google
accustomed solely offer SOAP, however deprecated these resources, in favour of REST in 2006
This move from internet services to internet arthropod genus is analogous to the linguistics internet movement towards the Resource Description
Framework.
в †Documentation
Server–side internet arthropod genus ar interfaces for the surface world to move with the business logic. for several corporations this internal business
logic and also the material possession related to it ar what distinguishes them from alternative corporations, and doubtless what offers them a
competitive edge. they are doing not wish this info to be exposed. However, so as to supply an internet API of top quality, there must

Notes On Association Rule Mining
Association Rule Mining: Association Rule Mining is a part of data mining, which are most important techniques. Data Mining is used to extract the
required information from a certain total data. Association Rules are mainly used in several areas such as telecommunication networks, risk
management, etc. The efficiency of using the Association Rules Mining is to
1.Process the number of passes for the database.
2.Sampling the database process.
3.For the pattern structure, adding extra constraints.
4.By using the Parallelization
Big Data:
Big Data is the term which is used for data sets to make a very large application for processing the data. The Processing may involve analysis,
search, sharing, storage, visualization and privacy information. Big data is a type of predictive analysis which is used for the purpose of extract the
value from data. The data sets are used for the purpose of analysis to find the new correlation of business trends, for the prevention of diseases and so
on.
Cassandra:
Cassandra is an open source project, which is used for Distributed Database Management System; this design is used to handle large amounts of data
across the servers. Cassandra supports multiple data centers with asynchronous replication of low latency operations with all the clients.
The performance of Cassandra is very high, and contains a data model which is divided into row store with consistency.
Data Mining:
The major calculations in Data mining and examination shape

The Analysis Based Monitoring Tools Of Cloud
Literature Search The primary focus of behind the literature search is to research about the latest trends in the log analysis based monitoring tools
of cloud which also provides the features for forensics ability. We list below our analysis of different papers we read which pertains information
related to our topic. We have analyzed various tools and techniques available, which are doing log analysis on a cloud. The motive of which is to
create a novel log based private cloud analysis build with the help of OpenStack cloud operating system. The paper 'Cloud Computing Log Forensics–
The new frontier' talks about the complication when forensics is applied to the cloud.[1] Since there is no one to one mapping in cloud and... Show more
content on Helpwriting.net ...
The paper proposes solutions to the aforementioned issues in a very detailed manner. The paper 'Log file 's centralization to improve cloud security'
proposes a centralized, secure and comprehensive architecture for log–based analysis for cloud computing platform [3]. It suggests the use of logs
generated by cloud due to different activities performed, defining the policies of which log file should be kept and which files must be transferred, and
reporting of the attacks and threats and attacks based on the analysis of these logs. Algorithms like map–reduce are applied which can report about the
patterns which can lead to attacks based on comparison with the stored values. Updating the policies based on the new findings during the analysis of
the logs files. The paper 'Event Correlation for Log Analysis in the Cloud' proposes an approach for correlating different log based events so that these
logs can be segregated [4]. It uses Infrastructure–as–a–service (IaaS) like OpenStack and through various correlation condition like Attribute–Based
Correlation, Conjunctive Correlation, and Disjunctive Correlation and through this correlation criteria are set. Once policies for correlating events are
defined, association rule mining can be applied to the log data. Based on the mining, classification and clustering of the events can be done which can
later be used for detection of attacks and abnormalities in the system. The paper 'Secure logging

Identifying A Nosql Data Base
For the challenges we are facing be it technical or functional we find a NoSql data base as a best fit. We found out that NoSql incorporates a wide
mixed bag of various database technologies and were produced in response to the rising data needs. Also when in comparison to the RDBMS present
in the market NoSql provides an enriched performance and better scalability solutions. So in search of the best fit as our solution we searched out
various types of NoSql database types and found out about Document databases, Graph databases, Key value stores and other similar types. Let's
explore various market players in each of the type and find the best one.
3.2.1TECHNOLOGIES AVAILABLE IN MARKET
The goal of every NoSql ... Show more content on Helpwriting.net ...
Since Redis is top dog concerning pace and execution, the database is best utilized when time is an issue, including job administration, qeueuing,
analytics and geo look.
Earlier version of REDIS had the facility of on disk storage but this was deprecated in recent versions which provided persistence using snapshotting
in which the data is persisted asynchronously to disk from the memory. Currently its every 2 seconds. So we are risking a few seconds data when the
system goes down.
Best Used when you know the size of data which will be in future and can be used in applications which use real time analytics.
3.2.1.1.2Apache Cassandra
Apache Cassandra is an open source distributed database management framework intended to handle a lot of information crosswise over numerous
product servers, giving high accessibility. The single point of failure is eliminated in Cassandra.
It is a Decentralized database and every node has the capability to serve the request as such there is no use of single master in this case. The key
feature of Cassandra is this distributed architecture which serves very useful for multiple deployments of data centers.
It includes other features like Scalability, Fault–tolerant, support with Hadoop,etc. It gives a recognizable interface (CQL, reminiscent of SQL) and the
learning curve isn 't excessively soak for users.
Best utilized when you have to store information so enormous that it doesn 't fit on server, yet at

Adopting To Achieve Mobile Data Security
Adopting eLockBox to achieve Mobile Data Security
Akshay Prakash Pawar1, Rohan Manoj Thakkar2, SaurabhSahebrao Salunkhe3,
SarveshSuhasKapre4
1,2,3,4Student of Computer Engineering Department
1,2,3,4K. J.Somaiya College of Engineering
Mumbai, Pin no.400077
1akshay070993@gmail.com,2rohan.m.thakkar@gmail.com,3saurabh.salunkhe81@gmail.com,4sarveshk1808@gmail.com
Abstract: Smartphones like android are becoming common. Phones are very small in size and hence easy to misplace. Even a small inattention can
lead to phone theft and hence information theft. Abusers can use your address lists, account information and various passwords that are stored in your
phone. There are many applications that are available to lock your data stored on your ... Show more content on Helpwriting.net ...
For further security eLockBox can also restrict anyone from accessing the files on server on unclassified date and time. If access is restricted on
Sunday from 8 am to 5 pm no person will be able to access the server at the specified time.
Keywords: Security Systems,LockBox, Mobile Data, Data Security, eLockBox, Mobile Data Security.
1.INTRODUCTION
An individual has many personal email accounts and hence he needs to remember their passwords. Remembering all the credit card numbers is a
heavy duty [6]. ELockBox can encrypt one's file containing all the ID's, passwords etc. and store it on the server instead of storing it on the phone
itself. For Encrypting and Decrypting the file AES algorithm is used. AES algorithm can be implemented with 128, 192 and 256 bits[1]. AES
algorithm is efficient to protect classified information which is on SECRET level. For TOP SECRET 192 and 256 bit key AES is recommended.
AES algorithm is the main part in the eLockBox. The passwords required for authentication of a person and file is stored on the server rather than in
one's phone. In the authentication process, a person is required to prove his identity using Login ID's or draw patter (CAPTCHA) or both for better
security. After successfully entering into eLockBox a person can encrypt his file and then upload it on the server. A person is required to remember the
secret key that is generated automatically while the process of encryption. This key

KnowledgeWorker has a local file storage integration as a...
KnowledgeWorker has a local file storage integration as a fundamental function for its users. Users can request importing media from the local file
storage, e.g., hard disk, to the central media repository. Once the media was selected, it will transfer from the local file storage via the importing's
module to the dedicated media server of KnowledgeWorker, as shown in Fig.1. B.Import process using the integration approach The generic
integration of file storage providers emphasizes on the import process. The overall work flow of the import process from file storage to central media
repository of KnowledgeWorker is shown in Fig. 2 The mechanism of importing media asset from local file storage and cloud file... Show more content
on Helpwriting.net ...
After that, the information will flow from cloud file storage providers to KnowledgeWorker. After this step, the procedures of importing process
will continue. After the referral URL and files' information acquired, file streaming process is initialized to obtain duplications of the original files
from the referral URL. The related files' information will also record into the central media repository for the ease of searching. C.Component
overview The generic integration of file storage providers runs on the web browser. It is the component that require the internet connection between
client and server. The component can be separated into client part and server part. As shown in Fig. 3, the component overview of the generic
integration of file storage providers. Moreover, server part consists of four layers categorized by the specific function. Client represents web browser
and the page "create media asset" of KnowledgeWorker to users. Users interact with web browser and web browser will interact with user interface of
the system. Client represents web browser resides on the user's computer. Users interact with web browser and web browser will interact with user
interface of the system. Client will communicate with KnowledgeWorker's server to begin any activities. In this case, client will request the
initialization of the import process. The presentation layer will response for the

Pros And Disadvantages Of ORM Impedence Mismatching
When to non–relate
While relational databases are great, they do come with trade–offs. One of those is ORM Impedence Mismatching, because relational databases were
not initially created with the OOP languages in mind. The best way to avoid this issue is to create your database schema with referential integrity at its
core. So, when using a relational database with an OOP (like Ruby), you have to think about how to set up your primary and foreign keys, the use of
constraints (including the cascade delete and update), and how you write your migrations.
But, if you're dealing with a phenomenally huge amount of data, it can be way too tedious, and the probability of error (in the form of an ORM
Impedance Mismatch issue) increases. In that situation ... Show more content on Helpwriting.net ...
This means you need to perform multiple queries and join the data manually within your code –– and that can get very ugly, very fast.
Since Mongo doesn't automatically treat operations as transactions the way a relational database does, you must manually choose to create a transaction
and then manually verify it, manually commit it or roll it back. Even the documentation on the MongoDB site warns you that without taking some
potentially time–consuming precautions, and since documents can be fairly complex and nested, the success or failure of a database operation cannot
be all or nothing. To put it simply, some operations will succeed while others fail.
Of course, this all brings us back to the beginning; knowing how to ask exactly the right questions in order to effectively whiteboard your data model.
It's this key step that will allow you to determine the best route for you regarding your application's flow. Taking the time to pinpoint the right
questions will serve as a solid guide when choosing the programming language to write your application in, and the use of one particular database over

Advantages And Disadvantages Of Node. Js
SP15–BCS–055–6A–COURSEASSIGNMENT3
1)NODE.Js:
It is an open– source framework and a server–side platform. It responds to actions generated by the user so it provides an event–driven environment.
Node.js uses asynchronous programming which means that when a task is sent to the system, the server does not wait for API to return data and it
does not even block it. Else, it gets ready to handle the request and moves to the next API, and when the file has been read (event) by the system, it
responds to the client. Node.js does not support the buffering of data; it sends the output in chunks which makes it fast in executing the code as well as
memory efficient.
Node.js applications are written in JavaScript. It also provides a library of JavaScript ... Show more content on Helpwriting.net ...
Uses JavaScript syntax for development of applications.Uses TypeScript for development of applications.Uses TypeScript 2.1 and TypeScript 2.2 for
development of applications.
Does not support mobile application development.Totally focuses on mobile application development.Mobile application development is faster with
smaller file size.
Difficulty in developing SEO friendly applications.Can easily build SEO friendly applications by rendering the HTML at server–side. It introduces
View Engine in which 60% size is reduced of the produced code of components.
Animation included in application.Animation included in application.Animation is part of a separate package.
6)JSON:
JSON stands for JavaScript Object Notation. It is very easy to use, read and write since it uses JavaScript syntax but in Text Format which makes it
very easy to change any JS object (form of text) into JSON and vice versa and send/receive to/from the server; known as data–interchange language.
JSON does not depend on the language as it uses the text format and text is not restricted to any particular programming language. It can easily
convert a string from JSON format into JavaScript Objects using a method I.e. JSON.parse(). JSON is a self–documenting language and is very easy to

Smarthings Architecture Analysis
subsection{SmartThings} The open–source platform SmartThings cite{SmartThings} allows users to build applications and connect them to devices,
actions and services offered by the platform. SmartThings also enables the integration of new devices and provides support for applications
(SmartApps) communicating with external Web services by sending notifications via REST messages. begin{figure}[!ht] centering
includegraphics[scale=0.60]{smartthing.PNG} caption{Illustration of the SmartThings architecture.} label{fig:smartthing} end{figure} In Figure
ref{fig:smartthing} shows the infrastructure blocks of the devices illustrating the SmartThings architecture. The Hub provides communication
between the "things"... Show more content on Helpwriting.net ...
begin{figure}[!ht] centering includegraphics[scale=0.60]{restthing.PNG} caption{Illustration of the RestThings architecture.} label{fig:restthing}
end{figure} The RESTful API allows you to transmit data between sensors that use IP protocol, gateways, Web applications using three types of data
formats, JSON, XML and CSV. For access to RESTful objects, the HTTP protocol operations are used: the textbf{GET} method is used to retrieve the
current state of the device, the textbf{PUT} method is used to modify the current state of the device, the textbf{POST} method is used to create a
new device; textbf{DELETE} to remove an device and, in addition, the textbf{LIST} method, which allows you to get all device connected to the
platform. subsubsection*{Use Case} The Monitor Temperature and Heart beat application is user interface in smart phone that combines physical and
Web resources in the Restful API. The real–time data view is used to obtain current data from WSNs. The smart phone updates this information through
sending GET to the restful gateway. The gateway will give the response as the feedback to the phone. The temperature sensor whose device number is
one to get current internal lab room temperature as used in Smart Health environments cite{Lavanya}. subsection{Xively} The Xively
platformcite{Xively} provides an API for manager data from the sensors/devices through cloud services, allowing the visualization

Gender Recognition And Android Development
Gender Recognition and
Android Development
Summer Internship Report
TBI Online, Noida
Prakhar Singh
IV Year, ECW
Acknowledgement
The internship I had with TBI Online was a great chance for me to work with and learn from a professional environment. I am very grateful that I was
provided with this opportunity. I consider myself lucky for having a chance to meet so many wonderful people and professionals who mentored me
throughout my internship period.
I am using this opportunity to express my deepest gratitude and special thanks to my mentor Rohit Sharma (CTO), who took out his valuable time to
help me out and guide me, allowing me to carry out my project, and for giving me necessary guidance
I would also like to express my deepest sense of gratitude to Mr Vipul (Lead Developer) for his careful and precious guidance which were extremely
valuable to me, and his helping in getting me acquainted with the company infrastructure.
I perceive this opportunity as a big milestone in my career development. I will strive to use gained skills and knowledge in the best possible way, and
I will continue to work on their improvement, in order to attain desired career objectives.
Sincerely
Prakhar Singh
Table of Contents

Abstract
Company Profile
About TBI Online
Technologies
Products
Interactions
Objective
Literature Review
Technical Details (Work Done)
Gender Recognition
Android Code Review
Results
Timeline
Conclusion
Future Work
References

Electronic Health Record ( Ehr ) Systems Integration With...
Electronic Health Record (EHR) Systems Integration With Clarity Connect The challenges of integrating diverse healthcare standards, intranet and
Internet communications, patient and consultant accessibility to EHRs and internal business systems require an exceptionally mobile, intuitive and
secure platform. EMR and EHR software are designed to integrate electronic health records into healthcare businesses to provide HIPAA compliance.
However, to meet or exceed these requirements and offer patients, medical staff, insurance providers and outside consultants access to EMRs and
EHRs, healthcare businesses need a robust communications platform to connect these stakeholders. The benefits of offering Web access to health
records include better patient care, cost savings and efficiencies, better coordination between medical service providers and greater patient participation
in his or her own care. Integrating with Top EHR Software The Health Information Technology for Economic and Clinical Health (HITECH) Act of
2009 committed federal resources by creating incentives for integrating EHR and EMR systems with patient–accessible websites. These integrations
offer sweeping advantages for health care companies that include: Using Skype for Business to manage communications about patient care among
healthcare staff, outside consultants and patients Qualifying for Medicare and Medicaid Electronic EHR Incentive Programs Improving data
accessibility to clinicians, patients and outside

The Relational Model For Data Storage
Abstract
The relational model, which uses predefined tabular relations to store data, has remained the preeminent model for data storage since it was first
implemented in the early 1980s. However, due to the proliferation of the Internet, today data flows in and out of organizations quickly, and most of this
data is in a semi–structured state that is designed for communication over http. It is difficult to fit this complex data into a flat two dimensional array.
For that reason, it is imperative that companies have the ability to store data in a semi–structured format compatible with modern network
communications as well as various platforms and devices. The market has realized this and responded with document stores that support formats, ...
Show more content on Helpwriting.net ...
However, the proliferation of the Internet in the late twentieth century has changed the database landscape rapidly and drastically.
Today, interconnected networks around the globe stream data to a profusion of devices that range from powerful mainframe supercomputers, and
massive grids of commodity machines to smartphones and tiny single–board computers embedded in home appliances. Most of the flow of data is
done through the Internet or over other large TCP/IP networks that utilize HTTP communications. For that reason, most of this data is in a
semi–structured state that is designed not for storage in a relational database, but for communication over HTTP. This data often arrives and leaves in a
voluminous stream. It is therefore difficult for organizations to convert the data quickly to and from a format that is conforms to the rigid tabular
structure of a relational schema.
Support for semi–structured data is integral to the collection and storage of data in the Internet age. While the relational model is sill a good long term
storage solution, organizations must be able to store and query semi–structured data that is in a format compatible with HTTP communication because
almost all modern devices use this medium of communication. While XML can serve as a solution to this problem, JSON, a condensed format that is
based on the well–known JavaScript language, has many benefits over XML which I will

Essay On Resume And Twitter
IV. SIMULATION AND RESULTS The dataset used in this research contains 1000 resumes. These resumes were downloaded manually from
Indeed.com [10]. Most of these resumes did not have a standard format. These were collected randomly and have different job descriptions. Also,
most of them were in PDF format, and the others were with DOC or DOCX extensions. This section focuses on implementing the methodology
discussed in Section III for data extraction from resume and Twitter, and representing it in a structured format. Python (anaconda 3.6) [11] was used
due to its ease and convenience of having many packages in the field of text mining [7]. In the data extraction phase, the data is extracted and prepared
for further processing. The resume... Show more content on Helpwriting.net ...
It was extracted using the string slicing and POS tagging. The words that have noun (NN) as parts of speech are selected as the name of the
candidate. Also, the candidate's address, skills, and education were extracted using POS tagging. The address usually has the same pattern, which
is the name of the city followed by the state abbreviation. It checks if the first word is a noun (NN) followed by a comma, and the length of the
second word is equal to two: such as Erie, PA. The candidate's skills and education were extracted by checking each sentence in the resume. If any
sentence has any phrases that are related to skills then appropriate nouns (NN) from these sentences are extracted as skills. Similarly, education
section is filled with NN in education or qualification. The regular expression library was used to extract the candidate's email that has a specific
pattern. In the sentiment extraction phase, the candidate's name extracted from the resume was used to search on Twitter to find his/her profile. The
candidate's tweets are retrieved for further processing using Tweepy package and its API [13]. Then, these tweets are analysed to extract the
sentiments for each candidate. This is done by using Textblob package which is a popular natural language processer [14]. In the data consolidation
phase, the extracted data from resume and Twitter are

Description Of A Relational Database
NoSQL is the generalized term to describe a relational database that uses no form of SQL language querying and consists of several data models to
define it. My topic of this research paper is the Document Store data model. I will be covering the introduction of the model and its mechanics, how
and when the model emerged, its strengths and weaknesses, and it's real world applications.
Introduction and How it Works
Document Store or "Document–oriented database" is a data model within the NoSQL family, made for storing, retrieving, and managing document
based information. The concept revolves around documents containing large amounts of data. A variety of documents are accepted, from there they are
encapsulated into an internal format, and ... Show more content on Helpwriting.net ...
Both use the Document database concept, but differ in it's process and tools. Julie Lerman explains in her article "What the Heck Are Document
Databases" that Raven DB was written for the Microsoft .NET Framework and growing in popularity.
Model Emergence
In the 1970s, relational databases were introduced with data schemas simple and straightforward, conceiving objects as sets of relationships. as
mentioned in the Document Database webpage "an article object might be related to category (an object), a tag (another object), and a comment
(another object)".
These relationships between different types of data were defined in a database schema, the relational database could be queried with a standard
Structured Query Language (SQL). These SQL based databases require a fixed amount of tables, a fixed amount of columns in each table, with each
column represent a fixed data type (integer, string, etc). Consequently fields of data stored in each column must comply with the structure of the
database and its tables. whatever data you want to store must be known to create an appropriate database schema, this is the concept behind relational
databases.
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

The Structure Of The Foundation Of Json Schema
Foundation of JSON Schema
Introduction
JSON (JavaScript Object Notation) is the most popular semi structured data format for sending API requests and responses but it is still lacking a
standardized schema or meta data definition that allows the developers to specify the structure of JSON documents. JSON is a data format based on the
data types of JavaScript Programming. JSON data models comprises of strings, numbers and other types of data that database system treats as atomic.
JSON is also used for storing data, and that too in the format of choice for several document–oriented databases such as MongoDB[3] and
CouchDB[5]. This paper has been formally arranged in a way that it provides the reader complete understanding of what JSON is and ... Show more
content on Helpwriting.net ...
In the next step, the practical use case of increasing importance is demonstrated in Schema definition for Wikidata [6].
All the six types of valid JSON document such as object, array, string. Numbers, boolean values and null can be specified by a JSON schema.
Here, the key point to understand is that a JSON document satisfies a schema if it satisfies all keywords of schema. Formally, a schema S and a
document J can be represented as J|= S to describe that J satisfies S. |= is to define all six types of JSON document as well as their combinations and
enumerations.
Formal Analysis
The efficiency of working with JSON schema and its expressive power is discussed in this section. It is observed whether the computational cost of
document conforms to a schema. Later, JSON schema is compared with various well established theoretical formalisms such as nondeterministic finite
state automata.
Practical Considerations
To understand the efficiency and applicability of JSON Schema, an experimental analysis is undergone in this section of the article where the author
initially runs a series of experiments to test self–developed validators under JSON document of increasing sizes. Later, a real use case named Wikidata
Database is used where JSON schema can be naturally used.
Experiment under JSON document of increasing size
For this experiment, a machine with 8 GB

Advantages And Differences Between SQL And Nosql
Introduction
SAP also known as systems applications and products in data processing is one of the better IT companies at the moment. It is a German software
company which develops software for both small and large businesses to track customer and business interactions. Their largest software is ERP
(Enterprise Planning Resource). The software was given the same name as the company name which can be slightly confusing at times. The company
have offices in almost 130 countries and their software operates in 180 countries with 335,000 users spread across. As per task this research paper will
challenge the comparison and contrast of NoSQL databases with relational database managing system which will be explained in greater detail further
in the ... Show more content on Helpwriting.net ...
Lack ability to perform ACID transactions
Figure 2 Both databases have some advantages and disadvantages. As seen in "Figure 2" there are listed some limitations of both. Although the
NoSQL database is not as well tested as SQL it will still keep growing as the technology advances so well and performance must be improved which
NoSQL allows for. Below in "Figure 3" are listed some advantages of both databases.
Advantages
Uses long established standards used by ASCIEasier to manage, files are more organised
SQL is a simple language which uses standard English keywordsHigher level of flexibility
Easily maintained as all tools are provided unlike in NoSQLOpen source meaning it is available to even the smallest company at a very low cost
It is not as fast as NoSQL although SQL has its own simplicity which organizations like. Detail database model is not needed therefore it increases
efficiency due to time saving.
Figure 3 Return On

Why Some Companies Use Couchbase Instead Of Other Servers...
The couchbase data storage becomes clear when we look at the reasons of why some companies use Couchbase instead of other servers. For instance,
LinkedIn has chosen Couchbase to handle the big number of users that is around 225 million members around the world. Couchbase has features like
scalability of high data and access availability that the company needs for logging, monitoring and analyzing the activities of their big users. At first
LinkedIn used Memcached to store their data, but found that Memcached used independent requests that do not share data between them. This causes
data conflict and slows the application performance. Then, LinkedIn replaced Memcached with a Couchbase Server that provides fast and scalable
storages to handle their previous and new data (www.couchbase.com). What is Couchbase Mobile? With the development of technology, storing huge
data is not the ultimate task of data administrators. They want users to have the ability to share data among multiple mobile devices. So, Couchbase
Mobile is defined as NoSQL databases that is used in mobile. It delivers easy access to data either with a network connection or without it. Couchbase
Mobile consists of three elements: Couchbase Sync Gateway, Couchbase Lite, and Couchbase Server (www.couchbase.com). The Couchbase Sync
Gateway is a way to securely link the data between the mobile and the cloud by using web–facing cloud. Sync Gateway assists the process of
synchronization because it provides balance

Information Technology : A New Generation Of Sql
I.Introduction
Information technology continues to revolutionize the interactions of mankind in various ways, through social media, business, education and other
channels. The internet has made it possible to transmit large data across many networks. These networks have made it possible to store, access and
query billion of data from large databases. Innovation has given rise to special language used to manage and access all sorts of information within
various databases know as SQL. Recently a new generation of SQL known as NoSQL has been developed. NoSQL store related data in JSON–like,
name–value documents and can store data without specifying a schema. One such type of NoSQL database that has been developed is the IBM Informix
... Show more content on Helpwriting.net ...
Many organizations use the Informix database capability including DHL and CISCO.
III.NoSQL capability
IBM Informix provides the following NoSQL dimensions (IBM Informix Simply powerful):
Application development flexibility
JavaScript Object Notation (JSON) documents are a fully–supported data type. IBM Informix provides a rich set of APIs for storing, manipulating and
retrieving JSON documents, accessible from a wide range of programming environments.
All of the enterprise–level capabilities of IBM Informix can be applied to the JSON document stores, including compression, replication and high
availability, transactional consistency, multi–node scalability and more.
Web developers can now access data without having to write SQL. But that 's not all – the traditional SQL model can still be applied when needed,
such as mission–critical transactional workloads. The two methodologies
Hybrid automated decision making supports SQL and NoSQL
IBM Informix determines if you are dealing with a JSON Collection or a SQL tables and processes the operations appropriately. Thus IBM Informix's
ability to access JSON documents and/or SQL tables within the popular MongoDB APIs provides the foundation for a single hybrid application to span
all of the enterprise data.
Enterprise level performance The IBM Informix NoSQL solution gives you ACID principles when they are needed, along with

Key Features Of The Database Management System
.In this paper we will examine the key features of the database management system MongoDB. Day–to–day information is growing in gigantic amount.
Generated information include predominant information and it will have to be analyzed for gathering essential expertise. On the whole, relational
databases are used so as to system the data. These, ways works successfully for small amount of knowledge. What if the data is very tremendous? To
avoid this problems Mongo databases are introduced. MongoDB is a cross–platform document–oriented database. Classified as a NoSQL databases.
NoSQL meets the requirements of the large–scale distributed computing environment, which provides scalability, high availability, high performance
and reliability. NoSQL databases are increasingly used in big data and real–time web applications. Using NoSQL provides the benefit of storing data in
schema less structure. NoSQL is not a brand new database technology; yet, it provides the possibility and flexibility of handling complex
semi–structured data and optimizes solutions to different types of data in this massive and data–intensive era of large–scale computing.
Introduction:
MongoDB is a structure free and it is a cross–platform document oriented database. MongoDB is developed by 10gen. MongoDB is classified as a non
SQL database. NoSQL stores include the use of low–level query languages (instead of SQL, for instance the lack of ability to perform ad–hoc JOINs
across tables), lack of standardized

Research And Development Of A Mobile Web Application
Research and Development of a Mobile Web Application
For Conducting Risk Assessments
Stephen J. Donnellon
Walsh College of Accountancy and Business
Abstract
The information age has brought with it the need to secure computer networks against unauthorized access, data manipulation and identification
protection. "There is no such thing as 100% secure" or "if an attacker wants something bad enough they will get it", is heard often when information
assurance is discussed. In fact, as one Information Security professional well knows, when a defense is developed to stop the breach, the enemy
exhausts all means to find another way to get to the information/data or the "golden nugget". This game of "cat and mouse" is no more omnipresent
than in the field of Risk Management. One of the many important tools used to "fight the good fight" against nefarious groups is the Risk Assessment.
The risk assessment application being developed is no stranger to these cyber–delinquents and is developed with a blend of the top recommendations
from the various agencies. The RAAPP will increase the feasibility of conducting a risk assessment; thereby increasing the frequency risk assessments
are conducted in order to fortify operations and protect the "golden nugget".
Discussion
Information security breach vulnerabilities are growing at a rapid rate with no end in sight. The threat is migrating from financial, healthcare and
business industries to the home as every new major appliance purchased

Security Policies For Schema Less Or Dynamic Schema...

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