The document discusses the key concepts of database management systems (DBMS). It describes how DBMS were developed to address limitations of using file systems to store data, such as data redundancy, difficulty of accessing data, and integrity issues. It then covers database concepts like data models, relational databases, database design approaches, and the core components of a database management system including storage management, query processing, and transaction management.
Presentation about the most interesting SDMX tools. How tio start working with SDMX using the ISTAT SDMX Framework, a set of building blocks to easily set up an SDMX architecture
Presentation about the most interesting SDMX tools. How tio start working with SDMX using the ISTAT SDMX Framework, a set of building blocks to easily set up an SDMX architecture
OUDG : Cross Model Datum Access with Semantic Preservation for Legacy Databases csandit
Conventional databases are associated with a plurality of database models. Generally database
models are distinct and not interoperable. Data stored in a database under a particular
database model can be termed as “siloed data”. Accordingly, a DBMS associated with a
database silo, is generally not interoperable with another database management system
associated with another database sil. This can limit the exchange of information stored in a
database where those desiring to access the information are not employing a database
management system associated with the database model related to the information. The DBMS
of various data models have proliferated into many companies, and become their legacy
databases. There is a need to access these legacy databases using ODBC. An ODBC is for the
users to transform a legacy database into another legacy database. This paper offers an end
user’s tool of Open Universal Database Gateway(OUDG) to supplement ODBC by
transforming a source legacy database data into Flattened XML documents, and further
transform Flattened XML document into a target legacy database. The Flattened XML
document is a mixture of relational and XML data models, which is user friendly and is a data
standard on the Internet. The result of reengineering legacy databases into each other through
OUDG is information lossless by the preservation of their data semantics in terms of data
dependencies.
Catalog-based Conversion from Relational Database into XML Schema (XSD)CSCJournals
Where we are in the age of information revolution, exchange information, and transport data effectively among various sectors of government, commercial, service and industrial, etc., the uses of a new databases model to support this trend has become very important because inability of traditional databases models to support it. eXtensible Markup Language (XML) considers a new standard model for data interchange through internet and mobiles devices networks, it has become a common language to exchange and share the data of traditional models in easy and inexpensive ways. In this research, we propose a new technique to convert the relational database contents and schema into XML schema (XSD- XML Schema Definition), the main idea of the technique is extracting relational database catalog using Structured Query Language (SQL). We follow three steps to complete the conversion process. First, extracting relation instance (actual content) and schema catalog using SQL query language, which consider the required information to implement XML document and its schema. Second, transform the actual content into XML document tree. The idea of this step is converting table columns of the relations (tables) into the elements of XML document. Third, transform schema catalog into XML schema for describing the structure of the XML document. To do so, we transform datatype of the elements and the variant data constrains such as data length, not null, check and default, moreover define primary foreign keys and the referential integrity between the tables. Overall results of the technique are very promise while the technique is very clear and does not require complex procedures that could adversely effect on the results accuracy. We performed many experiments and report their elapsed CPU times.
HYBRID DATABASE SYSTEM FOR BIG DATA STORAGE AND MANAGEMENTIJCSEA Journal
Relational database systems have been the standard storage system over the last forty years. Recently, advancements in technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can handle. Developers are turning to NoSQL which is a non- relational database for data storage and management. Some core features of database system such as ACID have been compromised in NOSQL databases. This work proposed a hybrid database system for the storage and management of extremely voluminous data of diverse components known as big data, such that the two models are integrated in one system to eliminate the limitations of the individual systems. The system is
implemented in MongoDB which is a NoSQL database and SQL. The results obtained, revealed that having these two databases in one system can enhance storage and management of big data bridging the gap between relational and NoSQL storage approach.
A database is an organized collection of data. The data are typically organized to model relevant aspects of reality in a way that supports processes requiring this information.
A Survey of Non -Relational Databases with Big Datarahulmonikasharma
The paper's objective is to provide classification, characteristics and evaluation of available non relational database systems which may be used in Big Data Predictions and Analytics .Paper describes why Relational Database Bases Management Systems such as IBM’s, DB2, Oracle, and SAP fail to meet the Big Data Analytical and Prediction Requirements. The paper also compares the structured, semi-structured, and unstructured data. The paper also includes the various types of NoSQL databases and their specifications Finally, the operational issues such as scale, performance and availability of data by utilizing these database systems will be compared.
OUDG : Cross Model Datum Access with Semantic Preservation for Legacy Databases csandit
Conventional databases are associated with a plurality of database models. Generally database
models are distinct and not interoperable. Data stored in a database under a particular
database model can be termed as “siloed data”. Accordingly, a DBMS associated with a
database silo, is generally not interoperable with another database management system
associated with another database sil. This can limit the exchange of information stored in a
database where those desiring to access the information are not employing a database
management system associated with the database model related to the information. The DBMS
of various data models have proliferated into many companies, and become their legacy
databases. There is a need to access these legacy databases using ODBC. An ODBC is for the
users to transform a legacy database into another legacy database. This paper offers an end
user’s tool of Open Universal Database Gateway(OUDG) to supplement ODBC by
transforming a source legacy database data into Flattened XML documents, and further
transform Flattened XML document into a target legacy database. The Flattened XML
document is a mixture of relational and XML data models, which is user friendly and is a data
standard on the Internet. The result of reengineering legacy databases into each other through
OUDG is information lossless by the preservation of their data semantics in terms of data
dependencies.
Catalog-based Conversion from Relational Database into XML Schema (XSD)CSCJournals
Where we are in the age of information revolution, exchange information, and transport data effectively among various sectors of government, commercial, service and industrial, etc., the uses of a new databases model to support this trend has become very important because inability of traditional databases models to support it. eXtensible Markup Language (XML) considers a new standard model for data interchange through internet and mobiles devices networks, it has become a common language to exchange and share the data of traditional models in easy and inexpensive ways. In this research, we propose a new technique to convert the relational database contents and schema into XML schema (XSD- XML Schema Definition), the main idea of the technique is extracting relational database catalog using Structured Query Language (SQL). We follow three steps to complete the conversion process. First, extracting relation instance (actual content) and schema catalog using SQL query language, which consider the required information to implement XML document and its schema. Second, transform the actual content into XML document tree. The idea of this step is converting table columns of the relations (tables) into the elements of XML document. Third, transform schema catalog into XML schema for describing the structure of the XML document. To do so, we transform datatype of the elements and the variant data constrains such as data length, not null, check and default, moreover define primary foreign keys and the referential integrity between the tables. Overall results of the technique are very promise while the technique is very clear and does not require complex procedures that could adversely effect on the results accuracy. We performed many experiments and report their elapsed CPU times.
HYBRID DATABASE SYSTEM FOR BIG DATA STORAGE AND MANAGEMENTIJCSEA Journal
Relational database systems have been the standard storage system over the last forty years. Recently, advancements in technologies have led to an exponential increase in data volume, velocity and variety beyond what relational databases can handle. Developers are turning to NoSQL which is a non- relational database for data storage and management. Some core features of database system such as ACID have been compromised in NOSQL databases. This work proposed a hybrid database system for the storage and management of extremely voluminous data of diverse components known as big data, such that the two models are integrated in one system to eliminate the limitations of the individual systems. The system is
implemented in MongoDB which is a NoSQL database and SQL. The results obtained, revealed that having these two databases in one system can enhance storage and management of big data bridging the gap between relational and NoSQL storage approach.
A database is an organized collection of data. The data are typically organized to model relevant aspects of reality in a way that supports processes requiring this information.
A Survey of Non -Relational Databases with Big Datarahulmonikasharma
The paper's objective is to provide classification, characteristics and evaluation of available non relational database systems which may be used in Big Data Predictions and Analytics .Paper describes why Relational Database Bases Management Systems such as IBM’s, DB2, Oracle, and SAP fail to meet the Big Data Analytical and Prediction Requirements. The paper also compares the structured, semi-structured, and unstructured data. The paper also includes the various types of NoSQL databases and their specifications Finally, the operational issues such as scale, performance and availability of data by utilizing these database systems will be compared.
SQL (Structured Query Language) is a powerful domain-specific language designed for managing and manipulating relational databases. It allows users to define, query, and manipulate data in a relational database management system (RDBMS). SQL consists of various commands, such as SELECT, INSERT, UPDATE, and DELETE, enabling users to interact with databases efficiently.
PL/SQL (Procedural Language/SQL) is an extension of SQL developed by Oracle. It integrates procedural constructs with SQL, allowing for the creation of stored procedures, functions, and triggers. PL/SQL enhances the capabilities of SQL by providing procedural programming features like loops, conditional statements, and exception handling. This enables the development of more complex and dynamic database applications.
DBMS (Database Management System) is a software suite that facilitates the creation, management, and interaction with databases. It provides an interface for users and applications to interact with the database, ensuring data integrity, security, and efficient data retrieval. Popular relational database management systems include Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL.
In summary, SQL is the language used to communicate with databases, PL/SQL extends SQL by adding procedural programming capabilities, and a DBMS is the overarching software that manages databases, ensuring optimal organization and retrieval of data. Each component plays a crucial role in the efficient and secure operation of database systems. If you have specific questions or need more details on any aspect, feel free to ask!SQL (Structured Query Language) is a powerful domain-specific language designed for managing and manipulating relational databases. It allows users to define, query, and manipulate data in a relational database management system (RDBMS). SQL consists of various commands, such as SELECT, INSERT, UPDATE, and DELETE, enabling users to interact with databases efficiently.
PL/SQL (Procedural Language/SQL) is an extension of SQL developed by Oracle. It integrates procedural constructs with SQL, allowing for the creation of stored procedures, functions, and triggers. PL/SQL enhances the capabilities of SQL by providing procedural programming features like loops, conditional statements, and exception handling. This enables the development of more complex and dynamic database applications.
DBMS (Database Management System) is a software suite that facilitates the creation, management, and interaction with databases. It provides an interface for users and applications to interact with the database, ensuring data integrity, security, and efficient data retrieval. Popular relational database management systems include Oracle Database, MySQL, Microsoft SQL Server, and PostgreSQL.
In summary, SQL is the language used to communicate with databases, PL/SQL extends SQL by adding procedural programming capabilities, and a DBMS is the overarching software that manage database
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.
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.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.