This document discusses the key components of a database system including applications, file systems, data views, query processors, users and administrators, data languages, transaction management, and storage managers. It provides examples of common database applications and describes how data is abstracted at the physical, logical, and view levels. It also explains the roles of DDL, DML, transactions, and storage managers in database design and management.
Database Management System IntroductionSmriti Jain
The document discusses key concepts in databases including:
- Data refers to raw facts and details, while entities are things that data describes with attributes.
- A record combines all details of an entity, files group related records, and a database collects logically related files and records.
- A database management system (DBMS) enables users to define, create and maintain databases and provides flexible data management.
- DBMS benefits include centralized data control, consistency, sharing, and independence from applications.
This document provides an overview of basic database concepts including:
- Definitions of data, information, and databases
- Components of database systems like users, software, hardware, and data
- Data models including entity-relationship, hierarchical, network, and relational models
- Database architecture types such as centralized, client-server, and distributed
- Advantages and disadvantages of database management systems
This document introduces SQL and its basic concepts. It defines SQL as the language used to communicate with relational databases and retrieve data. It discusses that SQL can be pronounced as "S-Q-L" or "sequel" and describes how different vendors have extended SQL with their own commands while maintaining standard SQL. It outlines the different types of SQL statements and gives examples. It concludes by listing some common data types used in columns like integer, money, varchar, and date.
This document discusses Relational Database Management Systems (RDBMS). It provides an overview of early database systems like hierarchical and network models. It then describes the key concepts of RDBMS including relations, attributes, and using tables, rows, and columns. RDBMS uses Structured Query Language (SQL) and has advantages over early systems by allowing data to be spread across multiple tables and accessed simultaneously by users.
This document provides an introduction to databases, including their purpose, types, and structured models. It defines a database as a collection of organized data and describes how they allow users to easily store, manage, update, and access information. The key types are operational databases for day-to-day operations and analytical databases for long-term analysis. Structured database models discussed include hierarchical, network, relational, entity-relationship, dimensional, and object-relational. Relational database terminology like data, information, tables, records, fields, keys, and relationships are also defined.
Dbms architecture
Three level architecture is also called ANSI/SPARC architecture or three schema architecture
This framework is used for describing the structure of specific database systems (small systems may not support all aspects of the architecture)
In this architecture the database schemas can be defined at three levels explained in next slide
This document provides an introduction to database management systems (DBMS) and relational database management systems (RDBMS). It defines a database as a collection of related data organized for easy access, management, and updating. A DBMS is software that allows users to create, define, and manipulate databases. It provides protection and security. RDBMS introduced the relational model, using relationships between tables via primary keys, foreign keys, and indexes. This made data fetching and storage faster compared to earlier navigational models. RDBMS is widely used by enterprises for complex, large datasets.
This document discusses the key components of a database system including applications, file systems, data views, query processors, users and administrators, data languages, transaction management, and storage managers. It provides examples of common database applications and describes how data is abstracted at the physical, logical, and view levels. It also explains the roles of DDL, DML, transactions, and storage managers in database design and management.
Database Management System IntroductionSmriti Jain
The document discusses key concepts in databases including:
- Data refers to raw facts and details, while entities are things that data describes with attributes.
- A record combines all details of an entity, files group related records, and a database collects logically related files and records.
- A database management system (DBMS) enables users to define, create and maintain databases and provides flexible data management.
- DBMS benefits include centralized data control, consistency, sharing, and independence from applications.
This document provides an overview of basic database concepts including:
- Definitions of data, information, and databases
- Components of database systems like users, software, hardware, and data
- Data models including entity-relationship, hierarchical, network, and relational models
- Database architecture types such as centralized, client-server, and distributed
- Advantages and disadvantages of database management systems
This document introduces SQL and its basic concepts. It defines SQL as the language used to communicate with relational databases and retrieve data. It discusses that SQL can be pronounced as "S-Q-L" or "sequel" and describes how different vendors have extended SQL with their own commands while maintaining standard SQL. It outlines the different types of SQL statements and gives examples. It concludes by listing some common data types used in columns like integer, money, varchar, and date.
This document discusses Relational Database Management Systems (RDBMS). It provides an overview of early database systems like hierarchical and network models. It then describes the key concepts of RDBMS including relations, attributes, and using tables, rows, and columns. RDBMS uses Structured Query Language (SQL) and has advantages over early systems by allowing data to be spread across multiple tables and accessed simultaneously by users.
This document provides an introduction to databases, including their purpose, types, and structured models. It defines a database as a collection of organized data and describes how they allow users to easily store, manage, update, and access information. The key types are operational databases for day-to-day operations and analytical databases for long-term analysis. Structured database models discussed include hierarchical, network, relational, entity-relationship, dimensional, and object-relational. Relational database terminology like data, information, tables, records, fields, keys, and relationships are also defined.
Dbms architecture
Three level architecture is also called ANSI/SPARC architecture or three schema architecture
This framework is used for describing the structure of specific database systems (small systems may not support all aspects of the architecture)
In this architecture the database schemas can be defined at three levels explained in next slide
This document provides an introduction to database management systems (DBMS) and relational database management systems (RDBMS). It defines a database as a collection of related data organized for easy access, management, and updating. A DBMS is software that allows users to create, define, and manipulate databases. It provides protection and security. RDBMS introduced the relational model, using relationships between tables via primary keys, foreign keys, and indexes. This made data fetching and storage faster compared to earlier navigational models. RDBMS is widely used by enterprises for complex, large datasets.
This document discusses different data models used in database management systems including record-based, relational, network, hierarchical, and entity-relationship models. It provides details on each model such as how data is organized. A record-based model uses fixed-length records and fields. The relational model organizes data into tables with rows and columns. The network model links entities through multiple paths in a graph structure. The hierarchical model arranges data in a tree structure. Finally, the entity-relationship model views the real world as entities and relationships between entities.
Introduction to MongoDB and CRUD operationsAnand Kumar
Learn about MongoDB basics, its advantages, history.
Learn about the installation of MongoDB.
Learn Basics of create,insert,update,delete documents in MongoDB.
Learn basics of NoSQL.
This document provides an overview of relational database management systems (RDBMS). It defines RDBMS as a system that structures data into tables with rows and columns, and can relate these tables through common fields. The key aspects covered include relational algebra operations like select, project, join; structured query language (SQL) for manipulating and retrieving data; and the advantages of RDBMS like supporting a tabular data structure, multi-user access, and imposing integrity constraints.
The document compares file systems and database management systems (DBMS) for storing a company's 500GB of employee, department, product, and sales data. It notes several drawbacks of using a file system, including data redundancy, integrity issues, restricted concurrent access, and lack of flexibility. It then outlines key advantages of using a DBMS instead, such as data sharing, enforcement of security and integrity, reduction of redundancy, and support for concurrent access and crash recovery.
The document discusses data abstraction and the three schema architecture in database design. It explains that data abstraction has three levels: physical, logical, and view. The physical level describes how data is stored, the logical level describes the data and relationships, and the view level allows applications to hide data types and information. It also describes instances, which are the current stored data, and schemas, which are the overall database design. Schemas are partitioned into physical, logical, and external schemas corresponding to the levels of abstraction. The three schema architecture provides data independence and allows separate management of the logical and physical designs.
The document discusses database management systems. It defines a database as an organized collection of stored data that can be accessed electronically. A database management system (DBMS) is software that allows users and applications to capture, analyze, and interact with a database. A DBMS performs tasks like data definition, updates, retrieval, and administration. It stores data on dedicated database servers for security, reliability, and high-performance access and management of the stored data. A DBMS provides multiple logical views of the database data for different user groups and roles.
Entity Relationship Diagrams (ERDs) are conceptual data models used in software engineering to model information systems. ERDs represent entities as rectangles, attributes as ellipses, and relationships as diamonds connecting entities. Attributes can be single-valued, multi-valued, composite, or derived. Relationships have cardinality like one-to-one, one-to-many, many-to-one, or many-to-many. Participation constraints and Codd's 12 rules of relational databases are also discussed in the document.
The document discusses MySQL and SQL concepts including relational databases, database management systems, and the SQL language. It introduces common SQL statements like SELECT, INSERT, UPDATE, and DELETE and how they are used to query and manipulate data. It also covers topics like database design with tables, keys, and relationships between tables.
The document discusses the entity relationship (ER) model used for conceptual database design. It describes the key components of an ER diagram including entities represented as rectangles, attributes described as ovals, and relationships shown as diamonds. Different types of relationships are also defined such as one-to-one, one-to-many, many-to-one, and many-to-many. The ER model provides a way to design and visualize the entities, attributes, and relationships within a database in a simple diagram.
This document discusses database languages used in database management systems (DBMS). It describes three types of database languages: data definition language (DDL) used to define and modify the database schema; data manipulation language (DML) used to insert, update, delete and retrieve data; and data control language (DCL) used to control access privileges. Examples are provided for common statements in each language type like CREATE, ALTER, DROP for DDL and INSERT, UPDATE, DELETE, SELECT for DML. Case sensitivity and data types are also briefly covered.
What is data and information? What is data base? What is data base management system? What are various data base models??? Components of data base function of data base. Advantages of data base. And what is system language query???
Basic Data Management Concept
Organizing Data in a Database
Database Management Systems
Organizing Data in a Traditional File Environment
File organization Term and Concepts
Computer system organizes data in a hierarchy
Bit: Smallest unit of data; binary digit (0,1)
Byte: Group of bits that represents a single character
Field: Group of characters as word(s) or number
Record: Group of related fields
File: Group of records of same type
The document discusses the three levels of database management system (DBMS) architecture: the internal level, conceptual level, and external level. The internal level defines how data is physically stored. The conceptual level describes the overall database structure and hides internal details. The external level presents different views of the database customized for specific user groups.
Basic Concept Of Database Management System (DBMS) [Presentation Slide]Atik Israk
This document provides an overview of basic concepts in database management systems (DBMS). It defines key terms like database, DBMS, software examples, purposes of DBMS, applications, and terminology. Specifically, it outlines what a database is, the role of a DBMS in providing management and control of data access. It lists example DBMS software and how DBMS reduce data redundancy and ensure security. Applications of DBMS mentioned include libraries, banking, education and telecommunications. Terminology defined includes entity, attribute, record, key, and relationship.
Integrity constraints are rules used to maintain data quality and ensure accuracy in a relational database. The main types of integrity constraints are domain constraints, which define valid value sets for attributes; NOT NULL constraints, which enforce non-null values; UNIQUE constraints, which require unique values; and CHECK constraints, which specify value ranges. Referential integrity links data between tables through foreign keys, preventing orphaned records. Integrity constraints are enforced by the database to guard against accidental data damage.
This document provides information about different types of database languages. It discusses database definition languages (DDL) which are used to define the database structure, data manipulation languages (DML) which are used to retrieve and modify data, data control languages (DCL) which control security and access, and transaction control languages (TCL) which manage transactions. Examples of commands for each language type are provided, such as CREATE, ALTER, and DROP for DDL and SELECT, INSERT, UPDATE, and DELETE for DML.
This document defines database and DBMS, describes their advantages over file-based systems like data independence and integrity. It explains database system components and architecture including physical and logical data models. Key aspects covered are data definition language to create schemas, data manipulation language to query data, and transaction management to handle concurrent access and recovery. It also provides a brief history of database systems and discusses database users and the critical role of database administrators.
A database management system (DBMS) is software that allows for the creation, management, and use of databases. A DBMS provides users and administrators with various tools and applications to store, organize, and access data. It allows for data to be easily retrieved, filtered, sorted, and updated efficiently. Some key components of a DBMS include the database users, the data itself, software and procedures, hardware, and database access languages. DBMSs are widely used in applications such as banking, universities, e-commerce, and more.
What is RDBMS?
RDBMS stands for Relational Database Management System. RDBMS is the basis for SQL, and for all modern database systems like MS SQL Server, IBM DB2, Oracle, MySQL, and Microsoft Access.
A Relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model as introduced by E. F. Codd.
This document discusses different data models used in database management systems including record-based, relational, network, hierarchical, and entity-relationship models. It provides details on each model such as how data is organized. A record-based model uses fixed-length records and fields. The relational model organizes data into tables with rows and columns. The network model links entities through multiple paths in a graph structure. The hierarchical model arranges data in a tree structure. Finally, the entity-relationship model views the real world as entities and relationships between entities.
Introduction to MongoDB and CRUD operationsAnand Kumar
Learn about MongoDB basics, its advantages, history.
Learn about the installation of MongoDB.
Learn Basics of create,insert,update,delete documents in MongoDB.
Learn basics of NoSQL.
This document provides an overview of relational database management systems (RDBMS). It defines RDBMS as a system that structures data into tables with rows and columns, and can relate these tables through common fields. The key aspects covered include relational algebra operations like select, project, join; structured query language (SQL) for manipulating and retrieving data; and the advantages of RDBMS like supporting a tabular data structure, multi-user access, and imposing integrity constraints.
The document compares file systems and database management systems (DBMS) for storing a company's 500GB of employee, department, product, and sales data. It notes several drawbacks of using a file system, including data redundancy, integrity issues, restricted concurrent access, and lack of flexibility. It then outlines key advantages of using a DBMS instead, such as data sharing, enforcement of security and integrity, reduction of redundancy, and support for concurrent access and crash recovery.
The document discusses data abstraction and the three schema architecture in database design. It explains that data abstraction has three levels: physical, logical, and view. The physical level describes how data is stored, the logical level describes the data and relationships, and the view level allows applications to hide data types and information. It also describes instances, which are the current stored data, and schemas, which are the overall database design. Schemas are partitioned into physical, logical, and external schemas corresponding to the levels of abstraction. The three schema architecture provides data independence and allows separate management of the logical and physical designs.
The document discusses database management systems. It defines a database as an organized collection of stored data that can be accessed electronically. A database management system (DBMS) is software that allows users and applications to capture, analyze, and interact with a database. A DBMS performs tasks like data definition, updates, retrieval, and administration. It stores data on dedicated database servers for security, reliability, and high-performance access and management of the stored data. A DBMS provides multiple logical views of the database data for different user groups and roles.
Entity Relationship Diagrams (ERDs) are conceptual data models used in software engineering to model information systems. ERDs represent entities as rectangles, attributes as ellipses, and relationships as diamonds connecting entities. Attributes can be single-valued, multi-valued, composite, or derived. Relationships have cardinality like one-to-one, one-to-many, many-to-one, or many-to-many. Participation constraints and Codd's 12 rules of relational databases are also discussed in the document.
The document discusses MySQL and SQL concepts including relational databases, database management systems, and the SQL language. It introduces common SQL statements like SELECT, INSERT, UPDATE, and DELETE and how they are used to query and manipulate data. It also covers topics like database design with tables, keys, and relationships between tables.
The document discusses the entity relationship (ER) model used for conceptual database design. It describes the key components of an ER diagram including entities represented as rectangles, attributes described as ovals, and relationships shown as diamonds. Different types of relationships are also defined such as one-to-one, one-to-many, many-to-one, and many-to-many. The ER model provides a way to design and visualize the entities, attributes, and relationships within a database in a simple diagram.
This document discusses database languages used in database management systems (DBMS). It describes three types of database languages: data definition language (DDL) used to define and modify the database schema; data manipulation language (DML) used to insert, update, delete and retrieve data; and data control language (DCL) used to control access privileges. Examples are provided for common statements in each language type like CREATE, ALTER, DROP for DDL and INSERT, UPDATE, DELETE, SELECT for DML. Case sensitivity and data types are also briefly covered.
What is data and information? What is data base? What is data base management system? What are various data base models??? Components of data base function of data base. Advantages of data base. And what is system language query???
Basic Data Management Concept
Organizing Data in a Database
Database Management Systems
Organizing Data in a Traditional File Environment
File organization Term and Concepts
Computer system organizes data in a hierarchy
Bit: Smallest unit of data; binary digit (0,1)
Byte: Group of bits that represents a single character
Field: Group of characters as word(s) or number
Record: Group of related fields
File: Group of records of same type
The document discusses the three levels of database management system (DBMS) architecture: the internal level, conceptual level, and external level. The internal level defines how data is physically stored. The conceptual level describes the overall database structure and hides internal details. The external level presents different views of the database customized for specific user groups.
Basic Concept Of Database Management System (DBMS) [Presentation Slide]Atik Israk
This document provides an overview of basic concepts in database management systems (DBMS). It defines key terms like database, DBMS, software examples, purposes of DBMS, applications, and terminology. Specifically, it outlines what a database is, the role of a DBMS in providing management and control of data access. It lists example DBMS software and how DBMS reduce data redundancy and ensure security. Applications of DBMS mentioned include libraries, banking, education and telecommunications. Terminology defined includes entity, attribute, record, key, and relationship.
Integrity constraints are rules used to maintain data quality and ensure accuracy in a relational database. The main types of integrity constraints are domain constraints, which define valid value sets for attributes; NOT NULL constraints, which enforce non-null values; UNIQUE constraints, which require unique values; and CHECK constraints, which specify value ranges. Referential integrity links data between tables through foreign keys, preventing orphaned records. Integrity constraints are enforced by the database to guard against accidental data damage.
This document provides information about different types of database languages. It discusses database definition languages (DDL) which are used to define the database structure, data manipulation languages (DML) which are used to retrieve and modify data, data control languages (DCL) which control security and access, and transaction control languages (TCL) which manage transactions. Examples of commands for each language type are provided, such as CREATE, ALTER, and DROP for DDL and SELECT, INSERT, UPDATE, and DELETE for DML.
This document defines database and DBMS, describes their advantages over file-based systems like data independence and integrity. It explains database system components and architecture including physical and logical data models. Key aspects covered are data definition language to create schemas, data manipulation language to query data, and transaction management to handle concurrent access and recovery. It also provides a brief history of database systems and discusses database users and the critical role of database administrators.
A database management system (DBMS) is software that allows for the creation, management, and use of databases. A DBMS provides users and administrators with various tools and applications to store, organize, and access data. It allows for data to be easily retrieved, filtered, sorted, and updated efficiently. Some key components of a DBMS include the database users, the data itself, software and procedures, hardware, and database access languages. DBMSs are widely used in applications such as banking, universities, e-commerce, and more.
What is RDBMS?
RDBMS stands for Relational Database Management System. RDBMS is the basis for SQL, and for all modern database systems like MS SQL Server, IBM DB2, Oracle, MySQL, and Microsoft Access.
A Relational database management system (RDBMS) is a database management system (DBMS) that is based on the relational model as introduced by E. F. Codd.
This document provides an overview of database management systems (DBMS). It defines what a DBMS is, its main components, and what it is used for. A DBMS is software that allows users to create, access, and manage a database. It discusses what data and information are, examples of databases, data models and schemas, database languages, architectures, examples of popular DBMS software, and applications of DBMS.
[Lec#4]databases and database management systems.pptxNoorNoora5
This document provides an overview of database systems and concepts. It discusses types of databases like numeric, textual, multimedia, and geographic information systems. It also defines key database terms like database, data, database management system, and database system. The document outlines typical DBMS functionality, provides an example database, and describes the components and roles involved in a database environment like hardware, software, data, procedures, and people. It also summarizes the history and generations of database systems and highlights advantages and disadvantages of using a DBMS.
The document discusses advanced database management systems (ADBMS). It provides background on how databases have become essential in modern society and outlines new applications like multimedia databases, geographic information systems, and data warehouses. The document then covers the history of database applications from early hierarchical and network systems to relational databases and object-oriented databases needed for e-commerce. It also discusses how database capabilities have been extended to support new applications involving scientific data, images, videos, data mining, spatial data, and time series data.
The document provides an introduction to database management systems (DBMS). It discusses what a database is and the key components of a DBMS, including data, information, and the database management system itself. It also summarizes common database types and characteristics, as well as the purpose and advantages of using a database system compared to traditional file processing.
This document defines and describes key concepts related to databases. It begins by defining a database as a collection of information organized for easy access, management, and updating. It then outlines the main components of a database, including hardware, software, data, data access languages, and procedures. The document also discusses different types of databases such as relational, object-oriented, distributed, and data warehouses. Finally, it defines a database management system (DBMS) as software that allows users to create, access, and manage a database and lists some advantages and disadvantages of using a DBMS.
A database is a collection of information that is organized so that it can easily be accessed, managed, and updated. In one view, databases can be classified according to types of content: bibliographic, full-text, numeric, and images.....
Open Source Database Management Software available on the NetDlis Mu
This document discusses open source database management software available online. It provides an introduction to online databases and database management systems. It then covers the history of database systems from the 1940s to current web databases. It also discusses the structure of databases and different types including bibliographic, full-text, numeric, image, audio/video, and mixed databases.
DBMS - Database Management System, Data and Database, DBMS meaning, Why DBMS?, Characteristics of DBMS, Types of DBMS- Hierarchical DBMS, Network DBMS, Relational DBMS, Object-oriented DBMS, Applications of DBMS, Popular DBMS Software, Advantages of DBMS, disadvantages of DBMS.
This document provides an overview of data management and IT infrastructure. It discusses data versus information, basic concepts of data, databases, and database management systems. It covers database models including hierarchical, network, relational, and object-oriented. It also discusses database applications, benefits of a database approach, centralized versus distributed databases, relational databases, data warehouses, and data mining. Finally, it provides an introduction to IT infrastructure and discusses the evolution of IT infrastructure from the 1950s to present.
This document provides an overview of database management systems (DBMS) and their history. It discusses how DBMS were developed to make retrieving stored data and information easier compared to previous methods. Key events included the introduction of database terminology in the 1960s, the emergence of general-purpose database systems, and Charles Bachman being awarded the ACM Turing Award in 1973 for his work developing DBMS. The document also summarizes relational database management systems (RDBMS) and structured query language (SQL).
Summary:
A database, often abbreviated as DB, is a collection of information organized in such a way that a computer program can quickly select desired pieces of data.
You can think of a traditional database as an electronic filing system, organized by fields, records, and files.
A field is a single piece of information; a record is one complete set of fields; a file is a collection of records.
A spreadsheet is a file made of rows and columns that helps organize, analyze, and calculate data. It allows users to enter numeric or text data into cells and create formulas to automatically calculate values based on other cells. Popular spreadsheet programs include Microsoft Excel, Google Sheets, and LibreOffice Calc. An active worksheet is the currently open tab in a spreadsheet file. A database is an organized collection of data stored in tables that can be easily accessed and updated. Common database types include centralized, distributed, cloud, graph, and NoSQL databases.
This document provides information about database management systems (DBMS). It defines a DBMS as a software system that stores data, processes data, and provides information in an organized way. It discusses some popular DBMS software like MS Access, Oracle, SQL Server, and MySQL. The document also explains some key concepts in DBMS like tables, records, fields, and objects. It provides examples of how a database with tables can be used to store and organize information.
A DBMS is a software package that controls the creation, organization, storage, retrieval, sharing, and security of data in a database. It allows for multi-user access and uses query languages to search, sort, and retrieve data. There are several data models including hierarchical, network, relational, multidimensional, and object models. A DBMS is used in many applications such as banking, airlines, universities, sales, manufacturing, and more. It provides advantages like representing complex relationships, controlling redundancy, and sharing data across applications but also has disadvantages such as complex design, high costs, and required training.
Overview of Data Base Systems Concepts and ArchitectureRubal Sagwal
Data
Data Hierarchy
Introduction of Database
DBMS
Characteristics of database approach
Advantages of DBMS
Data models
Schemas, Three schema architecture:
-The external level
-The conceptual level and
-The internal level.
Data Independence
Database languages and Interfaces
Roles of Database Administrator
CS3270 - DATABASE SYSTEM - Lecture (1)Dilawar Khan
This document outlines the key topics to be covered in a database course, including: understanding database concepts and the relational model, learning SQL for data manipulation and definition, database design techniques like entity-relationship modeling and normalization, and hands-on experience with Microsoft SQL Server. The course objectives are to help students understand databases and DBMS systems, apply relational concepts and SQL, and be able to design database applications. The document also provides an introduction to databases by comparing traditional file-based systems with the database approach.
The document discusses database systems and provides an overview of key concepts. It begins with a brief history of databases, from early file-based systems to modern relational databases. It then defines what a database is, the components of a database system including data, software, hardware and users. The roles of different database users are identified. Database management systems are introduced as the software that allows users to store, organize, update and protect data.
This presentation summarizes Naveen Jindal, the chairman of Jindal Steel and Power Limited. It discusses his background and education. It then provides an overview of Jindal Steel and Power Limited, including its products, revenues, mission, challenges, and future goals. These include becoming debt-free, expanding operations, and focusing on corporate social responsibility initiatives related to education, health, women's employment, and the environment. The presentation also reviews the company's services, customers, sales forecasts, competitors, and required funding.
Elon Musk is a South African-born American entrepreneur and engineer. He is the founder of SpaceX, Tesla Motors, and SolarCity. The document provides biographical details about Musk, including his education at Queen's University and the University of Pennsylvania. It discusses some of his notable business ventures like Zip2, X.com, Tesla, and SpaceX. It also mentions some early failures with these businesses and the challenges he faced launching SpaceX and producing Tesla's first vehicle. The document concludes with information about Musk's current net worth, which is mostly derived from his stakes in Tesla and SpaceX, and an overview of his philanthropic Musk Foundation.
1. The document discusses the Pension Fund Regulatory and Development Authority (PFRDA) and the National Pension System (NPS) in India. It provides details about the intermediaries involved in NPS like NPS Trust, Central Recordkeeping Agency, Pension Funds, Trustee Bank, and others.
2. The NPS is a government-sponsored pension scheme that allows subscribers to contribute during their working life and withdraw funds post-retirement. Subscribers can withdraw part of their corpus as a lump sum and use the remaining amount to purchase an annuity for a regular income.
3. The NPS has different sectors for government employees, private sector employees, and all Indian citizens.
Cultural diversity acknowledges that cultures contain broad groups that differ in language, race, ethnicity, dress, values, religion, responsibilities, and political views. Managing cultural diversity in the workplace requires recognizing that cultural groups have different values and treating diversity as an asset by providing tools, training, and programs to evaluate and monitor inclusion of diverse groups.
Robert Kiyosaki wrote Rich Dad Poor Dad with Sharon Lechter to illustrate the differences between his real father who struggled financially and his friend's father who became wealthy. The book explores how earning a high income, challenging beliefs around assets and liabilities, and teaching children financial literacy from a young age are keys to building wealth. It defines what assets and liabilities are, outlines the history of taxes and corporations, and explains how the rich invent new forms of money.
A presentation on moneybhai.com which is a part of the moneycontrol.com
Moneybhai.com is the virtual accounts which helps you to gain knowledge about the stock market. A free Trading account.
This is the Power point presentation which shows the information about the HCL Technology. This project is Drafted by a student "Krushang Thakor" . I am A Management Student .
This data is showing the overall Information about the HCL technology till the year 2018
This is the analysis manage by MBA Student about the HCL technology project.
I a student from SSR Institute of management and research, Silvassa
My name is Krushang Thakor
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
2. What is Data ?
• A collection of raw facts and figures.
• Raw material that can be processed by any computing
machine.
• Data can be represented in the form of: numbers and
words which can be stored in computer’s language.
• i.e Name Number
3. Database
• A repository of logically related and similar data. • An
organized collection of related information so that it can
easily be accessed, managed and updated.
• E.g.: Dictionary
• Airline
• Database
• Student
• Database
• Library
• Railways
• Timetable
4. What is DBMS?
A DBMS is a software used to store and manage data. The DBMS was
introduced during 1960's to store any data. It also offers manipulation of
the data like insertion, deletion, and updating of the data.
DBMS system also performs the functions like defining, creating, revising
and controlling the database. It is specially designed to create and
maintain data and enable the individual business application to extract
the desired data.
5. RDBMS
• Relational Database Management System(RDBMS) is an advance version od DBMS
system.
• It came into existence during 1970’s
• RDMBS is a software system which is used to store only data which need to be stored in
the form of tables
• Data are managed and stored in rows and columns which is known as Tuples and
Attributes.
Types of Keys:
1. Primary key – uniquely identify in a record
2. Foreign key - A field of table which is the Primary key of another table.
Are your classroom colors different than what you see in this template? That’s OK! Click on Design -> Variants (the down arrow) -> Pick the color scheme that works for you!
Feel free to change any “You will…” and “I will…” statements to ensure they align with your classroom procedures and rules!