This document summarizes key concepts from Chapter 19 of the textbook "Database System Concepts, 6th Ed." including distributed databases, data storage techniques like replication and fragmentation, transaction processing, and commit protocols. Distributed databases can be homogeneous, with identical software, or heterogeneous. The two phase commit protocol is commonly used to ensure atomicity of transactions that access data across multiple database sites.
This document provides an overview of key concepts in distributed databases including distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two-phase commit, and concurrency control in distributed systems. Distributed databases allow data to be shared across multiple independent database systems where transactions may access data stored at different sites. Ensuring atomicity, consistency, isolation and durability of transactions in this environment presents unique challenges addressed by techniques like commit protocols and concurrency control algorithms.
This document provides an overview of key concepts in distributed databases, including heterogeneous and homogeneous databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols, and distributed query processing. It discusses concepts like data transparency, naming of data items, transaction system architecture, failure modes, and the two-phase commit protocol. The document is from the 5th edition of the textbook "Database System Concepts" and covers Chapter 22 on distributed databases.
This document discusses different database system architectures, including centralized, client-server, parallel, and distributed systems. Centralized systems run on a single computer, while client-server systems divide functionality between front-end clients and back-end servers. Parallel systems use multiple processors and disks to improve performance. Distributed systems share data across multiple autonomous machines connected by a network.
This chapter discusses different database system architectures including centralized, client-server, server, parallel, and distributed systems. Centralized systems run on a single computer while client-server systems separate the front-end and back-end functionality. Server systems can be transaction servers which process requests from clients or data servers which ship data to clients. Parallel systems use multiple processors and disks to improve performance. Distributed systems spread data across multiple interconnected machines.
The document discusses distributed database systems, including homogeneous and heterogeneous distributed databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two-phase commit, and handling failures in distributed systems. Key topics covered are replication allowing high availability but increasing complexity, fragmentation allowing parallelism but requiring joins, and two-phase commit coordinating atomic commits across multiple sites through a prepare and commit phase.
This document discusses key concepts regarding distributed databases from the textbook Database System Concepts 7th edition. It defines distributed databases as databases where data is spread across multiple machines connected by a network. It differentiates between homogeneous and heterogeneous distributed databases. It also describes issues like ensuring atomicity and availability in distributed databases.
The document discusses different types of database system architectures, including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on centralized systems, which run on a single computer, and client-server systems, where client systems generate requests that are satisfied by server systems. Transaction servers and data servers are described as two types of client-server systems. The document also covers parallel database systems that consist of multiple processors and disks connected by an interconnection network, and discusses concepts of speedup and scaleup in parallel systems.
The document discusses different types of database system architectures, including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on centralized systems, which run on a single computer, and client-server systems, where client systems generate requests that are satisfied by server systems. Transaction servers and data servers are described as two types of client-server systems. The document also covers parallel database systems that consist of multiple processors and disks, and factors that can limit speedup and scaleup in parallel systems.
This document provides an overview of key concepts in distributed databases including distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two-phase commit, and concurrency control in distributed systems. Distributed databases allow data to be shared across multiple independent database systems where transactions may access data stored at different sites. Ensuring atomicity, consistency, isolation and durability of transactions in this environment presents unique challenges addressed by techniques like commit protocols and concurrency control algorithms.
This document provides an overview of key concepts in distributed databases, including heterogeneous and homogeneous databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols, and distributed query processing. It discusses concepts like data transparency, naming of data items, transaction system architecture, failure modes, and the two-phase commit protocol. The document is from the 5th edition of the textbook "Database System Concepts" and covers Chapter 22 on distributed databases.
This document discusses different database system architectures, including centralized, client-server, parallel, and distributed systems. Centralized systems run on a single computer, while client-server systems divide functionality between front-end clients and back-end servers. Parallel systems use multiple processors and disks to improve performance. Distributed systems share data across multiple autonomous machines connected by a network.
This chapter discusses different database system architectures including centralized, client-server, server, parallel, and distributed systems. Centralized systems run on a single computer while client-server systems separate the front-end and back-end functionality. Server systems can be transaction servers which process requests from clients or data servers which ship data to clients. Parallel systems use multiple processors and disks to improve performance. Distributed systems spread data across multiple interconnected machines.
The document discusses distributed database systems, including homogeneous and heterogeneous distributed databases, distributed data storage using replication and fragmentation, distributed transactions, commit protocols like two-phase commit, and handling failures in distributed systems. Key topics covered are replication allowing high availability but increasing complexity, fragmentation allowing parallelism but requiring joins, and two-phase commit coordinating atomic commits across multiple sites through a prepare and commit phase.
This document discusses key concepts regarding distributed databases from the textbook Database System Concepts 7th edition. It defines distributed databases as databases where data is spread across multiple machines connected by a network. It differentiates between homogeneous and heterogeneous distributed databases. It also describes issues like ensuring atomicity and availability in distributed databases.
The document discusses different types of database system architectures, including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on centralized systems, which run on a single computer, and client-server systems, where client systems generate requests that are satisfied by server systems. Transaction servers and data servers are described as two types of client-server systems. The document also covers parallel database systems that consist of multiple processors and disks connected by an interconnection network, and discusses concepts of speedup and scaleup in parallel systems.
The document discusses different types of database system architectures, including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on centralized systems, which run on a single computer, and client-server systems, where client systems generate requests that are satisfied by server systems. Transaction servers and data servers are described as two types of client-server systems. The document also covers parallel database systems that consist of multiple processors and disks, and factors that can limit speedup and scaleup in parallel systems.
Distributed databases allow data to be stored across multiple computers or sites connected through a network. The data is logically interrelated but physically distributed. A distributed database management system (DDBMS) makes the distribution transparent to users and allows sites to operate autonomously while participating in global applications. Key aspects of DDBMS include distributed transactions, concurrency control, data fragmentation and replication, distributed query processing, and ensuring transparency of the distribution.
This document discusses different database system architectures including centralized, client-server, parallel, and distributed systems. Centralized systems run on a single computer while client-server systems divide functionality between client and server systems. Parallel systems utilize multiple processors and disks to improve performance. Distributed systems spread data across multiple machines that are connected through a network. Key aspects covered include transaction processing, data distribution, concurrency control, and atomicity in distributed systems.
This document discusses different database system architectures including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on the components and functionality of centralized, client-server, and transaction server architectures. It also describes data servers, addressing issues like page shipping versus item shipping, locking, data caching, and lock caching in data server systems. The document concludes with explanations of speedup and scaleup in parallel database systems.
This document provides an overview of key concepts in database systems, including:
1) A database management system (DBMS) allows storage and retrieval of data in an organized manner and provides tools for managing the database.
2) Database concepts include data models, schemas, instances, data definition and manipulation languages, transactions, storage management, database administrators, and users.
3) The document describes common data models like relational and entity-relationship, and components of a DBMS like the query language SQL.
This document discusses distributed databases. It begins by introducing distributed database systems and their structure. Key points include that the database is split across multiple computers that communicate over a network. It then discusses the tradeoffs of distributing a database, such as increased availability but also higher complexity. The document outlines two approaches to distributing data - replication, where copies of data are stored at different sites, and fragmentation, where relations are split into pieces stored at different sites. It provides examples to illustrate these concepts.
This document discusses database system architectures and distributed database systems. It covers transaction server systems, distributed database definitions, promises of distributed databases, complications introduced, and design issues. It also provides examples of horizontal and vertical data fragmentation and discusses parallel database architectures, components, and data partitioning techniques.
This document discusses distributed databases and distributed database management systems (DDBMS). It defines a distributed database as a logically interrelated collection of shared data physically distributed over a computer network. A DDBMS is software that manages the distributed database and makes the distribution transparent to users. The document outlines key concepts of distributed databases including data fragmentation, allocation, and replication across multiple database sites connected by a network. It also discusses reference architectures, components, design considerations, and types of transparency provided by DDBMS.
This document provides an introduction to distributed databases. It defines a distributed database as a collection of logically related databases distributed over a computer network. It describes distributed computing and how distributed databases partition data across multiple computers. The document outlines different types of distributed database systems including homogeneous and heterogeneous. It also discusses distributed data storage techniques like replication, fragmentation, and allocation. Finally, it lists several advantages and objectives of distributed databases as well as some disadvantages.
Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.
Presentation on DBMS systems for IT ProfessionalsTushar Agarwal
This document provides an overview of database systems and concepts. It introduces key topics like data models, query languages, database design, and database management system internals. The document is an excerpt from the textbook Database System Concepts, 5th Edition, which covers relational databases, SQL, storage management, query processing, and transaction management in database systems.
This document provides an overview of database system concepts, including:
- Database management systems (DBMS) are used to define, construct and manipulate databases in a convenient and efficient way.
- Databases are designed using data models and languages at the logical and physical levels, including the relational model and SQL.
- Database design involves both logical design of schemas and physical design for storage and performance.
- Database internals include storage management, query processing, and transaction management to ensure data integrity and concurrency.
- Databases have evolved from early file systems to modern systems supporting complex queries, large volumes of data, and distributed architectures.
This chapter discusses distributed database management systems (DDBMS). A DDBMS allows data and processing to be distributed across interconnected computer systems. The chapter describes different levels of data and process distribution, from centralized to fully distributed. It also covers important DDBMS topics like transaction management, concurrency control, and ensuring transparency for distributed requests and transactions.
The document describes different database system architectures including centralized systems, client-server systems, and server system architectures. Centralized systems run on a single computer while client-server systems have client systems that make requests to server systems. Server systems can be transaction servers, where clients send requests to servers to execute transactions, or data servers, where data is shipped to client systems to perform processing. The document discusses the components and processes involved in transaction server architectures.
A distributed database (DDB) is a collection of logically interrelated databases distributed over a computer network. A distributed database management system (DDBMS) manages the DDB and provides transparent access to users. There are two types of DDBMS - homogeneous and heterogeneous. Distributed databases improve availability and reliability by storing data across multiple sites but introduce greater complexity in management, security, and consistency.
A distributed database (DDB) is a collection of logically interrelated databases distributed over a computer network. A distributed database management system (DDBMS) manages the DDB and provides transparent access to users. There are two types of DDBMS - homogeneous and heterogeneous. Distributed databases improve availability and reliability by storing data across multiple sites but introduce greater complexity in management, security, and consistency.
Distributed database management systemsDhani Ahmad
This chapter discusses distributed database management systems (DDBMS). A DDBMS governs storage and processing of logically related data across interconnected computer systems. The chapter covers DDBMS components, levels of data and process distribution, transaction management, and design considerations like data fragmentation, replication, and allocation. Transparency and optimization techniques aim to make the distributed nature transparent to users.
This document summarizes key concepts from Chapter 14 of the textbook "Database System Concepts". It discusses transactions, including the ACID properties of atomicity, consistency, isolation, and durability. Transactions must execute reliably even in the presence of failures or concurrent execution. The chapter covers transaction states, schedules, serializability, and concurrency control techniques to ensure serializable execution of concurrent transactions.
This document summarizes key concepts from Chapter 14 of the textbook "Database System Concepts". It discusses transactions, including the ACID properties of atomicity, consistency, isolation, and durability. Transactions must execute reliably even in the presence of failures or concurrent execution. The chapter covers transaction states, schedules, serializability, and concurrency control techniques to ensure serializable execution of concurrent transactions.
The document provides an overview of database systems and concepts. It discusses how database management systems (DBMS) help organize and manage data in an efficient manner. A DBMS contains information about an enterprise, provides a set of programs to access the data, and creates an environment that is convenient and efficient to use. It also describes some common database applications, levels of abstraction in a database, data models, database design approaches, and the key components of a database management system like storage management, query processing, and transaction management.
Virtualization involves mapping the interface and resources of a virtual system to those of the underlying real system through abstraction. It allows for multiple logical server instances to run on a single physical machine independently through virtual machines. This improves hardware utilization and flexibility while reducing costs through more efficient provisioning and maintenance of resources.
Distributed databases allow data to be stored across multiple computers or sites connected through a network. The data is logically interrelated but physically distributed. A distributed database management system (DDBMS) makes the distribution transparent to users and allows sites to operate autonomously while participating in global applications. Key aspects of DDBMS include distributed transactions, concurrency control, data fragmentation and replication, distributed query processing, and ensuring transparency of the distribution.
This document discusses different database system architectures including centralized, client-server, parallel, and distributed systems. Centralized systems run on a single computer while client-server systems divide functionality between client and server systems. Parallel systems utilize multiple processors and disks to improve performance. Distributed systems spread data across multiple machines that are connected through a network. Key aspects covered include transaction processing, data distribution, concurrency control, and atomicity in distributed systems.
This document discusses different database system architectures including centralized systems, client-server systems, parallel systems, and distributed systems. It provides details on the components and functionality of centralized, client-server, and transaction server architectures. It also describes data servers, addressing issues like page shipping versus item shipping, locking, data caching, and lock caching in data server systems. The document concludes with explanations of speedup and scaleup in parallel database systems.
This document provides an overview of key concepts in database systems, including:
1) A database management system (DBMS) allows storage and retrieval of data in an organized manner and provides tools for managing the database.
2) Database concepts include data models, schemas, instances, data definition and manipulation languages, transactions, storage management, database administrators, and users.
3) The document describes common data models like relational and entity-relationship, and components of a DBMS like the query language SQL.
This document discusses distributed databases. It begins by introducing distributed database systems and their structure. Key points include that the database is split across multiple computers that communicate over a network. It then discusses the tradeoffs of distributing a database, such as increased availability but also higher complexity. The document outlines two approaches to distributing data - replication, where copies of data are stored at different sites, and fragmentation, where relations are split into pieces stored at different sites. It provides examples to illustrate these concepts.
This document discusses database system architectures and distributed database systems. It covers transaction server systems, distributed database definitions, promises of distributed databases, complications introduced, and design issues. It also provides examples of horizontal and vertical data fragmentation and discusses parallel database architectures, components, and data partitioning techniques.
This document discusses distributed databases and distributed database management systems (DDBMS). It defines a distributed database as a logically interrelated collection of shared data physically distributed over a computer network. A DDBMS is software that manages the distributed database and makes the distribution transparent to users. The document outlines key concepts of distributed databases including data fragmentation, allocation, and replication across multiple database sites connected by a network. It also discusses reference architectures, components, design considerations, and types of transparency provided by DDBMS.
This document provides an introduction to distributed databases. It defines a distributed database as a collection of logically related databases distributed over a computer network. It describes distributed computing and how distributed databases partition data across multiple computers. The document outlines different types of distributed database systems including homogeneous and heterogeneous. It also discusses distributed data storage techniques like replication, fragmentation, and allocation. Finally, it lists several advantages and objectives of distributed databases as well as some disadvantages.
Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.Your score increases as you pick a category, fill out a long description and add more tags.
Presentation on DBMS systems for IT ProfessionalsTushar Agarwal
This document provides an overview of database systems and concepts. It introduces key topics like data models, query languages, database design, and database management system internals. The document is an excerpt from the textbook Database System Concepts, 5th Edition, which covers relational databases, SQL, storage management, query processing, and transaction management in database systems.
This document provides an overview of database system concepts, including:
- Database management systems (DBMS) are used to define, construct and manipulate databases in a convenient and efficient way.
- Databases are designed using data models and languages at the logical and physical levels, including the relational model and SQL.
- Database design involves both logical design of schemas and physical design for storage and performance.
- Database internals include storage management, query processing, and transaction management to ensure data integrity and concurrency.
- Databases have evolved from early file systems to modern systems supporting complex queries, large volumes of data, and distributed architectures.
This chapter discusses distributed database management systems (DDBMS). A DDBMS allows data and processing to be distributed across interconnected computer systems. The chapter describes different levels of data and process distribution, from centralized to fully distributed. It also covers important DDBMS topics like transaction management, concurrency control, and ensuring transparency for distributed requests and transactions.
The document describes different database system architectures including centralized systems, client-server systems, and server system architectures. Centralized systems run on a single computer while client-server systems have client systems that make requests to server systems. Server systems can be transaction servers, where clients send requests to servers to execute transactions, or data servers, where data is shipped to client systems to perform processing. The document discusses the components and processes involved in transaction server architectures.
A distributed database (DDB) is a collection of logically interrelated databases distributed over a computer network. A distributed database management system (DDBMS) manages the DDB and provides transparent access to users. There are two types of DDBMS - homogeneous and heterogeneous. Distributed databases improve availability and reliability by storing data across multiple sites but introduce greater complexity in management, security, and consistency.
A distributed database (DDB) is a collection of logically interrelated databases distributed over a computer network. A distributed database management system (DDBMS) manages the DDB and provides transparent access to users. There are two types of DDBMS - homogeneous and heterogeneous. Distributed databases improve availability and reliability by storing data across multiple sites but introduce greater complexity in management, security, and consistency.
Distributed database management systemsDhani Ahmad
This chapter discusses distributed database management systems (DDBMS). A DDBMS governs storage and processing of logically related data across interconnected computer systems. The chapter covers DDBMS components, levels of data and process distribution, transaction management, and design considerations like data fragmentation, replication, and allocation. Transparency and optimization techniques aim to make the distributed nature transparent to users.
This document summarizes key concepts from Chapter 14 of the textbook "Database System Concepts". It discusses transactions, including the ACID properties of atomicity, consistency, isolation, and durability. Transactions must execute reliably even in the presence of failures or concurrent execution. The chapter covers transaction states, schedules, serializability, and concurrency control techniques to ensure serializable execution of concurrent transactions.
This document summarizes key concepts from Chapter 14 of the textbook "Database System Concepts". It discusses transactions, including the ACID properties of atomicity, consistency, isolation, and durability. Transactions must execute reliably even in the presence of failures or concurrent execution. The chapter covers transaction states, schedules, serializability, and concurrency control techniques to ensure serializable execution of concurrent transactions.
The document provides an overview of database systems and concepts. It discusses how database management systems (DBMS) help organize and manage data in an efficient manner. A DBMS contains information about an enterprise, provides a set of programs to access the data, and creates an environment that is convenient and efficient to use. It also describes some common database applications, levels of abstraction in a database, data models, database design approaches, and the key components of a database management system like storage management, query processing, and transaction management.
Virtualization involves mapping the interface and resources of a virtual system to those of the underlying real system through abstraction. It allows for multiple logical server instances to run on a single physical machine independently through virtual machines. This improves hardware utilization and flexibility while reducing costs through more efficient provisioning and maintenance of resources.
How to Make a Field Mandatory in Odoo 17Celine George
In Odoo, making a field required can be done through both Python code and XML views. When you set the required attribute to True in Python code, it makes the field required across all views where it's used. Conversely, when you set the required attribute in XML views, it makes the field required only in the context of that particular view.
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.