This document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts" by Silberschatz, Korth and Sudarshan. It discusses the relational model, including the structure of relational databases, relational algebra operations, keys such as primary and foreign keys, and query languages. Example relations are provided to illustrate concepts like the select, project, union and cartesian product operations in relational algebra.
This document provides an overview of relational database concepts including:
- Relations are represented as tables with rows (tuples) and columns (attributes)
- Relations have a schema and can be queried using relational algebra which includes operations like select, project, join, and more
- Databases consist of multiple relations that store different parts of the information about an enterprise to avoid data repetition and null values
The document describes the relational model used in database systems. It defines key concepts like relations, relation schemas, tuples, attributes, domains, keys, and foreign keys. It also explains the basic relational algebra operations like select, project, join, union, difference etc. and provides examples of how to write queries using these operations on sample relations like customer, account, loan etc. to retrieve required information from the database.
This document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts" by Silberschatz, Korth and Sudarshan. It introduces the relational model, including the structure of relational databases, relational algebra operations, null values, and modification of databases. Key concepts covered include relations, tuples, relation schemas, keys, and the basic relational algebra operations of select, project, join, union, difference and rename. An example of a banking database with relations for branches, customers, accounts and loans is also provided.
This document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts" by Silberschatz, Korth and Sudarshan. It discusses the relational model, including the structure of relational databases, relational algebra operations, keys, relations and relation schemas. Examples are provided to illustrate relational algebra operations like select, project, join and set operations. The chapter also introduces an example banking database to demonstrate sample queries using relational algebra.
The document discusses key concepts of relational databases and relational algebra. It defines what a relation is as a set of tuples with attributes, and covers attribute types, keys, relations schemas and instances. It also summarizes the core relational algebra operations of selection, projection, join, union, difference and Cartesian product and how they are used to manipulate and query relations.
This document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts". It discusses the relational model, including the structure of relational databases, fundamental relational algebra operations, additional operations like aggregation, and how to represent data using relations, attributes, tuples, schemas and keys. Examples of relational queries on banking data are provided to illustrate relational operations like selection, projection, join and aggregation.
relational algebra and calculus queries .pptShahidSultan24
This document provides an overview of key concepts in the relational model of databases, including:
- Relations are represented as tables with rows (tuples) and columns (attributes). The order of tuples and attributes is not important.
- A relational database contains multiple relations that each store a part of the overall database information. Keys are used to identify unique tuples.
- Relational algebra defines operations like select, project, join, and set operations that can be used to query and manipulate relations. Operations take relations as input and produce new relations as output.
The document discusses the relational model for databases including:
1) The structure of relational databases including relations, tuples, attributes, domains, relation schemas, and relation instances.
2) Relational algebra which is a procedural query language using operators like select, project, join, and set operations.
3) Additional concepts like keys, normalization, and an example banking schema to demonstrate relational queries.
This document provides an overview of relational database concepts including:
- Relations are represented as tables with rows (tuples) and columns (attributes)
- Relations have a schema and can be queried using relational algebra which includes operations like select, project, join, and more
- Databases consist of multiple relations that store different parts of the information about an enterprise to avoid data repetition and null values
The document describes the relational model used in database systems. It defines key concepts like relations, relation schemas, tuples, attributes, domains, keys, and foreign keys. It also explains the basic relational algebra operations like select, project, join, union, difference etc. and provides examples of how to write queries using these operations on sample relations like customer, account, loan etc. to retrieve required information from the database.
This document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts" by Silberschatz, Korth and Sudarshan. It introduces the relational model, including the structure of relational databases, relational algebra operations, null values, and modification of databases. Key concepts covered include relations, tuples, relation schemas, keys, and the basic relational algebra operations of select, project, join, union, difference and rename. An example of a banking database with relations for branches, customers, accounts and loans is also provided.
This document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts" by Silberschatz, Korth and Sudarshan. It discusses the relational model, including the structure of relational databases, relational algebra operations, keys, relations and relation schemas. Examples are provided to illustrate relational algebra operations like select, project, join and set operations. The chapter also introduces an example banking database to demonstrate sample queries using relational algebra.
The document discusses key concepts of relational databases and relational algebra. It defines what a relation is as a set of tuples with attributes, and covers attribute types, keys, relations schemas and instances. It also summarizes the core relational algebra operations of selection, projection, join, union, difference and Cartesian product and how they are used to manipulate and query relations.
This document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts". It discusses the relational model, including the structure of relational databases, fundamental relational algebra operations, additional operations like aggregation, and how to represent data using relations, attributes, tuples, schemas and keys. Examples of relational queries on banking data are provided to illustrate relational operations like selection, projection, join and aggregation.
relational algebra and calculus queries .pptShahidSultan24
This document provides an overview of key concepts in the relational model of databases, including:
- Relations are represented as tables with rows (tuples) and columns (attributes). The order of tuples and attributes is not important.
- A relational database contains multiple relations that each store a part of the overall database information. Keys are used to identify unique tuples.
- Relational algebra defines operations like select, project, join, and set operations that can be used to query and manipulate relations. Operations take relations as input and produce new relations as output.
The document discusses the relational model for databases including:
1) The structure of relational databases including relations, tuples, attributes, domains, relation schemas, and relation instances.
2) Relational algebra which is a procedural query language using operators like select, project, join, and set operations.
3) Additional concepts like keys, normalization, and an example banking schema to demonstrate relational queries.
The document discusses the relational model for databases including:
1) The structure of relational databases including relations, tuples, attributes, domains, relation schemas, and relation instances.
2) Relational algebra which is a procedural query language using operators like select, project, join, and set operations.
3) Additional concepts like keys, normalization, and an example banking schema to demonstrate relational queries.
The document discusses key concepts of the relational database model from Chapter 2 of the textbook "Database System Concepts, 6th Edition". It describes the structure of relations, which are tables made up of rows and columns. It defines entity types like attributes and tuples, and explains primary keys, foreign keys, and relationship types like one-to-one and one-to-many. It also introduces the algebraic operations of the relational algebra, which provides a declarative query language for relational databases including selection, projection, join, union and set differences.
The document provides an overview of the relational model used in database management systems. It defines key concepts like relations, attributes, tuples, domains, schemas, keys, and foreign keys. It also describes common relational algebra operations like select, project, join, union, and set differences. Examples are provided to illustrate how these operations work on relations. Additional topics covered include query languages, normalization, and modeling a banking example database using these concepts.
The document summarizes key concepts of the relational model used in database management systems. It describes how data is organized into relations consisting of tuples with attributes, and how relations have a schema definition. It also covers topics like keys that uniquely identify tuples, foreign keys that link relations, and basic relational algebra operations like select, project, and union that can be performed on relations.
The document summarizes key concepts of the relational model used in database management systems. It describes how data is organized into relations consisting of tuples with attributes, and how relations have a schema definition. It also covers topics like keys that uniquely identify tuples, foreign keys that link relations, and basic relational algebra operations like select, project, and union that can be performed on relations.
Relational Algebra and relational queries .pptShahidSultan24
This document describes chapter 6 of the textbook "Database System Concepts, 6th Ed." which covers formal relational query languages. It introduces relational algebra as a procedural query language with basic operators like select, project, union, set difference, cartesian product, and rename. It also covers tuple and domain relational calculus. Examples of relational algebra queries are provided to find the largest salary or names of instructors and courses taught. Additional relational algebra concepts like composition of operations, set intersection, natural join, assignment, and outer join are also summarized.
This document summarizes the contents of Chapter 3 from the textbook "Database System Concepts, 5th Ed." by Silberschatz, Korth and Sudarshan. The chapter covers the basics of the SQL language, including data definition, query structure, set operations, aggregate functions, null values, views and modification of databases. Key SQL concepts are explained such as creating tables, inserting and deleting tuples, integrity constraints, joins, and aggregation. Examples are provided to illustrate SQL statements and relational algebra translations.
This document provides an overview of Chapter 3 of the textbook "Database System Concepts". It discusses the following topics in SQL:
1. Data definition language allows specification of schemas, integrity constraints, and authorization information for relations.
2. Basic queries in SQL involve SELECT, FROM, and WHERE clauses that correspond to projection, Cartesian product, and selection in relational algebra.
3. SQL supports data types, integrity constraints, insertion and deletion of tuples, and modification of tables through DROP, ALTER, and CREATE statements.
4. Advanced query features include aggregation, null values, subqueries, joins, views and modification of the database.
This document discusses relational database design and functional dependencies. It covers topics like normal forms, decomposition using functional dependencies, closure of functional dependencies, and different types of functional dependencies like trivial, non-trivial, transitive, and multivalued dependencies. Examples are provided to illustrate concepts like lossy decomposition and closure of a set of functional dependencies.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 7th Ed." by Silberschatz, Korth and Sudarshan. It covers the history and components of SQL, data definition and manipulation languages, basic query structure, predicates, null values, and set operations in SQL. Key topics include the CREATE TABLE statement, data types, integrity constraints, SELECT statements, joins, ordering results, and aggregate functions.
The document summarizes key aspects of relational database design including:
1) Features of good relational design such as atomic domains and normal forms.
2) The use of functional dependencies to test relations, specify constraints, and imply new dependencies.
3) Boyce-Codd normal form which determines if a relation is properly normalized based on its functional dependencies.
This document summarizes key concepts relating to the relational model in database systems, including:
- The structure of relational databases and examples of relations and tuples.
- Relational algebra as a procedural query language consisting of operations like selection, projection, join, union and set differences.
- Nonprocedural query languages like tuple and domain relational calculus.
- Examples of relational algebra operations like selection, projection, join, union and set differences applied to relations.
This document provides an overview of data modeling and SQL. It introduces key concepts in relational databases including relations, schemas, tuples, domains, keys, and referential integrity. It also describes the relational data model including the structure of relations, attributes, and relation instances. Finally, it covers the relational algebra including operations like select, project, join, union, difference, and rename that form the basis for SQL queries. The document uses examples from a banking domain to illustrate these concepts.
The document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts". It introduces the relational model and relational algebra. The relational model uses relations (tables) to store data and relational algebra contains operations like select, project, join etc. to manipulate these relations. Some key points covered are the structure of relational databases, database schema, keys, relational query languages like SQL, and the core operators of relational algebra.
The document discusses query optimization in database systems. It covers topics like:
- Estimating the cost of different query evaluation plans using statistical information about relations.
- Transforming relational expressions using equivalence rules to generate logically equivalent expressions with different evaluation orders.
- Choosing the lowest cost plan based on cost estimates to optimize query evaluation.
The document provides an overview of relational algebra and database concepts including:
- The basic structure of relations and relation schemas using an example of customer data.
- Key concepts like primary keys, foreign keys, and relationships between relations.
- The six basic relational algebra operations - select, project, union, set difference, cartesian product, and rename. Examples are given for each.
- Additional relational algebra operations like set intersection, natural join, division, and assignment are described along with banking examples.
- The document concludes with a mention of extended relational algebra operations like generalized projection, aggregate functions, and outer join.
relational model in Database Management.ppt.pptRoshni814224
This document provides an overview of the relational model used in database management systems. It discusses key concepts such as:
- Relations, which are sets of tuples that represent entities and relationships between entities.
- Relation schemas that define the structure of relations, including the attributes and their domains.
- Keys such as candidate keys and foreign keys that uniquely identify tuples and define relationships between relations.
- Relational algebra, which consists of operators like select, project, join, and set operations to manipulate and query relations.
- An example banking schema is presented to demonstrate these concepts.
The document provides an overview of the relational model and relational algebra used in relational databases. It defines key concepts like relations, tuples, attributes, domains, schemas, instances, keys, and normal forms. It also explains the six basic relational algebra operations - select, project, union, difference, cartesian product, and rename - and how they can be composed to form complex queries. Examples of relations and queries involving operations like selection, projection, joins are provided to illustrate relational algebra.
The document provides an overview of the relational model and relational algebra used in relational databases. It defines key concepts like relations, tuples, attributes, domains, schemas, instances, keys, and normal forms. It also explains the six basic relational algebra operations - select, project, union, difference, cartesian product, and rename - and how they can be composed to form complex queries. Examples of relations and queries involving operations like selection, projection, joins are provided to illustrate relational algebra.
The document discusses relational database design and normalization. It covers topics such as first normal form, functional dependencies, and decomposition. First normal form requires that attribute domains be atomic. Functional dependencies specify relationships between attribute sets. The closure of a set of functional dependencies includes all dependencies logically implied by the set. Decomposition involves breaking a relation into multiple relations to eliminate redundancy and anomalies while ensuring lossless join.
The document discusses the relational model for databases including:
1) The structure of relational databases including relations, tuples, attributes, domains, relation schemas, and relation instances.
2) Relational algebra which is a procedural query language using operators like select, project, join, and set operations.
3) Additional concepts like keys, normalization, and an example banking schema to demonstrate relational queries.
The document discusses key concepts of the relational database model from Chapter 2 of the textbook "Database System Concepts, 6th Edition". It describes the structure of relations, which are tables made up of rows and columns. It defines entity types like attributes and tuples, and explains primary keys, foreign keys, and relationship types like one-to-one and one-to-many. It also introduces the algebraic operations of the relational algebra, which provides a declarative query language for relational databases including selection, projection, join, union and set differences.
The document provides an overview of the relational model used in database management systems. It defines key concepts like relations, attributes, tuples, domains, schemas, keys, and foreign keys. It also describes common relational algebra operations like select, project, join, union, and set differences. Examples are provided to illustrate how these operations work on relations. Additional topics covered include query languages, normalization, and modeling a banking example database using these concepts.
The document summarizes key concepts of the relational model used in database management systems. It describes how data is organized into relations consisting of tuples with attributes, and how relations have a schema definition. It also covers topics like keys that uniquely identify tuples, foreign keys that link relations, and basic relational algebra operations like select, project, and union that can be performed on relations.
The document summarizes key concepts of the relational model used in database management systems. It describes how data is organized into relations consisting of tuples with attributes, and how relations have a schema definition. It also covers topics like keys that uniquely identify tuples, foreign keys that link relations, and basic relational algebra operations like select, project, and union that can be performed on relations.
Relational Algebra and relational queries .pptShahidSultan24
This document describes chapter 6 of the textbook "Database System Concepts, 6th Ed." which covers formal relational query languages. It introduces relational algebra as a procedural query language with basic operators like select, project, union, set difference, cartesian product, and rename. It also covers tuple and domain relational calculus. Examples of relational algebra queries are provided to find the largest salary or names of instructors and courses taught. Additional relational algebra concepts like composition of operations, set intersection, natural join, assignment, and outer join are also summarized.
This document summarizes the contents of Chapter 3 from the textbook "Database System Concepts, 5th Ed." by Silberschatz, Korth and Sudarshan. The chapter covers the basics of the SQL language, including data definition, query structure, set operations, aggregate functions, null values, views and modification of databases. Key SQL concepts are explained such as creating tables, inserting and deleting tuples, integrity constraints, joins, and aggregation. Examples are provided to illustrate SQL statements and relational algebra translations.
This document provides an overview of Chapter 3 of the textbook "Database System Concepts". It discusses the following topics in SQL:
1. Data definition language allows specification of schemas, integrity constraints, and authorization information for relations.
2. Basic queries in SQL involve SELECT, FROM, and WHERE clauses that correspond to projection, Cartesian product, and selection in relational algebra.
3. SQL supports data types, integrity constraints, insertion and deletion of tuples, and modification of tables through DROP, ALTER, and CREATE statements.
4. Advanced query features include aggregation, null values, subqueries, joins, views and modification of the database.
This document discusses relational database design and functional dependencies. It covers topics like normal forms, decomposition using functional dependencies, closure of functional dependencies, and different types of functional dependencies like trivial, non-trivial, transitive, and multivalued dependencies. Examples are provided to illustrate concepts like lossy decomposition and closure of a set of functional dependencies.
This document provides an overview of Chapter 3 from the textbook "Database System Concepts, 7th Ed." by Silberschatz, Korth and Sudarshan. It covers the history and components of SQL, data definition and manipulation languages, basic query structure, predicates, null values, and set operations in SQL. Key topics include the CREATE TABLE statement, data types, integrity constraints, SELECT statements, joins, ordering results, and aggregate functions.
The document summarizes key aspects of relational database design including:
1) Features of good relational design such as atomic domains and normal forms.
2) The use of functional dependencies to test relations, specify constraints, and imply new dependencies.
3) Boyce-Codd normal form which determines if a relation is properly normalized based on its functional dependencies.
This document summarizes key concepts relating to the relational model in database systems, including:
- The structure of relational databases and examples of relations and tuples.
- Relational algebra as a procedural query language consisting of operations like selection, projection, join, union and set differences.
- Nonprocedural query languages like tuple and domain relational calculus.
- Examples of relational algebra operations like selection, projection, join, union and set differences applied to relations.
This document provides an overview of data modeling and SQL. It introduces key concepts in relational databases including relations, schemas, tuples, domains, keys, and referential integrity. It also describes the relational data model including the structure of relations, attributes, and relation instances. Finally, it covers the relational algebra including operations like select, project, join, union, difference, and rename that form the basis for SQL queries. The document uses examples from a banking domain to illustrate these concepts.
The document summarizes key concepts from Chapter 2 of the textbook "Database System Concepts". It introduces the relational model and relational algebra. The relational model uses relations (tables) to store data and relational algebra contains operations like select, project, join etc. to manipulate these relations. Some key points covered are the structure of relational databases, database schema, keys, relational query languages like SQL, and the core operators of relational algebra.
The document discusses query optimization in database systems. It covers topics like:
- Estimating the cost of different query evaluation plans using statistical information about relations.
- Transforming relational expressions using equivalence rules to generate logically equivalent expressions with different evaluation orders.
- Choosing the lowest cost plan based on cost estimates to optimize query evaluation.
The document provides an overview of relational algebra and database concepts including:
- The basic structure of relations and relation schemas using an example of customer data.
- Key concepts like primary keys, foreign keys, and relationships between relations.
- The six basic relational algebra operations - select, project, union, set difference, cartesian product, and rename. Examples are given for each.
- Additional relational algebra operations like set intersection, natural join, division, and assignment are described along with banking examples.
- The document concludes with a mention of extended relational algebra operations like generalized projection, aggregate functions, and outer join.
relational model in Database Management.ppt.pptRoshni814224
This document provides an overview of the relational model used in database management systems. It discusses key concepts such as:
- Relations, which are sets of tuples that represent entities and relationships between entities.
- Relation schemas that define the structure of relations, including the attributes and their domains.
- Keys such as candidate keys and foreign keys that uniquely identify tuples and define relationships between relations.
- Relational algebra, which consists of operators like select, project, join, and set operations to manipulate and query relations.
- An example banking schema is presented to demonstrate these concepts.
The document provides an overview of the relational model and relational algebra used in relational databases. It defines key concepts like relations, tuples, attributes, domains, schemas, instances, keys, and normal forms. It also explains the six basic relational algebra operations - select, project, union, difference, cartesian product, and rename - and how they can be composed to form complex queries. Examples of relations and queries involving operations like selection, projection, joins are provided to illustrate relational algebra.
The document provides an overview of the relational model and relational algebra used in relational databases. It defines key concepts like relations, tuples, attributes, domains, schemas, instances, keys, and normal forms. It also explains the six basic relational algebra operations - select, project, union, difference, cartesian product, and rename - and how they can be composed to form complex queries. Examples of relations and queries involving operations like selection, projection, joins are provided to illustrate relational algebra.
The document discusses relational database design and normalization. It covers topics such as first normal form, functional dependencies, and decomposition. First normal form requires that attribute domains be atomic. Functional dependencies specify relationships between attribute sets. The closure of a set of functional dependencies includes all dependencies logically implied by the set. Decomposition involves breaking a relation into multiple relations to eliminate redundancy and anomalies while ensuring lossless join.
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How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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.
The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
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Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"