- Because of the vast number of methods Linq provides,…there are a multitude of strong use cases for it.…Perhaps the best reason to use Linq,…is to provide an easy way to perform…complex queries with different data sources.…Imagine a company that uses an SQL data base…to keep track of their products,…sales, customers and distributors.…They want to easily be able to create XML-based…daily reports based on this data.…They also receive monthly XML-based sales reports…from their distributors.…
Creating a program to help with that,…would require the ability to query…from different sources: SQL and XML,…which would require learning the unique syntax…to create the data.…As well, the company also receives reports…from their suppliers in a non-XML format.…The data can be imported into a program…but they need to create their own functions…to query this data.…With a large variety of materials and products,…from different suppliers and different ways to combine them,…the queries can become complex…and creating custom code can become difficult.…
Author
Released
11/30/2015In LINQ with C# Essential Training, engineer Olivia Chiu introduces techniques for querying, updating, and transforming data with LINQ. She covers standard queries—such as finding overlaps in two datasets and creating hierarchies—as well as complex chained queries. She also shows how to group and join LINQ queries with lambda expressions, and use LINQ to query SQL databases and XML documents. Last but not least, Olivia provides tips for optimizing the performance of your queries.
- Creating and executing a LINQ query
- Returning results
- Changing the data source type
- Performing standard queries
- Working with lambda expressions
- Chaining and complex queries
- Querying SQL and XML
- Performing tree queries
- Using sequences, elements, and scalars
- Allocating memory
Skill Level Intermediate
Duration
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Introduction
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Welcome51s
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Use the exercise files1m 6s
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1. Introduction to LINQ
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Common use cases1m 45s
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2. Basic LINQ Queries
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Select a data source3m 6s
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Create a query1m 33s
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Execute a query1m 56s
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3. Data Transformation
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Return results as a new type1m 39s
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4. Type Relationships
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5. Standard Queries
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Parse basic groups4m 30s
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Create hierachy in a dataset3m 50s
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6. Lambda Expressions
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Lambda expressions3m 25s
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Index and distinct operators2m 22s
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Take and skip operators2m 47s
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7. Complex Queries
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Chaining2m 9s
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Use the into keyword3m 45s
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Use the let keyword3m 4s
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8. LINQ to SQL
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Database setup3m 58s
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Database query1m 48s
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Database updates2m 56s
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9. LINQ to XML
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Tree creation4m 10s
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Tree queries1m 43s
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10. Other Operators
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11. Performance
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Memory allocation1m 54s
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Best practices1m 40s
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Conclusion
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Next steps44s
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Video: Common use cases