LINQ is a natural fit for parsing web log files. Chetan Jagatkishore Kothari and Shalini Nautiyal provide an overview of analyzing a log file using LINQ based Log Parser.
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Parallel LINQ (PLINQ) has been introduced in .NET Framework 4.0, as part of the parallel programming features. In most scenarios Parallel LINQ is supposed to increase performance but in some cases a sequential operation would be a better option. Read on to learn more...
In making parallel computing more accessible, Microsoft has also made asynchronous execution more accessible. Nowhere is this fact more apparent than in technologies built from the ground up on these new asynchronous capabilities. Take, for example, Reactive Extensions (Rx); a set of libraries built on LINQ and the Task Parallel Library (TPL).
LINQ - Language Integrated Query is one of the most exciting and powerful extensions added by Microsoft to the .NET framework. This article talks about a few ways that can help you improve your classical C# programming using LINQ, whose success relies on the easy way it allows developers to use SQL like syntax to query all kinds of data.
Make use of the Repository Pattern to break the dependencies between your application's domain model and data access code.
Learn the practice of using projections in your LINQ statements to ensure you are not over retrieving data values from your Entity Framework model.
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The Transactional File System (TxF), which allows access to an NTFS file system to be conducted in a transacted manner through extensions to the Windows SDK API. MFC 10, has been extended to support TxF and related technologies. This support allows existing MFC applications to be easily extended to support kernel transactions.
String.format is not just a relic from a bygone era, but is actually still very useful even in today's brave new world. It’s time to dig into some data formatting!
Hannes du Preez explains what delegates are and how to use them to call managed and unmanaged code in VB.NET.
This article introduces you to Big Data, Apache Hadoop and MapReduce jobs. We will also learn how to create MapReduce jobs using C#.