Image the situation where you have an enterprise system where you can edit customer records. Then think what if two people are are editing the same record. Both make some changes, but when they save which change will prevail? What if one saves over the other data? These are concurrency issues.
These are the one of the most complicated but still important issues in enterprise programming. Yet they are usually ignored by programmers. How do we make sure data is not lost when two or more users are working on the same data?
In this lecture we look at concurrency, transactions, execution contexts, the ACID database properties and try to apply them to enterprise programming where transaction usually span multiple requests, so called business transactions.
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