Nati Shalom’s Blog: Why most large-scale Web sites are not written in Java
…similar solutions for addressing the scalability challenges:
On the Data Tier we see the following:
1. Adding a caching layer to take advantage of memory resources availability and reduce I/O overhead
2. Moving from a database-centric approach to partitioning, aka shards
On the Business Logic Tier:
3. Adding parallelization semantics to the application tier (e.g., MapReduce)
4. Moving to scale-out application models to achieve linear scalability
5. Moving away from the classic two-phase commit and …

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Did it with .NET – A Higher Calling (revisited)
… already have equivalents in the .NET Framework 3.5.
1. Filter = Where
2. Map = Select
3. Reduce = Aggregate
Each of these are implemented as extension methods for IEnumerable. So, we can rewrite the code like this:

static void Main()
{

var numbers = new int[] { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 };
var sum = numbers.Where(x => (x % 2) == 0).Select(x => x * x).Aggregate(0, (x, …

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