C#

public void MethodName(ObservableCollection<DataCollection> dataCollection)
    {
        if (dataCollection != null)
        {
            IsChecked = dataCollection.Any(o => o.DataCollectionID.Equals(30));

            IsChecked = dataCollection.Where(o => o.DataCollectionID.Equals(30)).Count() > 0;
        }
    }

Can anyone explain me, what could be the most efficient way to use from above two filtering? .Any? or .Where.Count?

Note: Consider that dataCollection has over 10,000 items.

Please advice me. Thank you

private static void Main(string[] args)
{
    byte[] buffer = new byte[1 << 20]; //1MB
    Random r = new Random();

    for (int mb = 1024; mb <= 8192; mb += 1024)
    {
        using (FileStream fs = File.Create(string.Format(@"c:\temp\GB{0}.dat", mb >> 10)))
        {
            for (long index = 0; index < mb; index++)
            {
                r.NextBytes(buffer);
                fs.Write(buffer, 0, buffer.Length);
            }
        }
    }
}

private static void Main(string[] args)
{
    byte[] buffer = new byte[1 << 20]; //1MB
    Random r = new Random();

    for (int mb = 1024; mb <= 8192; mb += 1024)
    {
        Console.Write("GB{0}.dat: ", mb >> 10);
        Stopwatch sw = Stopwatch.StartNew();
        using (FileStream fs = File.Open(string.Format(@"c:\temp\GB{0}.dat", mb >> 10), FileMode.Open))
        {
            for (long index = 0; index < mb; index++)
            {
                fs.Read(buffer, 0, buffer.Length);
            }
        }
        Console.WriteLine("{0:0.00}s, {1:0.00}MB/s", sw.ElapsedMilliseconds / 1000d, mb * 1000d / sw.ElapsedMilliseconds);
    }
}

GB1.dat: 17.54s, 58.38MB/s
GB2.dat: 39.20s, 52.25MB/s
GB3.dat: 149.56s, 20.54MB/s
GB4.dat: 92.97s, 44.06MB/s
GB5.dat: 175.25s, 29.22MB/s
GB6.dat: 84.29s, 72.90MB/s
GB7.dat: 104.96s, 68.29MB/s
GB8.dat: 179.43s, 45.66MB/s