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the World Cup draw -- an alternative proposal

The FIFA World Cup seeding and draw system has consistently produced groups of death and groups comprised mainly of teams that fail to invoke passion or imagination from fans around the world, except perhaps for such teams' own fans. The latest edition is no exception -- and may even be the worst ever on this measure. An outline of the draw system can be seen here . We have one group which contains Switzerland, Ecuador and Honduras and another consisting of Russia, Algeria and South Korea!! And, on top of this, we have at least three, if not four or more, groups of death. Depending on one's perspective, esp. given the recent rise of African powerhouses, all of the rest of the groups may even be considered Groups of Death!! This is a disservice to football fans around the world, not to mention the skilled and enterprising teams that worked hard to get here. To address this, I propose a simplified draw system : Randomize Pot 1 and assign to Groups Assign remaining Pots t...
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Migrating from MS SQL Server to MongoDB

The following contains notes from various attempts at migrating 2.5GB of MS SQL Server data to MongoDB, on an 8 GB, quad-core, 64-bit Windows 7 Enterprise machine. [TERMINATED]  http://mssql2mongo.codeplex.com/ : Simple to use. Exponential slowdown observed in migration. For a total of the 50 million records spanning two tables, the following migration times were observed: 1 second for the first 100,000 records,  30 minutes for 1,000,000, 20 hours for 16 million (after which I terminated the process). [DID NOT WORK] http://rubydoc.info/gems/mongify/ : A ruby-based approach. Use Ruby 1.9.3 (tiny_tds dependency causes problems with Ruby 2.0). Install DevKit before installing the mongify gem. Also, use ' sqlserver ' as the adapter in the .config file. Then, before running ' mongify check <config-file> ', install the gems  activerecord-sqlserver-adapter  and tiny_tds . At this stage, it fails. ' mongify translation <config-file> ' fails as well. ...
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Technology companies ranked by revenue per capita

As of April 19, 2016, we have the following ranking of some prominent technology companies, in order of revenue per employee: Company Revenue Per Employee Apple $2M Netflix $1.9M Facebook $1.37M Alphabet $1.2M Microsoft $0.79M Qualcomm $0.76M Cisco $0.68M PayPal $0.58M Intel $0.51M Juniper Networks $0.48M NetApp $0.48M EMC $0.48M Yahoo $0.47M Amazon $0.46M Adobe $0.38M Salesforce $0.35M VMWare $0.33M LinkedIn $0.32M Citrix $0.31M SAP $0.31M Oracle $0.28M eBay $0.24M IBM $0.21M It is interesting to note that these numbers are far exceeded by pharmaceuticals (e.g. Gilead, $3.2 M) and simply dwarfed by energy companies (e.g. Valero, $13 M and Philips $10 M).
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