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the brave new economy

A free(er) market is emerging and has been emerging ever since the advent of the Internet and the Web. Newer technologies have accelerated this. Old inefficiencies in knowledge and access to the market are quickly disappearing. Participation is increasingly peer-to-peer (P2P). Participants can produce, create, curate, give, lend, sell, share, auction, consume, take, borrow, buy, reuse, rent and/or barter goods, services, cash, credit, currency, equity, debt and/or knowledge. The resultant economy is highly collaborative and is sometimes referred to as the ‘ sharing economy ’. Efficiencies are being introduced and value is being created in the smallest of markets. Non-profit activities are thriving as well, in addition to for-profit ones. The marketplace is becoming, at once, global and local. An important subset of the new economy is collaborative and crowdsourced , and may be described as commons-based peer production . Asymmetries in information are diminished by algorithms (Google

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.

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).