Adventures in Tech

Documentaries about food and health are almost always controversial, especially if they include a view on dieting and weight loss. They end up espousing a myopic view of how to lose weight and be healthy, and lose the viewer who is a long time skeptic after seeing a lot of fad diets come and go. The documentary "Hungry for Change" was a pleasant change. It focused on giving out balanced information on how the US as a nation has a high percentage of obese individuals, despite all the health awareness, and diets in circulations. The premise of the documentary is that we have strayed from eating the foods our bodies evolved with through million of years to consuming highly processed foods, and if we change that by eating less processed foods, we'd have a better health. The documentary starts with some eye-opening highlights: Supermarket foods are engineered to have a long shelf life, to be appealing and addictive, and be not fulfilling so that we buy more The proto...

For people interested in developing Hadoop analytic applications there is a plethora of options. The options range from writing low-level, hand-tuned Java map-reduce code, to using a higher level language to manipulate the data such as Pig and Hive. There are pros and cons for each option. For the first, the code becomes complex for anything other than the canonical word-count example, and for the latter, to do anything meaningful, you almost always end up augmenting the higher level language with user-defined functions written in a different language to regain power and flexibility, causing maintenance nightmares. A happy medium in between is to use one of the data-flow libraries for Hadoop, of which Cascading is one. Since Cascading has been around for some time, the online documentation is relatively mature, and includes a gentle introduction to the library, with example source code, and a well written user's guide. However this does not obviate the need for a book that desc...