Download Anti-Intellectualism in American Life by Richard Hofstadter PDF

By Richard Hofstadter

Anti-Intellectualism in American existence was offered the 1964 Pulitzer Prize in Non-Fiction. it's a ebook which throws mild on many positive factors of the yankee personality. Its predicament isn't in basic terms to painting the scorners of mind in American existence, yet to assert anything approximately what the highbrow is, and will be, as a strength in a democratic society.

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Hadoop and work queues make this possible. In addition to mapping well to technologies like Hadoop, which enables us to easily scale our processing, imperative languages put the focus of our tools where most of the work in building analytics applications is: in one or two hard-won, key steps where we do clever things that deliver most of the value of our application. Compared to writing SQL queries, arriving at these clever operations is a lengthy and often exhaustive process, as we employ techniques from statistics, machine learning, and social network analysis.

Derived data that lives in the basement of your product is unlikely to shape up. It is better to create entity pages to bring entities up to a NoSQL | 25 “consumer-grade” form, to incrementally improve these entities, and to progressively combine them than to try to expose myriad derived data in a grand vision from the getgo. While mining data into well-structured information, using that information to expose new facts and make predictions that enable actions offers enormous potential for value creation.

It is well and good to define a schema up front, but in practice, much pro‐ cessing will be required to extract all the entities in that schema. So our initial schema might look very simple, like this: { "type":"record", "name":"RawEmail", "fields": [ { "name":"thread_id", "type":["string", "null"], "doc":"" }, { "name":"raw_email", "type": ["string", "null"] } ] } We might extract only a thread_id as a unique identifier, and then store the entire raw email string in a field on its own. If a unique identifier is not easy to extract from raw records, we can generate a UUID (universally unique identifier) and add it as a field.

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