Big data now: Current perspectives from O'Reilly Radar by O'Reilly Radar Team

By O'Reilly Radar Team

This assortment represents the complete spectrum of data-related content material we’ve released on O’Reilly Radar during the last yr. Mike Loukides kicked issues off in June 2010 with “What is info science?” and from there we’ve pursued many of the threads and subject matters that obviously emerged. Now, approximately a yr later, we will glance again over all we’ve lined and determine a few middle facts areas:
Data matters — The possibilities and ambiguities of the information house are glaring in discussions round privateness, the results of data-centric industries, and the talk concerning the word “data technology” itself.
The software of knowledge: items and tactics — A “data product” can emerge from nearly any area, together with every thing from information startups to tested agencies to media/journalism to schooling and research.
Data technological know-how and information instruments — The instruments and applied sciences that force facts technological know-how are in fact necessary to this house, however the various concepts being utilized also are key to figuring out the large facts arena.
The company of information — Take a more in-depth examine the activities hooked up to facts — the discovering, organizing, and studying that offer enterprises of all sizes with the data they should compete.

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Hive As introduced above, Hive is an open source data warehousing solution built on top of Hadoop. Created by Facebook, it offers a query language very similar to SQL, as well as a web interface that offers simple query-building functionality. As such, it is suited for non-developer users, who may have some familiarity with SQL. Hive’s particular strength is in offering ad-hoc querying of data, in contrast to the compilation requirement of Pig and Cascading. Hive is a natural starting point for more full-featured business intelligence systems, which offer a userfriendly interface for non-technical users.

In recent years, some owners have chosen “private” registration, which hides their details from view, but in many cases you’ll see Four free data tools for journalists (and snoops) | 43 a name, address, email and phone number for the person who registered the site. You can also enter numerical IP addresses here and get data on the organization or individual that owns that server. This is especially handy when you’re trying to track down more information on an abusive or malicious user of a service, since most websites record an IP address for everyone who accesses them Strata: Making Data Work, being held Feb.

That’s just how the script de36 | Chapter 1: Data Science and Data Tools veloped. You could put the grep first, though you’d still need to strip extra gunk from the file. Second: What if there are gigabytes of data? You have to run this command for each band, and for some other project, you might need to run it dozens or hundreds of times. That’s a valid objection. To solve this problem, you need a more complex awk script (which has associative arrays in which you can save data), or you need a programming language such as perl, python, or ruby.

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