| Big data suite goes open source | Facebook garners big gains from tighter management of open source | ||||||||||
| ITworld Linux and Open Source Strategies | ||||||||||
| | Torvalds: 'People who start writing kernel code get hired really quickly' WHITE PAPER: DomainTools Mapping Domain Ownership in Cybersecurity Investigations As the Internet has matured, the tactics and networks of cybercrime have grown in sophistication. Using DNS Intelligence and Whois data, cybersecurity teams and threat investigators can establish verifiable connections and build a Forensic Domain Map, allowing for proactive measures to be taken. Learn more >> In this Issue
WHITE PAPER: DomainTools Domain Attribution: Piercing the Veil of Masked Ownership Cybercrime organizations and threat actors have become increasingly more sophisticated in hiding their identities in Whois records. This guide will show you how DNS tools can be applied in an investigation to bypass this veil to identify the perpetrator and build a profile of a cyber-attack. Learn more >> Big data suite goes open source Facebook garners big gains from tighter management of open source Startup makes LibreOffice, OpenOffice available for Firefox smartphones Linus Torvalds bumps Linux kernel to version 4.x WHITE PAPER: Kaspersky Lab, Inc. Security Technnologies for Mobile and BYOD Read this whitepaper to assess the security technology options that are essential for protecting your network, systems, and data. Learn More Apache Spark jumps on the R bandwagon HP latest to unbundle switch hardware, software How law enforcement monitors the Dark Web
With so much emphasis on getting insight from data these days, it's no wonder that R is rapidly rising in popularity. R was designed from day one to handle statistics and data visualization, it's highly extensible with many new packages aimed at solving real-world problems and it's open source (read "free").If you're ready to learn, we have just the ticket.Included in this 45-page guide: Introduction: First steps, including downloading R and RStudio, setting your working directory and installing and using packages. Get your data into R: Importing local and remote files, copying data from your clipboard, saving after import. Easy ways to do basic data analysis: Examining a data object, seeing basic stats with one line of code, slicing/subsetting your data. Painless data visualization: Base R graphics, ggplot2, adding color, exporting graphics. Syntax quirks: A few ways in which R is most unlike other programming languages -- learn these and you'll be ready to tackle R's idiosyncrasies. Plus: How to use SQL syntax within R. To read this article in full or to leave a comment, please click here(Insider Story) Read More
HP extends R programming language for big data use | | ||||||||
| BECOME AN ITWORLD INSIDER Get exclusive access to premium content from ITworld, CIO magazine, Computerworld, InfoWorld, Network World, and CSO -- the best publications in the business. | ||||||||||
| Get more peer perspective online You are currently subscribed to itworld_linux as garn14.tech@blogger.com. Unsubscribe from this newsletter | Manage your subscriptions | Subscribe | Privacy Policy To contact ITworld, please send an e-mail to online@itworld.com. Copyright (C) 2015 ITworld, 492 Old Connecticut Path, Framingham, MA 01701. ** Please do not reply to this message. If you want to contact someone directly, send an e-mail to online@itworld.com. | ||||||||||
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.