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Hadoop

Hadoop

http://fr.wikipedia.org/wiki/Hadoop

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WP REST API (WP API) Notice: This is the deprecated Version 1 of the WP REST API. It's no longer supported beyond security fixes. Please consider WP REST API v2 for your website, although there are considerations to be aware of. If you activate both v1 and v2 on your website, then v1 will take priority and v2 will be inaccessible. Big data by Thales: smart and secure In an age of constant change and growing complexity, intelligent solutions from Thales provide reliable, context-sensitive information that help customers understand the world around them so they can make the right decisions at the right time. Transforming vast quantities of raw data into useful insights and critical information is Thales's core business. Thales and Big data: unique positioning

Explore big data analytics and Hadoop 1. Big data Big data refers to the size of a dataset that has grown too large to be manipulated through traditional methods. home: Strata New York 2011 - O'Reilly Conferences, September 22 - 23, 2011, New York, NY Find out more about Strata 2012, happening February 28 - March 1 in Santa Clara, California. If you weren't able to attend, you can still get a taste of Strata New York with the Strata Conference New York 2011: Complete Video Compilation . At our first Strata Conference in February, forward-thinking developers, analysts, researchers, and entrepreneurs realized that they were converging on a new profession—data scientist. Since then, demand has skyrocketed for data scientists who are proficient in the fast-moving constellation of technologies for gleaning insight and utility from big data. "A significant constraint on realizing value from big data will be a shortage of talent, particularly of people with deep expertise in statistic and machine learning, and the manager and analysts who know how to operate companies by using insights from big data."

State Street's Chief Scientist on How to Tame Big Data Using Semantics Semantic databases are the next frontier in managing big data, says State Street's David Saul. Financial institutions are accumulating data at a rapid pace. Between massive amounts of internal information and an ever-growing pool of unstructured data to deal with, banks' data management and storage capabilities are being stretched thin. But relief may come in the form of semantic databases, which could be the next evolution in how banks manage big data, says David Saul, Chief Scientist for Boston-based State Street Corp.

Outlook Privacy Plugin Outlook Privacy Plugin is a security extension for Outlook. It enables Outlook to send and receive email messages that are encrypted and/or signed with the OpenPGP standard. It uses your existing GnuPG/GPG keyrings. Hadoop: A quick and easy guide to this flexible framework When diving into the topic of big data, one soon comes across an odd-sounding name: Hadoop. What exactly is Apache Hadoop? Put simply, Hadoop can be thought of as a set of programs and procedures that anyone can use as the backbone for big data operations.

How to build a Hadoop data science team? Data scientists are in high demand these days. Everyone seems to be hiring a team of data scientists, yet many are still not quite sure what data science is all about, and what skill set they need to look for in a data scientist to build a stellar Hadoop data science team. We at Hortonworks believe data science is an evolving discipline that will continue to grow in demand in the coming years, especially with the growth of Hadoop adoption. This role requires experience and knowledge in math, statistics and machine learning, programming and scripting, as well as visualization techniques. We tend to think of the data scientist role as a continuum of skills: Software engineers really enjoy crafting new production-grade software systems, that are testable and maintainable, secure and scale well.

Big Data, Big Noise, Big Trouble? I have been hearing the term “big data” a lot lately (should it be capitalized?) and may even have talked about it inadvertently in my latest blog (“What Lurks in your Unstructured Data?”). But, I am not sure what it is. How The Next Generation Database Could Solve Your Problems The past decades organisations have been working with relational databases to store their structured data. In the big data era however, these types of databases are not sufficient anymore. Although they made a huge difference in the database world and unlocked data for many applications, relational databases miss some important characteristics for the big data era. NoSQL databases are the answer that solves many of these problems. It is a completely new way of thinking about databases. Although NoSQL was first mentioned in 1998 by Carlo Strozzi who used it to name his lightweight, open-source relational database that did not expose the standard SQL interface, it really became know in 2009.

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The emergence of a new data science hero The explosion of big data and its opportunities for uncovering new insights is shaping the emerging data scientist role into the superhero of this generation, and possibly generations to come. Many organizations are creating data-driven strategies to innovate, compete and capture value from massive amounts of information they collect and store. They have a critical need for technically strong analytical professionals who can engage in knowledge discovery and convert data to business value. While not tied exclusively to big data projects, data scientists complement these initiatives because of the growing breadth and depth of the data they examine.

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