Inside-BigData » Data Mining http://inside-bigdata.com Discovering Gold with Big Data Analytics and Data-Intensive Computing Sat, 18 May 2013 13:49:41 +0000 en hourly 1 http://wordpress.org/?v=3.1.1 What Big Data Means to Front-Line IT Managers http://inside-bigdata.com/what-big-data-means-to-front-line-it-managers/ http://inside-bigdata.com/what-big-data-means-to-front-line-it-managers/#comments Thu, 07 Jun 2012 15:58:49 +0000 Rich http://inside-bigdata.com/?p=1586 Over at IT Manager Daily, Megan Berry writes that a solid data management strategy needs to start with the end goal of insight in mind. The challenge is to formulate the right questions to extract meaning out of terabytes, even petabytes (and some day zettabytes!) of data—data organizations feel compelled to collect and store even [...]

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]]> Over at IT Manager Daily, Megan Berry writes that a solid data management strategy needs to start with the end goal of insight in mind.

The challenge is to formulate the right questions to extract meaning out of terabytes, even petabytes (and some day zettabytes!) of data—data organizations feel compelled to collect and store even though its value is not always immediately known.

Read the Full Story.


 

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]]> http://inside-bigdata.com/what-big-data-means-to-front-line-it-managers/feed/ 0 Video: The SAS Approach to Big Data http://inside-bigdata.com/video-the-sas-approach-to-big-data/ http://inside-bigdata.com/video-the-sas-approach-to-big-data/#comments Wed, 30 May 2012 16:04:20 +0000 Rich http://inside-bigdata.com/?p=1516 http://www.youtube.com/watch?v=SoEzywDrB4Y In this video, SAS VP Paul Kent discusses his new role at SAS and the company’s approach to Big Data. Recorded at the SAS Global Forum 2012 in Orlando, FL.  

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]]> http://www.youtube.com/watch?v=SoEzywDrB4Y

In this video, SAS VP Paul Kent discusses his new role at SAS and the company’s approach to Big Data. Recorded at the SAS Global Forum 2012 in Orlando, FL.


 

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]]> http://inside-bigdata.com/video-the-sas-approach-to-big-data/feed/ 0 Slidecast: Top Benefits of Cloud Databases http://inside-bigdata.com/slidecast-top-benefits-of-cloud-databases/ http://inside-bigdata.com/slidecast-top-benefits-of-cloud-databases/#comments Thu, 24 May 2012 16:17:22 +0000 Rich http://inside-bigdata.com/?p=1484 http://www.youtube.com/watch?v=TaDPA-tY1ro In this slidecast, Karen Tegan Padir from EnterpriseDB presents: Top Benefits of Cloud Databases. PostgreSQL is the #1 enterprise-class open source database with a feature set comparable to the major proprietary RDBMS vendors and a customer list that spans every industry. EnterpriseDB’s Postgres Plus solutions let you confidently develop and deploy PostgreSQL-backed applications that [...]

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]]> http://www.youtube.com/watch?v=TaDPA-tY1ro

In this slidecast, Karen Tegan Padir from EnterpriseDB presents: Top Benefits of Cloud Databases.

PostgreSQL is the #1 enterprise-class open source database with a feature set comparable to the major proprietary RDBMS vendors and a customer list that spans every industry. EnterpriseDB’s Postgres Plus solutions let you confidently develop and deploy PostgreSQL-backed applications that scale all the way from embedded solutions to massive OLTP and data warehouse systems that serve thousands of users.

Download the MP3 * Subscribe on iTunes * If Dropbox is blocked, download from this Google page.


 

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]]> http://inside-bigdata.com/slidecast-top-benefits-of-cloud-databases/feed/ 0 MapReduce and MPP: Big Data Cousins http://inside-bigdata.com/mapreduce-and-mpp-big-data-cousins/ http://inside-bigdata.com/mapreduce-and-mpp-big-data-cousins/#comments Fri, 02 Mar 2012 16:03:15 +0000 Rich http://inside-bigdata.com/?p=1136 Andrew Brust over at ZDnet writes that data warehouse and Hadoop practitioners have more in common than they might care to admit. For now, expect to see lots of permutations of Hadoop and its ecosystem components with data warehouse, business intelligence, predictive analytics and data visualization technologies. In the future, be prepared to see these [...]

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]]> Andrew Brust over at ZDnet writes that data warehouse and Hadoop practitioners have more in common than they might care to admit.

For now, expect to see lots of permutations of Hadoop and its ecosystem components with data warehouse, business intelligence, predictive analytics and data visualization technologies. In the future, be prepared to see these specialty areas more unified, rationalized and seamlessly combined. The companies that get there first will have real competitive advantage. Companies that continue to just jam these things together will have a tougher time.

Read the Full Story.


 

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]]> http://inside-bigdata.com/mapreduce-and-mpp-big-data-cousins/feed/ 0 Looking to Hire or Work in Big Data? A Guide to the Interview http://inside-bigdata.com/looking-to-hire-or-work-in-big-data-a-guide-to-the-interview/ http://inside-bigdata.com/looking-to-hire-or-work-in-big-data-a-guide-to-the-interview/#comments Tue, 11 Oct 2011 13:00:49 +0000 Ralph http://inside-bigdata.com/?p=569 Whether you are looking to hire Data Mining and Modeling candidates or are an prospective applicant, the interview can be a a challenging process. Vincent Granville, highly experienced analytics manager and data modeler, recently interviewed candidates for an open position and he lays out his philosophy and approach in a recent post. His overall goal [...]

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]]> Whether you are looking to hire Data Mining and Modeling candidates or are an prospective applicant, the interview can be a a challenging process. Vincent Granville, highly experienced analytics manager and data modeler, recently interviewed candidates for an open position and he lays out his philosophy and approach in a recent post. His overall goal is to find someone who is smart, focused and compatible with the existing team. He breaks down the one-hour interview into five segments and discusses each of them them in detail.

Some people look at every interaction or project as a performance, a test of their intelligence. Others look at those same interactions as opportunities to learn, to engage, to gain more knowledge. I want to hire the latter. I prefer questions . . .  where there is not a single, universally-accepted method or technique. It gives [the applicant] the opportunity to take a stance, express an opinion, and defend it based on [their]  experience. I also want to hear if [the applicant] has experimented with different approaches and what  has [been] learned from those experiments.

Read the Full Story and be sure to check out our inside-BigData Job Board.


 

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