Sas Data Modeling

The world's leading business analytics software and service provider SAS is developing an interactive analysis programming environment that is based on SAS memory analysis technology and is suitable for open source framework Hadoop. 　　New software helps companies improve profitability, reduce risk, improve customer understanding, and create more business success opportunities by tapping large data faster to gain more accurate business insights. SAS? In-memorystatisticsforhadoop enables multiple users to simultaneously and interactively manage, mine and analyze data, build and compare models, and to ha ...

November 24, sponsored by ZDNet to the top of the network, Intel co-organizer, VMware and SAS supported the theme of "large data?" The fifth session of the Forum on the Scientific development of government decision-making was held in Kunshan. A number of government information experts, large data practice elite and IT industry opinion leaders attended the meeting, and in the Conference on the large data in the actual application of information technology and other issues of in-depth exchanges. Among them, the SAS government industry senior manager Yang Yue from the technical and the application each stratification plane analyzes the data value to play the characteristic and the key point, and has summed up the enterprise in the response Big data The good number ...

Which of the following 5 languages are NODE, LUA, Python, Ruby, R, and which will be better applied in the 2014? I don't hesitate to choose R. 　　R is not only 2014, but also the protagonist for a longer period of time. 1. My programming background programmer, Architect, from the beginning of programming to today, has been convinced that Java is the language to change the world, Java has done, and has been very brilliant. But when the world of Java is becoming bigger and larger, when it becomes omnipotent, it is not professional enough for other languages to develop ...

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

Large data is changing the way many companies and IT departments observe, store, and read data. But the technology is still in its infancy, and many companies are still looking for the right balance. As successful companies tap into their data to get information, a range of seemingly random numbers of information becomes profit growth, and the ability to large data and manage large data has become a core competency in almost every industry. But what does "big data" really mean? Is it some kind of charade or something? Simply put, the big data is the company-wide data that comes and goes into the company. ...

Open source code platforms for large data are becoming popular. 　　In the past few months, almost everyone seems to have felt the impact. Low cost, flexibility and applicability to trained personnel are the main reasons for open source prosperity. Hadoop, R, and NoSQL are now the backbone of many of the enterprise's big data policies, whether they use it to manage unstructured data or perform complex statistical analyses. "It's almost impossible to keep up with it: SAP AG recently released a new product, SAP BusinessObjects Predictive analytics, software integration ...

Foreword 2012 years time "big data" the argument gradually appears in our vision, to 2013 years "The Big Data" became the hottest discussion topic, then what is the big data, the big data actually has what magic to let the person go hot to discuss? Let's look at the definition of large data: "Big Data", Or the vast amount of data, refers to the volume of data involved in the large scale to be unable to pass the current mainstream software tools, within a reasonable time to achieve capture, management, processing, and collation to help the business decision-making more positive purpose information. (In Victor Maire-...

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding: ...

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding: ...

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. 　　But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. 　　Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding ...