SAS to provide groundbreaking large data analysis technology based on Hadoop

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 score massive amounts of data within the Hadoop framework. Hadoop Open source framework is widely regarded as the future direction of large data. SAS software will help data scientists increase productivity dramatically in the first half of 2014.

"SAS?" The In-memorystatisticsforhadoop can load Hadoop data and save it in memory for multiple user-type analysis in a single session, compared to The problem with other ways to write data to disk is that all data transfers are extremely inefficient for large data processing. "We are working to help data scientists, modelers and statisticians reduce the complexity of using a variety of analytical programming languages," said Oliverschabenberger, senior director of the SAS Analytics Server Research and Development Division. SAS? In-memorystatisticsforhadoop supports all types of data analysis and opens a fast, strong and integrated approach to collaborative analysis. ”

SAS? The statistical and machine learning modeling techniques supported by In-memorystatisticsforhadoop include clustering, regression, generalized linear model, variance analysis, decision tree, stochastic decision Forest, text analysis and recommendation system. SAS Visualization Analysis (SAS) Visualanalytics) used in the memory analysis technology is also applied to SAS? In-memorystatisticsforhadoop. The SAS memory architecture provides unprecedented speed for data analysis-which is essential for mining value in massive amounts of data.

Why do you choose Hadoop?

IDC, a market-research firm, predicts that Hadoop will achieve $812.8 million trillion in sales by 2016-a composite annual growth rate of 60.2% per cent. SAS expects customers to continue to transform large data into superior insights with Hadoop.

"Hadoop is great for businesses that accumulate massive data assets. SAS is dedicated to helping those organizations that deploy large data architectures to use the industry's top analysis technology to achieve great value, "said SAS chief data scientist Waynethompson," before the big data idea was hot, SAS began to focus on serving large data users. Along with the technology development, we also unceasingly satisfies the change customer demand, realizes the customer to think. ”

He also mentioned SAS's strategic collaboration with Cloudera and Hortonworks, a renowned company in the Hadoop ecosystem, to give customers the opportunity to use industry-leading analytics in the popular Hadoop distribution.

Hadoop can distribute data and perform parallel processing on a commercial server cluster, as well as detect and handle failures that are critical to distributed processing. In addition to the Low-cost distributed hardware and data redundancy security model, Hadoop has the following significant advantages:

L Parallel processing-hadoop distributed computing model has massive data processing capability.

L scalability-You can easily extend the Hadoop system by adding nodes.

L Storage Flexibility-unlike traditional relational databases, data does not need to be preprocessed for storage. Hadoop enables easy storage of unstructured data.

"The rise of big data has contributed to the prosperity of the underlying open-source Hadoop technology," said Mr Wu Xishi, president of the SAS company Greater China. We've also seen the potential business of Hadoop, which is cheaper, easier to deploy, and able to store unstructured data such as text to meet the needs of the business. At present, Hadoop is becoming more and more widely used in China, especially in telecommunications and finance. SAS wants to be able to introduce powerful analytics technology into Hadoop to help businesses gain value from Hadoop deployments. ”