Sign up for our newsletter and get the latest big data news and analysis.

Statistics and Machine Learning at Scale: New Technologies Apply Machine Learning to Big Data

In a new white paper, based on presentations given over the last few years. Wayne Thompson, Manager of Data Science Technologies at SAS, introduces key machine learning concepts, explains the correlation between statistics and machine learning, and describes SAS solutions that enable machine learning at scale. Download the report to lean more about how new machine learning technologies are being applied to big data.

Best Practices Report: The Power of Operationalized Analytics

The pace of business continues to increase. And the power of big data and analytics is growing. But it’s not enough to just analyze this data anymore. According to a new TDWI Best Practices Report, sponsored by SAS, businesses also need to take action on this data. Read on to find out how businesses can better operationalize their analytics and derive value from their data. 

Business Analytics are Helping Companies Push the Envelope & Drive Innovation

These days, data and business analytics are the catalysts allowing many companies to push the envelope. A new MITSloan Management Review Research Report, sponsored by SAS, explores analytics as a source of business innovation, as well as how this increased ability to innovate is benefitting a spectrum of industries.

Operationalizing and Embedding Analytics for Action

As the pace of business continues to accelerate, forward-looking organizations are beginning to realize that it is not enough to analyze their data; they must also take action on it. To do this, more businesses are beginning to systematically operationalize their analytics as part of a business process. Download a new TDWI Best Practices Report from SAS that focuses on how organizations can and are operationalizing and embedding analytics to derive business value.

Big Data Analytics as a Source of Business Innovation

Competitive advantage from data analytics is changing, and for the better. Big data analytics are increasingly the start and source of business innovation, which is producing a surge of benefits across industries. Download a new report from SAS to lean more about how recent headway in data analytics is pushing business innovation.

Five big data challenges And how to overcome them with visual analytics

Big data is set to offer companies tremendous insight. Data visualization is becoming an increasingly important component of analytics in the age of big data. access to information in a form they can easily understand and share with others. This begs the question: How do you present big data in a way that business leaders can quickly understand and use? Learn more by reading this white paper.

How to Use Hadoop as a Piece of the Big Data Puzzle

Organizations are embracing Hadoop for several notable merits:

• Hadoop is distributed. Bringing a high-tech twist to the adage, “Many hands make light work,” data is stored on local disks of a distributed cluster of servers.
• Hadoop runs on commodity hardware. Based on the average cost per terabyte of compute capacity of a prepackaged system, Hadoop is easily 10 times cheaper for comparable computing capacity compared to higher-cost specialized hardware.
• Hadoop is fault-tolerant. Hardware failure is expected and is mitigated by data replication and speculative processing. If capacity is available, Hadoop runs multiple copies of the same task, accepting the results from the task that finishes first. To learn more read this white paper.