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The latest big data news and articles

How Netflix Uses Big Data to Drive Success

Netflix has over 100 million subscribers and with that comes a wealth of data they can analyze to improve the user experience. Big data has helped Netflix massively in their mission to become the king of stream. Our friends over at FrameYourTV developed the compelling infographic below that highlights Netflix’s use of big data, specifically interesting statistics, how Netflix gathers big data, and how Netflix uses 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.

Outlook on Artificial Intelligence in the Enterprise 2018

Narrative Science, a leader in Advanced Natural Language Generation (Advanced NLG) for the enterprise, announced the availability of its third annual research report, “Outlook on Artificial Intelligence in the Enterprise 2018.” In partnership with the National Business Research Institute (NBRI), Narrative Science surveyed business executives from a wide array of functions, including business intelligence, finance, and product management, to understand the use, value, and impact of AI throughout their businesses.

Implications of Big Data Evolution on Marketing

In this special guest feature, Jordan Cardonick, Director of Media Analytics at Merkle, discusses the common pitfalls and missteps that companies fall into when trying to democratize data and insights for their company. It isn’t just about what data you have access to, but how do you ensure it is effectively communicated and embraced and not just how to use it to create a chart, graph or model.

New SAS® Data Preparation Gets Big Data Ready for Analysis

With 2.5 quintillion bytes of data being created every day, organizations need better ways to prepare it for analysis. Analytics leader SAS is now offering SAS® Data Preparation to provide analytics professionals and business users an interactive, real-time self-service application that will ease the burden of readying data for analysis.

Big(ger) Data is Better

In this contributed article, Fiona McNeill, Global Product Marketing Manager at SAS, describes how Big Data is changing lives. “The data isn’t different than what organizations had before, albeit some new sources are now accessible to many. The challenge is that there is a lot more of it, and it’s incoming at a greater pace. The enormous amount of data can make it time-consuming to compute a calculation or pull a report. Big data requires more horsepower and optimized analytics computing.”

Interview: Ida Johnsson, Ph.D. Candidate at the Department of Economics at USC

I recently caught up with Ida Johnsson, a Ph.D. Candidate at the Department of Economics at University of Southern California, to discuss how she is actively transitioning to the field of data science. This interview can serve as a compelling example for others wishing to move into the field of data science from other disciplines and explore career opportunities.

Machine Learning in Finance: Challenges, Successes & Opportunities

AI or machine learning is changing the way industries across the spectrum interact with their customers, as well as develop their processes. And nowhere is this more evident than in the financial business. Download a new insideHPC special report that explores the benefits, challenges and considerations involved with adopting machine learning in finance.

Hadoop 3.0 Perspectives by Hortonwork’s Hadoop YARN & MapReduce Development Lead, Vinod Kumar Vavilapalli

In the Q&A below, , Hortonwork’s Hadoop YARN & MapReduce Development Lead, Vinod Kumar Vavilapalli, offers his perspectives on the recent release of Hadoop 3.0, the latest version of the Open Source software framework for reliable, scalable, distributed computing.