Spark’s built-in machine-learning library (MLlib) provides a key differentiator from predecessor open source technologies and leverages Spark’s distributed, in-memory execution model. Take a look at some practical applications for specific Spark machine-learning algorithms in three advanced
Today, more than ever, businesses need to put the ability to analyze data into the hands of business analysts, data scientists, stakeholders and decision makers. Take an evolutionary look at how Apache Spark and big data discovery are just beginning to open up a diverse and powerful set of
Is your organization stuck at the edge of Hadoop adoption, searching for a path to broad use that doesn’t hold back your most proficient users? Big data discovery technology aims to help you bridge the chasm between early adoption and majority use, bringing rank-and-file users into the fold without
Big data integration is a top use case for Hadoop and other big data technologies. David Corrigan explains the big data use case and how Hadoop falls short in four key areas: discovery, efficient development, data governance and consumability.
The reality is all organizations have streaming data sources they can mine for insight. Do you have a website Are you interested in becoming more social? Do you have mobile business plan? If yes, then you have a need for real-time analytics.