Machine Learning

Machine Learning Podcast

O’Reilly Radar Podcast: The 2017 Machine Learning Outlook

O’Reilly Media Editor, Jon Bruner, recently sat down with MemSQL VP of Engineering, Drew Paroski, and MemSQL CMO, Gary Orenstein, to discuss the rapid growth and impact that machine learning will have in 2017. In this podcast, Paroski and Orenstein share examples from companies using real-time technologies to power machine learning applications. They also identify key trends driving the adoption of machine learning and predictive analytics. Listen Here Podcast topics of discussion include: ...

Path to Predictive Analytics Book

The Path to Predictive Analytics and Machine Learning - Free O’REILLY Book

Organizations once waited hours, days, or even weeks to get a handle on their data. In an earlier era, that sufficed. But with today’s endless stream of zeros and ones, data must be usable right away. It’s the crux of decision making for enterprises competing in the modern era. Recognizing cross-industry interest in massive data ingest and analytics, we teamed up with O’Reilly Media on a new book: The Path to Predictive Analytics and Machine Learning. In this book, we share the latest step...


Using MemSQL and Spark for Machine Learning

At Spark Summit in San Francisco, we highlighted our PowerStream showcase application, which processes and analyzes data from over 2 million sensors on 200,000 wind turbines installed around the world. We sat down with one of our PowerStream engineers, John Bowler, to discuss his work on our integrated MemSQL and Apache Spark solutions. What is the relationship between MemSQL and Spark? At its core, MemSQL is a database engine, and Spark is a powerful option for writing code to transform data....