This video is part 2 of a 2-part series. If you missed it, watch part 1 here.
Ever wonder how video providers get actionable insights on content placement, programming and advertising from the billions of bits of data at their disposal? Do you nervously pretend to know what Splunk and Hive are at Silcon Valley cocktail parties?
Inside Ooyala focuses the Videomind lens on various aspects of the work that goes into streaming video for the world's most innovative broadcasters, media companies and publishers. In this edition, Dan Simon, a director of engineering at Ooyala, talks about big data, and how it can help maximize video engagement and monetization.
None of the usual hype here: Dan gives an educational talk on hardware vs. software approaches to big data mining, how big-data solutions like Splunk and Hive fit into the mix, the benefits of streaming over batching, and how Ooyala big data crunching compares to industry standards.
Go ahead, scratch your big data itch...watch this video.