Spark or Hadoop: Is it an either-or proposition? - Slim Baltagi/SparkBigData.com

Abstract: An exodus away from Hadoop to Spark is picking up steam in the news headlines and talks! Away from marketing fluff and politics, this talk analyzes such news and claims from a technical perspective. In practical ways, while referring to components and tools from both Hadoop and Spark ecosystems, this talk will show that the relationship between Hadoop and Spark is not an either-or type but can take different forms such as: evolution, transition, integration, alternation and complementary parts.

Bio: Slim Baltagi is a Big Data Solutions Architect living in Chicago with over 17 years of IT and business experiences. Slim spent the last 4 years of his life hadooping and recently sparking!! Slim enjoys speaking at Big Data events. While his wife and kids are asleep, Slim maintains his Apache Spark Knowledge Base: http://www.SparkBigData.com now with over 3,000 categorized Apache Spark web resources.

Disclaimer: This is a vendor-independent talk that expresses the speaker's own opinions.

Parking:

PARKING/ARRIVAL INSTRUCTIONS:

Arrival: Hulu's HR department will have a table set up at the entry to check attendees in, and lead them to the presentation space.

Parking: Unfortunately Hulu is unable to validate parking, but luckily the streets around their offices offer a ton of street and metered parking options.

http://photos4.meetupstatic.com/photos/event/8/2/d/600_435122093.jpeg