Presented By O'Reilly and Cloudera
Make Data Work
31 May–1 June 2016: Training
1 June–3 June 2016: Conference
London, UK

The business case for Spark, Kafka, and friends

John Akred (Silicon Valley Data Science)
11:30–12:00 Wednesday, 1/06/2016
Data 101
Location: Capital Suite 15 Level: Non-technical
Average rating: ***..
(3.25, 4 ratings)

Spark is white-hot, but why does it matter? Some technologies cause more excitement than others, and at first the only people who understand why are the developers who use them. The secret power of big data technologies is that they promote flexible development patterns, ready to adapt to business needs, and economic scaling—but years of focusing on the label “big” has obscured much of the value to those approaching the topic. Skepticism and hype fatigue are understandable reactions.

John Akred offers a tour through the hottest emerging data technologies of 2016—including Spark, Kafka, Docker and containers, and notebooks—looks at the excitement surrounding them, and explains where these platforms fit into a complete data architecture and what they have to offer in terms of new capabilities, efficiencies, and economy of use.

Photo of John Akred

John Akred

Silicon Valley Data Science

With over 15 years in advanced analytical applications and architecture, John Akred is dedicated to helping organizations become more data driven. As CTO of Silicon Valley Data Science, John combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership.