The evolution of Apache HIVE and an introduction to Apache Zeppelin

In the lead up to Hadoop Summit (http://hadoopsummit.org/melbourne/), we are fortunate enough to have Alan Gates, co-founder at Hortonworks and Moonsoo Lee, co-founder of NFLabs in town. Optiver is sponsoring beer, pizza and the venue for the night. This is going to be a very popular meetup, and spaces are limited, so please only RSVP if you are sure you can join us.

1. The Evolution of HIVE, Alan Gates (http://hortonworks.com/about-us/founders/) Co-founder at HortonWorks: Apache Hive is now the defacto SQL engine for Hadoop, most of the Hadoop users uses Hive actively in storing data in variety of formats, Hive been known as Batch and might be slow at sometimes, but with Tez and now LLAP Hive is getting to be a sub second query engine as well, Alan will take us through quick Hive history and Hive LLAP and what has been done for Hive and what is the future for Hive as well from a PMC member view perspective.

2. Introduction to Apache Zeppelin, Moonsoo Lee (https://www.linkedin.com/in/moonsoo-lee-4982a511) Co-founder and CTO NFLabs: Zeppelin is an Interactive browser-based notebooks enable data engineers, data analysts and data scientists to be more productive by developing, organizing, executing, and sharing data code and visualizing results without referring to the command line or needing the cluster details. Notebooks allow these users not only allow to execute but to interactively work with long workflows. There are a number of notebooks available with Spark. iPython remains a mature choice and great example of a data science notebook.