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

Vida Ha
Lead Solutions Engineer, Databricks

@femineer

Vida Ha is currently a solutions engineer at Databricks. Previously, she worked on scaling Square’s reporting analytics system. Vida first began working with distributed computing at Google, where she improved search rankings of mobile-specific web content and built and tuned language models for speech recognition using a year’s worth of Google search queries. She’s passionate about accelerating the adoption of Apache Spark to bring the combination of speed and scale of data processing to the mainstream.

Sessions

12:05–12:45 Thursday, 2/06/2016
Spark & beyond
Location: Capital Suite 13 Level: Intermediate
Vida Ha (Databricks), Prakash Chockalingam (Databricks)
Average rating: ***..
(3.59, 17 ratings)
So you’ve successfully tackled big data. Now let Vida Ha and Prakash Chockalingam help you take it real time and conquer fast data. Vida and Prakash cover the most common uses cases for streaming, important streaming design patterns, and the best practices for implementing them to achieve maximum throughput and performance of your system using Spark Streaming. Read more.