How to Leverage Spark and NoSQL for Data Driven Applications
Date: This event took place live on May 31 2016
Duration: Approximately 60 minutes.
Questions? Please send email to
Your web, mobile, and IoT applications generate an endless stream of information that can improve the operational efficiency and insight of your business – but only if you have the right technology to quickly capture and analyze the data.
To benefit from Spark, you need to get data into Spark as fast as possible for analysis and then make the results available to applications and analysts just as fast. Pairing Spark with a NoSQL database like Couchbase helps your enterprise get smarter, faster. In this webinar you'll learn:
About Will Gardella, Director, Product Management – Couchbase
Will is Director of Product Management at Couchbase where he focuses on analytics, Spark, Kafka, and search. He's responsible for interoperability between Couchbase and other big data technologies.
Previously, he was a product manager in the big data platform team at HP, a senior director of product management at SAP HANA, and the senior director of SAP Research's global Big Data program centered on big data and machine learning.
About Michael Nitschinger, JVM Engineer – Couchbase
Michael is a JVM engineer at Couchbase. He is the architect and maintainer of the Couchbase Java SDK, one of the first completely reactive database drivers on the JVM. He also authored and maintains the Couchbase Spark Connector. Michael is active in the open source community, a core member of the Netty project, and also contributes to various other projects like RxJava. He regularly attends conferences and Meetups, and is active on Twitter – @daschl.