How Xactly Built a Converged Data Platform with Hadoop Spark Solr and More

Webinar date: August 12, 2016

[mapr on-demand spark software development webinars data engineering webinars data science webinars]

Big data presents both enormous challenges and incredible opportunities for companies in today’s competitive environment. To deal with the rapid growth of global data, companies have turned to Hadoop to help them with performing real-time search, obtaining fast and efficient analytics, and predicting behaviors and trends. In this session, we demonstrate how we successfully leveraged Hadoop and its ecosystem components to build a big data infrastructure to meet these needs.

During this session, we discuss:

Tips for building an effective data pipeline/li>

How we created a benchmarking product using Apache Spark and other components

How to apply data science techniques in memory for real-time web applications using Spark

The challenges in running Spark in production

How we use Hadoop, Kafka, and Solr to provide real-time search


Steve Wooledge VP of Product and Digital MapR

Kandarp Desai Director of Engineering Xactly Corp

Additional Resources

[Slides] Xactly: How to Build a Successful Converged Data Platform with Hadoop, Spark, Solr, and More

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