Webinar: Solr & Spark for Real Time Big Data Analytics

Apache Spark has emerged as the leading platform for real-time big data analytics and machine learning. Apache Solr has been adopted by all major Hadoop platform vendors because of its ability to scale horizontally to meet even the most demanding big data search problems.

Lucidworks Senior Engineer and Lucene/Solr Committer Tim Potter presents common use cases for integrating Spark and Solr, access to open source code, and performance metrics to help you develop your own large-scale search and discovery solution with Spark and Solr.

You will learn how to:

- Use Solr as a Spark SQL DataSource with the recently released open source toolkit
- Combine data from Solr with data from other enterprise systems to perform advanced analysis tasks at scale
- Index data into Solr in real-time using Spark Streaming
- Pull data from Solr to train machine learning models

Indexing Performance in Solr 5.2:
http://lucidworks.com/blog/2015/06/10/indexing-performance-solr-5-2-now-twice-fast/

Solr as an Apache Spark SQL DataSource:
https://lucidworks.com/blog/2015/08/20/solr-spark-sql-datasource/

Lucidworks' Fusion platform provides the enterprise-grade capabilities needed to design, develop, and deploy intelligent search apps - at any scale.

For additional tips, check out Lucidworks blog:
http://lucidworks.com/blog

Need advanced search capabilities now?

Download Fusion:
https://lucidworks.com/download/

Join an upcoming Fusion or Solr training:
https://lucidworks.com/resources/solr-training-and-consulting/

Contact Sales for a free consultation:
https://lucidworks.com/company/contact/

Видео Webinar: Solr & Spark for Real Time Big Data Analytics канала Lucidworks