Big Data and Solr
Using Solr with Big Data
This two-day training course is designed for Solr developers who want to:
- Learn how to use key open source tools such as Hadoop, Cascading and Mahout.
- Process big data using workflows to generate large search indexes.
- Use Solr 4 as a scalable NoSQL database and analytics engine.
The twenty modules and five labs teach participants about the essential technologies for generating both traditional Solr search indexes and NoSQL/analytics "databases" using Hadoop, Cascading, Cassandra, Mahout and Storm. By the end of the class, students will understand both good and bad use cases for these popular "big data" technologies, and how they can be used to create larger, more sophisticated search and analytics solutions based on Solr.
Class Schedule and Registration
More classes being scheduled soon!
Who Should Attend?
The class is for Solr developers who want to know how to leverage the flexible search functionality of Apache Solr and the Big Data processing of Apache Hadoop, to create the indexes for both general search and augmented data analytics. Lab exercises and real-world examples will be used to reinforce content.
To get the most from this course you should have experience developing developing Solr applications and with Java development. We also recommend completing "Solr Unleashed" and relevant work experience before taking this class.
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Instructor-led lectures with hands-on lab exercises, examples & demonstrations.
Participants will receive an electronic copy of all slides and handouts, as well as links to other resources and downloads.
If you have questions about this or any other LucidWorks University class, please contact the LucidWorks University team.
Registration for a class can be cancelled up to 14 calendar days in advance of the class date for either a full refund, or credit towards another class. No credit or refund can be given for no-shows, or class registrations cancelled less than 14 calendar days prior to a class date. If a registered participant is unable to attend the course, a substitute is welcome to take their place.
On occasion, LucidWorks has to cancel or reschedule a delivery. If this happens, we will notify you as far in advance of the scheduled course dates as possible. In the event that a course is cancelled, the liability of LucidWorks is limited to the return of paid registration fees.