Big Data & Solr
Scaling Search with Big Data & Solr |
Course Overview
Scaling Search with Big Data & Solr is a 16-hour instructor-led, hands-on classroom training course delivered by instructors certified by Lucid in a both classroom and virtual classroom settings.
This Course Covers
We'll start with Hadoop from the ground up, and cover MapReduce, HDFS - the Hadoop Distributed File System, cluster management, "the shuffle," etc., before continuing on to connecting it to Solr. We'll look at common use cases for generating search indexes from big data, typical patterns for the data processing workflow, and how to make it all work reliably at scale. We will explore in-depth an example of processing 1 billion records to create a faceted Solr search solution. You'll learn how Solr can be used as a NoSQL solution, and how it compares to classic NoSQL projects such as Cassandra and HBase.
The class will continue with techniques for scaling your Solr installation, how to identify bottlenecks in your Solr installation, how to monitor your installation, and how determine resource usage. We'll also cover various Solr architectures, their characteristics and use cases. We'll examine how to apply these to make appropriate tradeoffs to effectively scale your Solr installation.
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.
Prerequisites
To get the most from this course you should have experience developing developing Solr applications and with Java development. We also recommend completing "Developing Search Applications with Solr" and relevant work experience before taking this class.
Duration
Classroom delivery – Two 8-hour days with a 1 hour break for lunch.
Virtual Classroom delivery – Four, 4 1/2 hour days with 30 minute breaks.
Format
Instructor-led lectures with hands-on lab exercises, examples & demonstrations.
Course Materials
Participants will receive an electronic copy of all slides and handouts, as well as links to other resources and downloads.
Register for your class today!
Check upcoming class schedule and registration information below.
Cancellation Policy
Registration for a class can be canceled 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 canceled 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, Lucid Imagination has to cancel or reschedule a delivery. If this happens, we will let you know at least two weeks before the start of a classroom delivery, or one week before the start of a virtual classroom delivery. Please keep this in mind when make travel arrangements.
More information
If you have questions about this or any other Lucid University class, please contact the Training team.