This OnDemand offering provides you with a 180-day subscription that begins on the date of purchase.
Prerequisites
This course is intended for developers and data engineers with at least basic familiarity with Hadoop and experience programming in a general-purpose language such as Java, C, C++, Perl, or Python. Participants should be comfortable with the Linux command line and should be able to perform basic tasks such as creating and removing directories, viewing and changing file permissions, executing scripts, and examining file output. No prior experience with Apache Solr or Cloudera Search is required, nor is any experience with HBase or SQL.
This course includes video lectures, assessments, and hands-on exercise access. Participants will navigate the Hadoop ecosystem, learning topics such as:
- Performing batch indexing of data stored in HDFS and HBase
- Indexing streaming data in near-real-time with Flume
- How to index content in multiple languages and file formats
- Processing and transforming incoming data with Morphlines
- Creating a user interface for an index using Hue
- Integrating Cloudera Search with external applications
- Improving the experience using faceting, highlighting, and spelling correction
Subscription Details
This OnDemand offering provides you with a 180-day subscription that begins on the date of purchase. While the subscription is active, you will have unlimited access to the course training materials which includes recorded course lectures and demonstrations, assessment components, and hands-on exercise instructions. You will also receive 15 runtime hours of access to the online hands-on exercise environment accessible though web browser. You can start the exercise environment when you are ready to use it. You can stop or pause it when you are done for the time being, then return anytime to continue where you left off. The exercise environment remains accessible until you have used the runtime hours or the subscription period ends, whichever occurs first.
Overview of Cloudera Search
- What is Cloudera Search?
- Helpful Features
- Use Cases
- Basic Architecture
Performing Basic Queries
- Executing a Query in the Admin UI
- Basic Syntax
- Techniques for Approximate Matching
- Controlling Output
Writing More Powerful Queries
- Relevancy and Filters
- Query Parsers
- Functions
- Geospatial Search
- Faceting
Preparing to Index Documents
- Overview of the Indexing Process
- Understanding Morphlines
- Generating Configuration Files
- Schema Design
- Collection Management
Batch Indexing HDFS Data with MapReduce
- Overview of the HDFS Batch Indexing Process
- Using the MapReduce Indexing Tool
- Testing and Troubleshooting
Near-Real-Time Indexing with Flume
- Overview of the Near-Real-Time Indexing Process
- Introduction to Apache Flume
- How to Perform Near-Real-Time Indexing with Flume
- Testing and Troubleshooting
Indexing HBase Data with Lily
- What is Apache HBase?
- Batch Indexing for HBase
- Indexing HBase Tables in Near-Real-Time
Indexing Data in Other Languages and Formats
- Field Types and Analyzer Chains
- Word Stemming, Character Mapping, and Language Support
- Schema and Analysis Support in the Admin UI
- Metadata and Content Extraction with Apache Tika
- Indexing Binary File Types with SolrCell
Improving Search Quality and Performance
- Delivering Relevant Results
- Helping Users Find Information
- Query Performance and Troubleshooting
Building User Interfaces for Search
- Search UI Overview
- Building a User Interface with Hue
- Integrating Search into Custom Applications
Considerations for Deployment
- Planning for Deployment
- Determining Hardware Needs
- Security Overview
- Collection Aliasing
