Cloudera Search Training (CST)

Module 1: Overview of Cloudera Search

• What is Cloudera Search?
• Helpful Features
• Use Cases
• Basic Architecture

Module 2: Performing Basic Queries

• Executing a Query in the Admin UI
• Basic Syntax
• Techniques for Approximate Matching
• Controlling Output

Module 3: Writing More Powerful Queries

• Relevancy and Filters
• Query Parsers
• Functions
• Geospatial Search
• Faceting

Module 4: Preparing to Index Documents

• Overview of the Indexing Process
• Understanding Morphlines
• Generating Configuration Files
• Schema Design
• Collection Management

Module 5: Batch Indexing HDFS Data with MapReduce

• Overview of the HDFS Batch Indexing Process
• Using the MapReduce Indexing Tool
• Testing and Troubleshooting

Module 6: 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

Module 7: Indexing HBase Data with Lily

• What is Apache HBase?
• Batch Indexing for HBase
• Indexing HBase Tables in Near-Real-Time

Module 8: 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

Module 9: Improving Search Quality and Performance

• Delivering Relevant Results
• Helping Users Find Information
• Query Performance and Troubleshooting

Module 10: Building User Interfaces for Search

• Search UI Overview
• Building a User Interface with Hue
• Integrating Search into Custom Applications

Module 11: Considerations for Deployment

• Planning for Deployment
• Determining Hardware Needs
• Security Overview
• Collection Aliasing