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Cloudera Search Training (CST)

Course Description Schedule Course Outline

Detailed Course Outline

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
 

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