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Overview

Cloudera University’s Search training course is for developers and data engineers who want to index data in Hadoop for more powerful real-time queries and integrate Cloudera Search with external applications. This course is part of the developer learning path.

Hands-On Hadoop

Through instructor-led discussion and interactive, hands-on exercises, 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

Audience & 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.

Book the course

How would you like to train?

Advance Your Ecosystem Expertise

Cloudera Search brings full-text, interactive search and scalable, flexible indexing to an enterprise data hub. Powered by Apache Solr, Search delivers scale and reliability for a new generation of integrated, multi-workload queries.

Course Contents

Introduction

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

Conclusion

I immediately began using lessons from my Cloudera class to address and revisit several real-world issues and use cases that had been problematic, and was able to quickly create working code that yielded desired results. 

Intel

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Advance Your Career

Big data analysts are among the world's most in-demand and highly-compensated technical roles. Check out some of the job opportunities currently listed that match the professional profile, many of which seek experience with Search and Solr.

Private Training

We also provide private training at your site, at your pace, and tailored to your needs.

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