Cloudera Search Training

Cloudera Search Training (CST)

Introduction:

Cloudera Search Training Course Project-Based, Hands-on

Cloudera University’s three-day Cloudera Search Training course is for developers and data engineers who want to index data in Hadoop for more powerful real-time queries. You will learn to get more value from their data by integrating Cloudera Search with external applications. Through instructor-led discussion and interactive, hands-on exercises, you will learn to navigate the Hadoop ecosystem.

Customize It:

With onsite Training, courses can be scheduled on a date that is convenient for you, and because they can be scheduled at your location, you don’t incur travel costs and students won’t be away from home. Onsite classes can also be tailored to meet your needs. You might shorten a 5-day class into a 3-day class, or combine portions of several related courses into a single course, or have the instructor vary the emphasis of topics depending on your staff’s and site’s requirements.

Audience/Target Group

Cloudera University’s three-day Search training course is for developers and data engineers who want to index data in Hadoop for more powerful real-time queries. You will learn to get more value from their data by integrating Cloudera Search with external applications. Through instructor-led discussion and interactive, hands-on exercises, you will learn to navigate the Hadoop ecosystem.

Cloudera Search Training (CST)Related Courses:

Duration: 5 days

Class Prerequisites:

Basic familiarity with Hadoop
Experience programming in a general-purpose language such as Java, C, C++, Perl or Python.
Should be comfortable with the Linux command line
No prior experience with Apache Solr or Cloudera Search is required

What You Will Learn:

Perform batch indexing of data stored in HDFS and HBase
Perform indexing of streaming data in near-real-time with Flume
Index content in multiple languages and file formats
Process and transform incoming data with Morphlines
Create a user interface for your index using Hue
Integrate Cloudera Search with external applications
Improve the Search experience using features such as faceting, highlighting, spelling correction

Course Content:

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

Request More Information

Time Frame: 0-3 Months4-12 Months

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