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Cloudera Data Analyst Training for Apache Hadoop

  • Overview

    This training course will teach students how to create robust data processing applications using Apache Hadoop. Students will learn debugging, Hadoop development, and implementation of workflows and common algorithms. Students will also learn how to leverage Hive, Sqoop, Oozie, Flume, Pig, and other Hadoop ecosystem projects.

    Audience: This course will be best suited for developers and engineers who have programming experience.

    Course Objectives

    • Interact with Pig
    • View the Schema
    • Filter and Sorting Data
    • Iterate Grouped Data
    • Use Hadoop’s Web UI
    • Comprehend about Schema and Data Storage
    • Use Hue to Execute Queries
    • Simplify Queries with Views
    • Choose a File Format
    • Manage Metadata
    • Control Access to Data
    • Comprehend Complex Values in Hive
    • Use Regular Expressions in Hive
    • Comprehend Sentiment Analysis and N-Grams
    • Understand Query Performance

    Course Content / Exam(s)

    Schedule for Cloudera Data Analyst Training for Apache Hadoop
    Course Regular Track
    (days)
    Cloudera Data Analyst Training for Apache Hadoop 4
    Total 4
    Prerequisites
    • This course is designed for data analysts, business intelligence specialists, developers, system architects, and database administrators. Knowledge of SQL is assumed, as is basic Linux command-line familiarity.
    • Knowledge of at least one scripting language (e.g., Bash scripting, Perl, Python, Ruby) would be helpful but is not essential.
    • Prior knowledge of Apache Hadoop is not required.
    Recommended Courses and Certification:
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  • Schedule & Prices
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    Price includes Official Curriculum.
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