Overview of Course

Learn Impala with Skillzcafe's comprehensive Impala Training course. This course will provide you with in-depth knowledge and practical skills to use Impala in a Hadoop ecosystem. You will be able to work with large data sets and perform real-time queries on Hadoop with Impala.

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Course Highlights

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Comprehensive coverage of Impala

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Hands-on experience with Impala

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Real-world use cases

Key Differentiators

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    Training curriculum to meet the unique needs of each individual

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    Flexible Schedule & Delivery

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    Real-world Projects

    We work with experts to curate real business scenarios as training projects

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Skills You’ll Learn


How to use Impala in Hadoop ecosystem


How to work with real-time queries


Impala architecture and optimization techniques


Managing and manipulating data in Impala


Understanding of Hadoop ecosystem and its components

Training Options

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1-on-1 Training

On Request
  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request
  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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  • Obtain long-term organizational growth and success.

Course Reviews


  • Course Overview
  • Learning Objectives
  • Prerequisites
  • Course Structure
  • Grading Policy

  • What is Impala?
  • Impala Architecture
  • Impala Use Cases
  • Impala vs Hive

  • Introduction to Hive
  • Hive Architecture
  • Querying with Hive
  • Introduction to Impala Querying
  • Impala Querying Techniques
  • Impala Query Optimization

  • Introduction to Hadoop Distributed File System (HDFS)
  • HDFS Architecture
  • File Formats (ORC, Parquet, Avro, etc.)
  • Data Compression Techniques

  • Impala Installation and Configuration
  • Data Ingestion into Impala
  • Impala Data Manipulation Language (DML)
  • Impala Data Definition Language (DDL)
  • Impala Security and Authentication
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  • RedtickMeet the instructor and learn about the course content and teaching style.
  • RedtickMake informed decisions about whether to enroll in the course or not.
  • RedtickGet a perspective with a glimpse of what the learning process entails.
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Target Audience:

  • Data Analysts
  • Data Scientists
  • Hadoop Developers
  • Big Data Professionals
  • Anyone interested in learning Impala
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  • Basic knowledge of Hadoop
  • Familiarity with SQL
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Benefits of the course:

  • Hands-on experience with Impala
  • Real-world use cases
  • In-depth knowledge of Impala architecture
  • Query optimization techniques
  • Course completion certificate
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Exam details to pass the course:

  • There is no exam to pass the course.
  • The course is designed to provide practical knowledge and skills related to Impala.


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Certification path:

  • After completing the Impala Training course, you will receive a course completion certificate from Skillzcafe.
  • There are no additional certifications required to learn Impala.
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Career options after doing the course:

  • Hadoop Developer
  • Big Data Engineer
  • Data Analyst
  • Data Scientist
  • Impala Developer

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Comprehensive coverage of Impala
  • Bullet Icon Hands-on experience with Impala
  • Bullet Icon Real-world use cases
  • Bullet Icon In-depth knowledge of Impala architecture
  • Bullet Icon Query optimization techniques
  • Bullet Icon Experienced instructors
  • Bullet Icon Course completion certificate


Yes, basic knowledge of Hadoop and familiarity with SQL is required.

Yes, you will receive a course completion certificate after completing the course.

The course is instructor-led.

The duration of the course is 50 hours.

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