Overview of Course

The Cloudera Data Analyst Training course is designed to provide the knowledge and skills required to work with complex data sets using the Hadoop ecosystem. The course covers topics such as data analysis, querying, and data processing using tools such as Hive and Pig.

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Course Highlights

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Learn Hadoop concepts and architecture

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Understand data analysis and processing using Hive and Pig

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Explore data warehousing techniques

Key Differentiators

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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


Hadoop concepts and architecture


Data analysis and processing using Hive and Pig


Data warehousing techniques


Real-world project experience

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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Course Reviews


  • Overview of Hadoop and its ecosystem
  • Introduction to Big Data and its challenges
  • Understanding Hadoop's architecture and components

  • Detailed explanation of Hadoop's architecture
  • Hadoop's ecosystem and its components
  • Hadoop's distributed computing model

  • Introduction to HDFS
  • Understanding the HDFS architecture
  • HDFS file operations and management

  • Introduction to MapReduce
  • Understanding MapReduce programming model
  • Developing MapReduce applications in Hadoop

  • Introduction to Hive
  • Hive architecture and data modeling
  • Hive queries and performance optimization

  • Introduction to Pig
  • Pig Latin scripting language
  • Developing Pig applications in Hadoop

  • Introduction to data warehousing
  • Understanding data warehouse architecture
  • Data warehousing tools and techniques

  • Introduction to Flume and Sqoop
  • Flume architecture and data ingestion
  • Sqoop architecture and data integration

  • Applying Hadoop concepts to real-world projects
  • Building end-to-end Big Data solutions
  • Hands-on experience with Cloudera Data Analyst tools
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Target Audience:

  • Data analysts
  • Business analysts
  • Data scientists
  • IT professionals
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  • Basic knowledge of Linux
  • Basic knowledge of SQL
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Benefits of the course:

  • Gain expertise in Hadoop and big data technologies
  • Learn data analysis and processing techniques using Hive and Pig
  • Receive hands-on experience with real-world projects
  • Boost your career prospects with a certificate
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Exam details to pass the course:

  • There is no exam for this course. However, to receive a certificate, you must complete all the course assignments and pass the final project.
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Certification path:

  • There are no specific certification paths associated with this course. However, Cloudera offers various certifications in Hadoop and big data technologies that you may pursue after completing this course.
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Career options after doing the course:

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

Why should you take this course from Skillzcafe:

Why should you take this course from Skillzcafe:
  • Bullet Icon Industry-expert instructors
  • Bullet Icon Hands-on experience with real-world projects
  • Bullet Icon Flexible learning options
  • Bullet Icon Affordable course fees
  • Bullet Icon Certificate upon completion


Yes, this course is suitable for beginners with some basic knowledge of Linux and SQL.

You should have basic knowledge of Linux and SQL.

Yes, you will receive a certificate upon completing all the course assignments and passing the final project.

You can pursue a career as a data analyst, business analyst, data scientist, Hadoop developer, or big data engineer.

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