Overview of Course

Hive Training is a comprehensive course that provides in-depth knowledge of Apache Hive and Hadoop ecosystem. The course is designed to help learners master the skills required to work with large datasets using Apache Hive.

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Course Highlights

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Understanding of Hadoop and Hive architecture

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Comprehensive coverage of HiveQL and Hive operators

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Hands-on experience with Hive installation and configuration

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Skills You’ll Learn


Understanding of Big Data and Hadoop ecosystem


Working knowledge of Apache Hive


Data modeling and data warehousing concepts


Data manipulation and querying using HiveQL


Knowledge of Hive operators and functions

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 ecosystem
  • Understanding Hadoop distributed file system (HDFS)
  • Introduction to Apache Hive
  • Important Hive modules such as Metastore, Query Processor, and Execution Engine

  • Data encapsulation and abstraction
  • Data analysis techniques
  • Statistical analysis
  • Data visualization

  • Data transformation techniques such as filtering, sorting, and aggregation
  • Data format handling such as CSV, JSON, and XML
  • Data normalization and denormalization

  • Debugging techniques in Hadoop ecosystem
  • Log analysis
  • Data profiling
  • Feature engineering

  • Introduction to cloud computing
  • Cloud data management platforms such as AWS and Azure
  • Data storage and retrieval in the cloud
  • Cloud data security and privacy

  • Training solutions for Hadoop and related technologies
  • Workforce management strategies
  • Onboarding and mentoring of new team members
  • Performance evaluation and career development

  • Data governance policies and standards
  • Compliance and regulatory requirements
  • Security controls for data protection
  • Encryption and access control mechanism
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