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

#1

Understanding of Big Data and Hadoop ecosystem

#2

Working knowledge of Apache Hive

#3

Data modeling and data warehousing concepts

#4

Data manipulation and querying using HiveQL

#5

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

Curriculum

  • 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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