HAH269
Data Science/Big Data Data Science/Big Data Big Data NoSQL

Apache Hive and HQL Training - Big Data Processing Mastery

Master Hive Query Language with our targeted training program. Learn to process big data effectively using HQL's powerful features for data management and analysis. Enroll now to harness industry-leading expertise in leveraging Hive for complex data challenges.

Face-to-Face Aug 12-13, 2026 9:00 AM - 5:00 PM Habil Hadi Mohammed
updated
beginner
Hive and HQL
We price match

Public Pricing

MYR 3500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 5200 ++

Features

2 days
16 modules
7 intakes
English
Technical: 25 pax

Target Audience

students
engineers
managers
executives

Methodologies

lecture
slides
labs
case studies
group discussion

Subsidies

HRDC Claimable logo

What you'll learn

  • Design efficient schemas with partitioning and bucketing strategies
  • Optimize Hive queries for improved performance
  • Leverage AWS services for deploying and managing Hive
  • Understand the fundamentals of Hadoop, MapReduce, and Hive
  • Master the creation and manipulation of tables using HQL
  • Learn about different data types in Hive and their use cases
  • Perform complex queries using filtering, joining, and aggregation
  • Integrate security measures within a Hive environment

Why should you attend?

Dive into the world of big data processing with Hive, a data warehouse infrastructure built atop Apache Hadoop for providing data summarization, query, and analysis. This course offers a deep dive into the intricacies of managing and manipulating large datasets using Hive Query Language (HQL). Starting with an introduction to the Hadoop ecosystem, you will gain insights into MapReduce, the framework for processing vast amounts of data in parallel across clusters. ' ' You'll explore Hive's role in this system, learning how to interact with data through the Hive Command Line Interface (CLI). As you progress, you'll master various data types and file formats that Hive supports and understand the concept of schema on read. The course also covers detailed aspects of HQL, including data definition operations like creating databases and tables (both managed and external), as well as advanced manipulations such as querying, casting, sampling, and unions. ' ' Further enhancing your skillset, you will learn about views for simplifying queries and indexes to optimize search. Schema design principles like partitioning and bucketing are discussed to structure your data efficiently. Performance tuning techniques will help you optimize query execution times. Additionally, the course touches upon integrating Hive with cloud services like AWS EMR and addresses security measures within Hive. Real-world case studies provide practical insights into applying what you've learned in actual scenarios.

Course Syllabus

Day 1 - Hive Fundamentals and HQL
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - Advanced Hive Operations
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2

Instructor

Loading...
Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
Trainer Profile
Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.
120 Courses
English
9 Years

FAQ

Frequently Asked Questions About This Course

Why should you attend?

Dive into the world of big data processing with Hive, a data warehouse infrastructure built atop Apache Hadoop for providing data summarization, query, and analysis. This course offers a deep dive into the intricacies of managing and manipulating large datasets using Hive Query Language (HQL). Starting with an introduction to the Hadoop ecosystem, you will gain insights into MapReduce, the framework for processing vast amounts of data in parallel across clusters. ' ' You'll explore Hive's role in this system, learning how to interact with data through the Hive Command Line Interface (CLI). As you progress, you'll master various data types and file formats that Hive supports and understand the concept of schema on read. The course also covers detailed aspects of HQL, including data definition operations like creating databases and tables (both managed and external), as well as advanced manipulations such as querying, casting, sampling, and unions. ' ' Further enhancing your skillset, you will learn about views for simplifying queries and indexes to optimize search. Schema design principles like partitioning and bucketing are discussed to structure your data efficiently. Performance tuning techniques will help you optimize query execution times. Additionally, the course touches upon integrating Hive with cloud services like AWS EMR and addresses security measures within Hive. Real-world case studies provide practical insights into applying what you've learned in actual scenarios.

What you'll learn

  • Design efficient schemas with partitioning and bucketing strategies
  • Optimize Hive queries for improved performance
  • Leverage AWS services for deploying and managing Hive
  • Understand the fundamentals of Hadoop, MapReduce, and Hive
  • Master the creation and manipulation of tables using HQL
  • Learn about different data types in Hive and their use cases
  • Perform complex queries using filtering, joining, and aggregation
  • Integrate security measures within a Hive environment

Course Syllabus

Day 1 - Hive Fundamentals and HQL
Module 1
Module 2
Short Break
15 mins
Module 3
Module 4
Recap and Q&A
15 mins
Lunch
1 hour
Module 5
Module 6
Short Break
15 mins
Module 7
Module 8
Recap and Q&A
15 mins
End of Day 1
Day 2 - Advanced Hive Operations
Module 9
Module 10
Short Break
15 mins
Module 11
Module 12
Recap and Q&A
15 mins
Lunch
1 hour
Module 13
Module 14
Short Break
15 mins
Module 15
Module 16
Recap and Q&A
15 mins
End of Day 2
We price match

Public Pricing

MYR 3500

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 13000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 5200 ++

Features

2 days
16 modules
7 intakes
English
Technical: 25 pax

Target Audience

students
engineers
managers
executives

Methodologies

lecture
slides
labs
case studies
group discussion

Subsidies

HRDC Claimable logo

Instructor

Loading...
Habil Hadi Mohammed Additive Manufacturing & 3D Printing Specialist
Trainer Profile
Trainer Profile
Habil Hadi Mohammed is a highly skilled Mechanical Engineer and Research Fellow specializing in advanced manufacturing technologies, with particular expertise in additive manufacturing, 3D printing, and functionally graded materials (FGM). Currently pursuing his PhD in Biomedical Engineering at Universiti Putra Malaysia (UPM), he combines strong academic credentials with practical engineering experience to deliver innovative solutions across multiple industries. With a Master's degree in Manufacturing Systems Engineering (CGPA 3.81/4) and a Bachelor's in Mechanical Engineering, Habil has established himself as an expert in the rapidly evolving field of additive manufacturing. His research focuses on cutting-edge topics including multi-material 3D printing, material extrusion processes, and surface finishing techniques for FDM printed parts. His work has been recognized at international conferences in Slovenia, Malaysia, and Hong Kong, where he has presented papers on FGM implementation and material flow control in additive manufacturing. As a Research Fellow at UPM since 2021, Habil has demonstrated exceptional capabilities in software development, automation, and prototype design. He has successfully developed software for multi-material FGM 3D printers, designed automated sports equipment, and created hydroponic plant systems. His current role as a Developer Engineer for an international Swiss company showcases his ability to bridge theoretical knowledge with practical application, where he designs, programs, and develops machines using both 3D printing and conventional manufacturing techniques. Habil's technical proficiency spans multiple programming languages including Python, C/C++, Arduino, XCode, and Swift, complemented by expertise in CAD software such as AutoCAD, Fusion360, ANSYS, and SolidWorks. His analytical skills are enhanced by proficiency in data analysis tools including Minitab, SPSS, and Python. Beyond technical skills, his management experience as an Area Manager demonstrates strong leadership abilities, having successfully doubled sales through strategic planning and employee training. Multilingual and culturally adaptable, Habil brings a unique global perspective to engineering challenges, making him an invaluable asset for organizations seeking innovation in manufacturing technology and engineering education.
120 Courses
English
9 Years

FAQ

Frequently Asked Questions About This Course

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