APP156
Data Science/Big Data Data Science/Big Data Big Data NoSQL

Complete Apache Pulsar Training - Messaging & Stream Processing

Master Apache Pulsar from setup to advanced implementation through our detailed course. Learn about its architecture, stream processing capabilities, SQL integration, security features, and much more. Enroll now to harness the full potential of this powerful distributed messaging system.

beginner
Apache Pulsar
We price match

Public Pricing

MYR 7000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 26000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 10000 ++

Features

4 days
32 modules
Full life-time access
English
Technical: 25 pax

Target Audience

students
engineers

Methodologies

lecture
slides
labs
case studies
group assignment
q&A

Subsidies

HRDC Claimable logo

What you'll learn

  • Understand the fundamentals of messaging systems and Apache Pulsar.
  • Explore subscription models and message delivery semantics in Pulsar.
  • Monitor and optimize the performance of Pulsar systems.
  • Integrate SQL queries with Pulsar streams for real-time analytics.
  • Configure and manage Apache Pulsar for both standalone and clustered environments.
  • Implement robust security measures including authentication and encryption.
  • Learn how to set up Apache Pulsar using Docker and binary methods.
  • Develop stream processing applications using Pulsar Functions.

Why should you attend?

This course offers a comprehensive exploration into Apache Pulsar, starting with the basics of messaging systems and moving through to advanced configurations and integrations. Participants will first gain foundational knowledge about what messaging systems are and why they are crucial for modern data handling and real-time applications. They will then delve into specifics of Apache Pulsar, understanding its unique architecture which includes components like Brokers, Bookies, ZooKeeper, and Clients. As the course progresses, learners will explore various subscription models in Pulsar such as Exclusive, Shared, and Failover, and understand different message delivery semantics. Setting up Apache Pulsar using Docker and binary methods for both standalone and clustered deployments forms a practical part of the learning. The curriculum also covers configuration management in detail, emphasizing broker settings, security configurations, and best practices to ensure optimal operation. Advanced topics include stream processing with Pulsar Functions, SQL support for real-time analytics, geo-replication, disaster recovery strategies, and monitoring system performance. Security features of Pulsar such as authentication, authorization, TLS, encryption are thoroughly discussed to equip participants with the knowledge to manage secure messaging environments. The course concludes with deep dives into Pulsar's integration capabilities with other systems like Apache Kafka and building robust data pipelines.

Course Syllabus

Day 1 - Pulsar Fundamentals and Architecture
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 - Setup and Basic 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
Day 3 - Advanced Features and Processing
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3
Day 4 - Production and Integration
Module 25
Module 26
Short Break
15 mins
Module 27
Module 28
Recap and Q&A
15 mins
Lunch
1 hour
Module 29
Module 30
Short Break
15 mins
Module 31
Module 32
Recap and Q&A
15 mins
End of Day 4

Instructor

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.
8 Students
108 Courses
18 Years

Instructor Reviews

ML

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

MO
Michael Ogheneme
3 years ago

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

AJ
Amin Jula
3 years ago

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

KO
Kennedy Okonkwo
3 years ago

FAQ

Frequently Asked Questions About This Course

Why should you attend?

This course offers a comprehensive exploration into Apache Pulsar, starting with the basics of messaging systems and moving through to advanced configurations and integrations. Participants will first gain foundational knowledge about what messaging systems are and why they are crucial for modern data handling and real-time applications. They will then delve into specifics of Apache Pulsar, understanding its unique architecture which includes components like Brokers, Bookies, ZooKeeper, and Clients. As the course progresses, learners will explore various subscription models in Pulsar such as Exclusive, Shared, and Failover, and understand different message delivery semantics. Setting up Apache Pulsar using Docker and binary methods for both standalone and clustered deployments forms a practical part of the learning. The curriculum also covers configuration management in detail, emphasizing broker settings, security configurations, and best practices to ensure optimal operation. Advanced topics include stream processing with Pulsar Functions, SQL support for real-time analytics, geo-replication, disaster recovery strategies, and monitoring system performance. Security features of Pulsar such as authentication, authorization, TLS, encryption are thoroughly discussed to equip participants with the knowledge to manage secure messaging environments. The course concludes with deep dives into Pulsar's integration capabilities with other systems like Apache Kafka and building robust data pipelines.

What you'll learn

  • Understand the fundamentals of messaging systems and Apache Pulsar.
  • Explore subscription models and message delivery semantics in Pulsar.
  • Monitor and optimize the performance of Pulsar systems.
  • Integrate SQL queries with Pulsar streams for real-time analytics.
  • Configure and manage Apache Pulsar for both standalone and clustered environments.
  • Implement robust security measures including authentication and encryption.
  • Learn how to set up Apache Pulsar using Docker and binary methods.
  • Develop stream processing applications using Pulsar Functions.

Course Syllabus

Day 1 - Pulsar Fundamentals and Architecture
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 - Setup and Basic 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
Day 3 - Advanced Features and Processing
Module 17
Module 18
Short Break
15 mins
Module 19
Module 20
Recap and Q&A
15 mins
Lunch
1 hour
Module 21
Module 22
Short Break
15 mins
Module 23
Module 24
Recap and Q&A
15 mins
End of Day 3
Day 4 - Production and Integration
Module 25
Module 26
Short Break
15 mins
Module 27
Module 28
Recap and Q&A
15 mins
Lunch
1 hour
Module 29
Module 30
Short Break
15 mins
Module 31
Module 32
Recap and Q&A
15 mins
End of Day 4

Instructor Reviews

ML

Mohammad Mehdi Lotfinejad

Chief Data Officer & Data Science Trainer

"Mehdi and I worked on several projects with company such as Petronas , Shell and CIMB Regional ETC. I must say Mehdi's training was highly appreciated by our clients as he was able to exhibit in full display his vast knowledge as a Data professional. I would highly recommend him to anyone looking for a top tier training expert."

MO
Michael Ogheneme
3 years ago

"Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly."

AJ
Amin Jula
3 years ago

"I had the pleasure of working with Mehdi together on some high-level initiatives such as the Petronas data scientist program and Shell's project to become a data-driven organization. During these projects, Mehdi received numerous accolades for his ability to share his knowledge and mentor up-and-coming data scientists. Based on our shared experiences, I have no hesitation in recommending Mehdi for any project or position he may be considered for."

KO
Kennedy Okonkwo
3 years ago
We price match

Public Pricing

MYR 7000

Corporate Pricing

Pax:

Training Fees: MYR 6500/day
Total Fees: MYR 26000 ++

Training Provider Pricing

Pax:

Training Fees: MYR 2400/day
Material Fees: MYR 400
Total Fees: MYR 10000 ++

Features

4 days
32 modules
Full life-time access
English
Technical: 25 pax

Target Audience

students
engineers

Methodologies

lecture
slides
labs
case studies
group assignment
q&A

Subsidies

HRDC Claimable logo

Instructor

Loading...
Mohammad Mehdi Lotfinejad Chief Data Officer & Data Science Trainer
Trainer Profile
Trainer Profile
TTT Certificate
TTT Certificate
Mohammad Mehdi Lotfinejad is a distinguished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science training. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, he leads the development of sophisticated graph databases, data warehouses, and API solutions that power AI-driven legal case analysis systems. His expertise spans the entire data ecosystem, from architecture design to workflow automation and team leadership. With a robust background encompassing more than a decade of hands-on experience in data engineering and data science, Mohammad has successfully implemented enterprise-scale data processing pipelines across multiple industries and geographies. His professional journey includes senior roles at Axiata Digital Advertising (ADA) in Malaysia, where he designed and deployed data pipelines using AWS Redshift, Snowflake, Apache Spark, and Apache Airflow, and at The Center of Applied Data Science, where he led teams delivering training solutions to major corporations including CIMB, PETRONAS, SHELL, and TNB. Mohammad's technical proficiency is comprehensive and current, encompassing cloud platforms (AWS, Google Cloud), data warehousing solutions (Redshift, Snowflake), big data technologies (Apache Spark, Hadoop, Hive), workflow orchestration (Apache Airflow), and multiple database systems (MySQL, PostgreSQL, MongoDB). He holds a Harvard Business School certification in Business Analytics and multiple AWS certifications, including specialized credentials in Big Data, Data Warehousing, and Practical Data Science with Amazon SageMaker. As an educator, Mohammad brings exceptional depth to his training delivery. His academic career includes faculty positions at Payame Noor University and Islamic Azad University, where he served in leadership roles including Chancellor and Department Head. He has authored three technical books and published numerous peer-reviewed papers in international journals. His teaching repertoire covers data engineering, data science, machine learning, software development, and computer architecture, delivered through engaging, hands-on methodologies that bridge theoretical concepts with practical industry applications. Mohammad's unique combination of executive leadership, technical expertise, and proven training capabilities makes him an invaluable resource for organizations seeking to develop their data science and engineering capabilities. His ability to translate complex technical concepts into actionable learning outcomes, coupled with his extensive real-world implementation experience, ensures that training participants gain immediately applicable skills that drive business value.
8 Students
108 Courses
18 Years

FAQ

Frequently Asked Questions About This Course

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