Apache Pulsar

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.

Face-to-Face May 5, 2025 - May 8, 2025
updated
beginner
Apache Pulsar
MYR 7000

Training Provider Pricing

Material Fees: MYR 400

Pax:

MYR 9600

Features

4 days (9:00 AM - 5:00 PM)
28 modules
6 intakes
Full life-time access
English

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

Understanding Messaging Systems
Overview of Apache Pulsar
Key Features and Advantages Over Other Systems
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 3
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 4

Instructor

Mohammad Mehdi Lotfinejad
Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer Teaching

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer with a profound expertise in data science and engineering, amassing over ten years of experience in developing data processing pipelines for enterprise insights. He is a proven leader with exceptional communication, presentation, and leadership skills, certified as an HRDF trainer with more than 15 years of experience as a computer science instructor both in academia and as a professional data science/engineering trainer in the industry. His academic credentials include a PhD in Computer Science from Universiti Malaya, Malaysia, and he holds certifications from Harvard Business School in Business Analytics. Mohammad specializes in cutting-edge technologies such as Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API and Microservices, and Amazon Web Services. Currently serving as the Chief Data and Knowledge Officer at Magna.ai since February 2024, Mohammad leads the development of graph databases and data warehouses to support AI-driven law case analysis services. He architects robust API and microservice solutions to enhance system interoperability and scalability while ensuring data security and compliance with legal standards. Prior to this role, he has been contributing his expertise as a Senior Data Engineer at AXIATA Digital Advertising (ADA) since March 2020. Here, he collaborates on designing automated data pipelines using AWS RedShift and Snowflake for storing telco data and implements BI dashboards leveraging Google BigQuery. From June 2018 to February 2020, Mohammad was the Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science in Kuala Lumpur. He led teams of data scientists and engineers to design professional training programs for prominent clients like CIMB, PETRONAS, SHELL, and TNB. His earlier roles include leading big data engineering teams at RAHA in Iran where he developed large-scale analytics pipelines using Hadoop Ecosystem tools like Hive and Spark. In academia, Mohammad served as a faculty member at Payame Noor University from September 2014 to June 2018 where he supervised graduate research projects and contributed significantly to curriculum development. His tenure also includes leadership positions at Islamic Azad University where he managed departments to achieve high academic standards. With technical proficiencies spanning RDBMS like MySQL and PostgreSQL to programming languages such as Python and C++, Mohammad is adept at web design using HTML/CSS/Bootstrap alongside project management skills including Scrum Master certification. His published works include books on Object-Oriented Programming and Project Management Fundamentals along with numerous journal articles on topics ranging from solar radiation prediction models to machine learning algorithms for intrusion detection systems.

2 Students
56 Courses
18 Years

Minimum Qualification

undergraduate

Target Audience

students
entry level
engineers

Methodologies

lecture
slides
case studies
group assignment
labs
q&A

Instructor Reviews

Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer
review avatar
Michael Ogheneme
12 months ago
12 months ago

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.

review avatar
Amin Jula
12 months ago
12 months ago

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

review avatar
Kennedy Okonkwo
12 months ago
12 months 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.

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

Understanding Messaging Systems
Overview of Apache Pulsar
Key Features and Advantages Over Other Systems
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 3
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 4

Instructor Reviews

Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer
review avatar
Michael Ogheneme
12 months ago
12 months ago

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.

review avatar
Amin Jula
12 months ago
12 months ago

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

review avatar
Kennedy Okonkwo
12 months ago
12 months 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.

MYR 7000

Training Provider Pricing

Material Fees: MYR 400

Pax:

MYR 9600

Features

4 days (9:00 AM - 5:00 PM)
28 modules
6 intakes
Full life-time access
English

Subsidies

HRDC Claimable logo

Instructor

Mohammad Mehdi Lotfinejad
Mohammad Mehdi Lotfinejad Certified Data Science Trainer and Data Engineer Teaching

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer with a profound expertise in data science and engineering, amassing over ten years of experience in developing data processing pipelines for enterprise insights. He is a proven leader with exceptional communication, presentation, and leadership skills, certified as an HRDF trainer with more than 15 years of experience as a computer science instructor both in academia and as a professional data science/engineering trainer in the industry. His academic credentials include a PhD in Computer Science from Universiti Malaya, Malaysia, and he holds certifications from Harvard Business School in Business Analytics. Mohammad specializes in cutting-edge technologies such as Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API and Microservices, and Amazon Web Services. Currently serving as the Chief Data and Knowledge Officer at Magna.ai since February 2024, Mohammad leads the development of graph databases and data warehouses to support AI-driven law case analysis services. He architects robust API and microservice solutions to enhance system interoperability and scalability while ensuring data security and compliance with legal standards. Prior to this role, he has been contributing his expertise as a Senior Data Engineer at AXIATA Digital Advertising (ADA) since March 2020. Here, he collaborates on designing automated data pipelines using AWS RedShift and Snowflake for storing telco data and implements BI dashboards leveraging Google BigQuery. From June 2018 to February 2020, Mohammad was the Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science in Kuala Lumpur. He led teams of data scientists and engineers to design professional training programs for prominent clients like CIMB, PETRONAS, SHELL, and TNB. His earlier roles include leading big data engineering teams at RAHA in Iran where he developed large-scale analytics pipelines using Hadoop Ecosystem tools like Hive and Spark. In academia, Mohammad served as a faculty member at Payame Noor University from September 2014 to June 2018 where he supervised graduate research projects and contributed significantly to curriculum development. His tenure also includes leadership positions at Islamic Azad University where he managed departments to achieve high academic standards. With technical proficiencies spanning RDBMS like MySQL and PostgreSQL to programming languages such as Python and C++, Mohammad is adept at web design using HTML/CSS/Bootstrap alongside project management skills including Scrum Master certification. His published works include books on Object-Oriented Programming and Project Management Fundamentals along with numerous journal articles on topics ranging from solar radiation prediction models to machine learning algorithms for intrusion detection systems.

2 Students
56 Courses
18 Years

Minimum Qualification

undergraduate

Target Audience

students
entry level
engineers

Methodologies

lecture
slides
case studies
group assignment
labs
q&A
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