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.

updated
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 9600
Material Fees: MYR 400
Total Fees: MYR 10000

Features

4 days
28 modules
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

Day 1 - Pulsar Fundamentals and Architecture
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
Day 2 - Setup and Basic Operations
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
Day 3 - Advanced Features and Processing
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
Day 4 - Production and Integration
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

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

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'

8 Students
70 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
1 year ago
1 year 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
1 year ago
1 year ago

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

review avatar
Kennedy Okonkwo
1 year ago
1 year 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.

FAQs

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
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
Day 2 - Setup and Basic Operations
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
Day 3 - Advanced Features and Processing
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
Day 4 - Production and Integration
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
1 year ago
1 year 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
1 year ago
1 year ago

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

review avatar
Kennedy Okonkwo
1 year ago
1 year 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.

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 9600
Material Fees: MYR 400
Total Fees: MYR 10000

Features

4 days
28 modules
Full life-time access
English

Subsidies

HRDC Claimable logo

Instructor

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

Mohammad Mehdi Lotfinejad is an accomplished Chief Data Officer and certified HRDF trainer with over 15 years of experience in computer science instruction and professional data science/engineering training. He combines extensive academic credentials with deep industry expertise, holding a PhD in Computer Science from Universiti Malaya and Harvard Business School certification in Business Analytics. His comprehensive technical background spans Apache Spark, MySQL, PostgreSQL, MongoDB, Snowflake, Redshift, Apache Airflow, API development, microservices, and Amazon Web Services. Currently serving as Chief Data and Knowledge Officer at Magna.ai, a Florida-based lawtech company, Lotfinejad leads the development of AI-driven legal case analysis systems, architecting graph databases, data warehouses, and workflow engines while ensuring compliance with legal standards. His concurrent role as Senior Data Engineer at AXIATA Digital Advertising (ADA) in Malaysia demonstrates his ability to manage complex, multi-regional data operations across Southeast Asian markets, designing automated pipelines using AWS RedShift, Snowflake, and Google BigQuery. His training expertise was honed during his tenure as Lead Senior Data Scientist Professional Trainer at The Center of Applied Data Science, where he designed and delivered comprehensive training programs for major corporations including CIMB, PETRONAS, SHELL, and TNB. He successfully led teams of data scientists and engineers in developing cutting-edge curriculum and migrating legacy systems to modern data management solutions. His academic foundation includes faculty positions at multiple universities where he taught computer architecture, programming languages, software engineering, and data structures while publishing numerous high-impact research papers and books. Lotfinejad's unique combination of technical leadership, educational expertise, and industry experience makes him exceptionally qualified to deliver sophisticated software training programs. His proven track record of leading cross-functional teams, developing enterprise-level solutions, and translating complex technical concepts into accessible learning materials positions him as an ideal trainer for organizations seeking to advance their technical capabilities in data science, engineering, and modern software development practices.'

8 Students
70 Courses
18 Years

Minimum Qualification

undergraduate

Target Audience

students
entry level
engineers

Methodologies

lecture
slides
case studies
group assignment
labs
q&A

FAQs

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