Hadoop Administration
Master the art of Hadoop administration with our expertly crafted training program. Gain unparalleled insights into managing complex data ecosystems under the guidance of industry leaders. Enroll now to elevate your skills in deploying, securing, and optimizing Hadoop clusters across diverse environments.
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Corporate Pricing
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Training Provider Pricing
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Features
Subsidies
What you'll learn
- Learn data ingestion techniques using Sqoop and Flume.
- Gain proficiency in HDFS operations including file read/write processes.
- Plan and deploy efficient Hadoop clusters tailored for large datasets.
- Develop expertise in cloud-based Hadoop deployments on AWS, Azure, and Google Cloud.
- Understand the fundamentals of Big Data challenges and Hadoop architecture.
- Optimize resource management through YARN architecture understanding.
- Implement security measures such as Kerberos authentication within Hadoop clusters.
- Integrate ecosystem tools like Hive and Pig for enhanced data processing capabilities.
Why should you attend?
This course provides a comprehensive exploration of Hadoop administration, designed to equip participants with the skills needed to manage and optimize Hadoop clusters effectively. Beginning with an introduction to Big Data challenges and the Hadoop ecosystem, learners will gain foundational knowledge in setting up a single-node cluster. The course delves into the architecture and operations of the Hadoop Distributed File System (HDFS), covering critical concepts such as block replication and rack awareness. Participants will explore various data ingestion techniques using tools like Sqoop and Flume, enabling seamless integration of diverse data sources into HDFS. Security is a key focus, with modules on Kerberos authentication and HDFS permissions ensuring that learners can secure their clusters against unauthorized access. The curriculum also covers essential aspects of cluster planning and deployment, including hardware selection and network design. Advanced topics include YARN architecture for resource management, configuration file optimization, and resource scheduling strategies. Learners will engage in hands-on exercises to reinforce their understanding, such as simulating NameNode failover for high availability and configuring schedulers for service level agreements (SLAs). The course concludes with cloud-based Hadoop administration best practices, offering insights into deploying Hadoop on platforms like AWS EMR, Azure HDInsight, and Google Cloud Dataproc. Throughout the course, participants will benefit from practical labs that simulate real-world scenarios, preparing them to tackle complex challenges in both on-premises and cloud environments. By the end of this training program, learners will be well-equipped to administer robust Hadoop ecosystems efficiently.
Course Syllabus
Day 1 - Hadoop Fundamentals & Setup
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - YARN & Configuration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Security & High Availability
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - Cloud Hadoop Administration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Ratings and Reviews
Instructor
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.'
Instructor Reviews
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.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
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
Courses you may like
Why should you attend?
This course provides a comprehensive exploration of Hadoop administration, designed to equip participants with the skills needed to manage and optimize Hadoop clusters effectively. Beginning with an introduction to Big Data challenges and the Hadoop ecosystem, learners will gain foundational knowledge in setting up a single-node cluster. The course delves into the architecture and operations of the Hadoop Distributed File System (HDFS), covering critical concepts such as block replication and rack awareness. Participants will explore various data ingestion techniques using tools like Sqoop and Flume, enabling seamless integration of diverse data sources into HDFS. Security is a key focus, with modules on Kerberos authentication and HDFS permissions ensuring that learners can secure their clusters against unauthorized access. The curriculum also covers essential aspects of cluster planning and deployment, including hardware selection and network design. Advanced topics include YARN architecture for resource management, configuration file optimization, and resource scheduling strategies. Learners will engage in hands-on exercises to reinforce their understanding, such as simulating NameNode failover for high availability and configuring schedulers for service level agreements (SLAs). The course concludes with cloud-based Hadoop administration best practices, offering insights into deploying Hadoop on platforms like AWS EMR, Azure HDInsight, and Google Cloud Dataproc. Throughout the course, participants will benefit from practical labs that simulate real-world scenarios, preparing them to tackle complex challenges in both on-premises and cloud environments. By the end of this training program, learners will be well-equipped to administer robust Hadoop ecosystems efficiently.
What you'll learn
- Learn data ingestion techniques using Sqoop and Flume.
- Gain proficiency in HDFS operations including file read/write processes.
- Plan and deploy efficient Hadoop clusters tailored for large datasets.
- Develop expertise in cloud-based Hadoop deployments on AWS, Azure, and Google Cloud.
- Understand the fundamentals of Big Data challenges and Hadoop architecture.
- Optimize resource management through YARN architecture understanding.
- Implement security measures such as Kerberos authentication within Hadoop clusters.
- Integrate ecosystem tools like Hive and Pig for enhanced data processing capabilities.
Course Syllabus
Day 1 - Hadoop Fundamentals & Setup
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 1
Day 2 - YARN & Configuration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 2
Day 3 - Security & High Availability
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 3
Day 4 - Cloud Hadoop Administration
Short Break
15 minsShort Break
15 minsRecap and Q&A
15 minsLunch
1 hourShort Break
15 minsShort Break
15 minsShort Break
15 minsRecap and Q&A
15 minsEnd of Day 4
Instructor Reviews
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.
Not only knowledgeable but also having hands dirty on what he knows Friendly and building networks quickly.
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.
Public Pricing
Corporate Pricing
Pax:
Training Provider Pricing
Pax:
Features
Subsidies
Ratings and Reviews
Instructor
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.'
FAQs
Courses you may like
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