Hadoop Training
Level
IntermediateDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedHadoop Training
The Hadoop Training is an intensive two-day course focused on the practical application of this popular framework for processing and analyzing large datasets. The training program is designed so that participants gain solid theoretical foundations (20%) and develop practical skills (80%) through numerous workshops and projects. The course is ideal for those who want to understand and utilize Hadoop in their projects.
What You Will Learn
- How to effectively manage data in HDFS and create MapReduce tasks.
- How to process and analyze data using Hive and Pig.
- How to optimize MapReduce tasks and manage Hadoop resources.
- How to deploy and monitor Hadoop applications in a production environment.
Required Technical Skills
- Basic knowledge of programming in Java or Python.
- Basic understanding of data processing.
- Ability to work in a Unix/Linux environment.
Who is this training for?
Developers and data engineers who want to expand their skills with Hadoop.-
Data scientists and data analysts aiming to process large datasets efficiently.
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IT and big data specialists who want to leverage Hadoop in their projects.
Training Program
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Day 1: Basics of Hadoop and Data Processing
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Hadoop Architecture
- Overview of main Hadoop components: HDFS, MapReduce, YARN
- Interaction between components
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Basics of HDFS and MapReduce
- Managing files in HDFS
- Creating and running basic MapReduce tasks
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Introduction to Apache Hive and Apache Pig
- Hive: table structure and SQL queries
- Analyzing file structure for Hive
- Pig: introduction to Pig Latin scripts
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Workshop: Data Processing with MapReduce
- Implementing a simple MapReduce task
- Analyzing results and optimizing the task
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Day 2: Advanced Techniques and Practical Applications
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Advanced Data Processing
- Writing advanced Hive queries
- Creating complex Pig scripts
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Optimization and Performance Tuning
- Techniques for optimizing MapReduce tasks
- Managing resources in a Hadoop cluster
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Workshop: Data Analysis with Hive and Pig
- Implementing Hive queries on real datasets
- Creating Pig scripts for data processing
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Deploying and Managing Hadoop Clusters
- Preparing and deploying Hadoop applications
- Monitoring and managing Hadoop clusters in production
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Cost Optimization
- Controlling and optimizing costs associated with Hadoop data processing
