Big Data Technologies Training in AWS Cloud
Level
AdvancedDuration
24h / 3 daysDate
Individually arrangedPrice
Individually arrangedBig Data Technologies Training in AWS Cloud
We invite you to a comprehensive 3-day training dedicated to IT professionals who want to master advanced Big Data technologies in the Amazon Web Services ecosystem. Our original program combines solid theory with intensive practical workshops, giving participants complete knowledge and skills needed for modern cloud-based data processing.
What You Will Learn
- Comprehensive Big Data architecture in AWS Cloud.
- Practical skills in configuring and managing Big Data services.
- Advanced data processing and analysis techniques at the enterprise scale.
- Secure and efficient design of cloud solutions.
Who is this training for?
Software engineers interested in Big Data technologies.-
System administrators who want to expand their AWS cloud skills.
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Data analysts seeking to learn advanced Big Data processing tools.
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IT specialists planning the digital transformation of their organizations.
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IT and technical students with basic programming knowledge.
Training Program
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Day 1: Introduction to Big Data in AWS
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Module 1: AWS Cloud Fundamentals and the Big Data Ecosystem
- Architecture of AWS services for data processing
- Configuring the development environment and secure access rules
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Module 2: Amazon S3 as the Foundation of Data Storage
- Advanced strategies for managing data in Amazon S3
- Optimizing storage and transfer of large datasets
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Module 3: Workshop – First Steps with AWS Big Data
- Uploading, managing, and categorizing data
- Implementing basic Big Data processing scenarios
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Day 2: Advanced Data Processing Tools
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Module 1: Amazon EMR (Elastic MapReduce)
- Configuring compute clusters for Big Data workloads
- Performance optimization and resource management
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Module 2: Apache Spark in the AWS Ecosystem
- Practical data processing with Apache Spark
- Parallel processing techniques for large-scale analytics
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Module 3: Workshop – Advanced Data Processing
- Building ETL (Extract, Transform, Load) pipelines
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Day 3: Analytics, Security, and Monitoring
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Module 1: Amazon Redshift and Analytical Tools
- Designing efficient data warehouses
- Advanced queries and performance optimization
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Module 2: Security and Monitoring of Big Data Infrastructure
- Implementing advanced AWS security mechanisms
- Monitoring and logging tools for Big Data infrastructure
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Module 3: Final Workshop – Comprehensive Big Data Project
- Building a final project integrating learned technologies
- Presentation and evaluation of solutions by instructors
