Training: AWS EMR
Level
IntermediateDuration
8h / 1 dayDate
Individually arrangedPrice
Individually arrangedTraining: AWS EMR
Amazon EMR (Elastic MapReduce) is a cloud-based platform for processing and analyzing large datasets, delivered by Amazon Web Services (AWS). It is designed to simplify and optimize the process of handling big data, particularly for tasks such as data processing, transformation, analysis, and machine learning. Amazon EMR helps organizations leverage the power of data-processing frameworks such as Apache Hadoop, Apache Spark, Apache Hive, Apache HBase, and more.
What will you learn?
- By completing this training, you will gain the skills to effectively use Amazon EMR for processing and analyzing large datasets and for building cloud-based data processing solutions.
Who is this training for?
Data engineers working with data collection, processing, and analysis-
Data analysts focused on analyzing and extracting insights from large datasets
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Developers interested in building applications and scripts on top of EMR
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Cloud infrastructure managers responsible for configuring and managing EMR clusters
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Project managers involved in data processing and analytics initiatives
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Anyone interested in learning how to process data in the cloud
Training Program
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Introduction to Amazon EMR
- Architecture overview and common use cases
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Creating EMR Clusters
- Best practices for security
- Cost optimization strategies
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EMR Serverless
- Working with serverless distributed clusters
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Connecting and Working with EMR
- Connecting to EMR using the EMR Studio interface
- Sharing cluster resources among multiple users
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Security in EMR
- Authentication, authorization, and data protection mechanisms
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Scalable Analytics with EMR
- Designing and running scalable analytics workloads
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Orchestration of Distributed Tasks
- Integrating EMR with orchestration services (e.g., AWS Step Functions)
