Building Batch Data Analytics Solutions on AWS
In this AWS course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.
11 courses found
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- Delivery Format: Virtual Learning
- Date 23 January, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 13 February, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 17 April, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: French
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- Delivery Format: Virtual Learning
- Date 24 April, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 26 June, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 17 July, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 18 September, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 16 October, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: French
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- Delivery Format: Virtual Learning
- Date 30 October, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: English
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- Delivery Format: Virtual Learning
- Date 27 November, 2026 | 9:30 AM to 5:30 PM
- Location: Virtual (W. Europe )
- Language: English
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