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In this 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.
This course includes presentations, interactive demos, practice labs, discussions, and class exercises.
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Course Contents
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Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Introduction to Amazon EMR
Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
Module 4: Processing and Analyzing Batch Data with Amazon EMR and Hive
Module 5: Serverless Data Processing
Module 6: Security and Monitoring of Amazon EMR Clusters
Module 7: Designing Batch Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWSYou have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.
You will receive the original course documentation by Amazon Web Services in English language as an e-book.
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Target Group
-
This course is intended for:
• Data platform engineers
• Architects and operators who build and manage data analytics pipelinesIndividuals with at least one year of experience managing open source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.
-
Knowledge Prerequisites
-
Students with a minimum one-year experience managing open-source data frameworks such as Apache
Spark or Apache Hadoop will benefit from this course.
We suggest the AWS Hadoop Fundamentals course for those that need a refresher on Apache Hadoop.
We recommend that attendees of this course have:
• Completed either AWS Technical Essentials or Architecting on AWS
• Completed either Building Data Lakes on AWS or Getting Started with AWS Glue
| Module A: Overview of Data Analytics and the Data Pipeline |
| • Data analytics use cases |
| • Using the data pipeline for analytics |
| Module 1: Introduction to Amazon EMR |
| • Using Amazon EMR in analytics solutions |
| • Amazon EMR cluster architecture |
| • Interactive Demo 1: Launching an Amazon EMR cluster |
| • Cost management strategies |
| Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage |
| • Storage optimization with Amazon EMR |
| • Data ingestion techniques |
| Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR |
| • Apache Spark on Amazon EMR use cases |
| • Why Apache Spark on Amazon EMR |
| • Spark concepts |
| • Interactive Demo 2: Interactive analytics using Apache Spark on Amazon EMR |
| • Transformation, processing, and analytics |
| • Using notebooks with Amazon EMR |
| • Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR |
| Module 4: Processing and Analyzing Batch Data with Amazon EMR and Hive |
| • Using Amazon EMR with Hive to process batch data |
| • Transformation, processing, and analytics |
| • Practice Lab 2: Batch data processing using Amazon EMR with Hive |
| • Introduction to HBase on Amazon EMR |
| Module 5: Serverless Data Processing |
| • Serverless data processing, transformation, and analytics |
| • Using AWS Glue with Amazon EMR workloads |
| • Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions |
| Module 6: Security and Monitoring of Amazon EMR Clusters |
| • Securing EMR clusters |
| • Interactive Demo 3: Encrypting data at rest in Amazon EMR |
| • Monitoring and troubleshooting EMR clusters |
| • Demo: Reviewing Apache Spark cluster history |
| • Monitoring and troubleshooting Amazon EMR clusters |
| Module 7: Designing Batch Data Analytics Solutions |
| • Batch data analytics use cases |
| • Activity: Designing a batch data analytics workflow |
| Module B: Developing Modern Data Architectures on AWS |
| • Modern data architectures |
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Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.-
In this 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.
This course includes presentations, interactive demos, practice labs, discussions, and class exercises.
-
Course Contents
-
Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Introduction to Amazon EMR
Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage
Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR
Module 4: Processing and Analyzing Batch Data with Amazon EMR and Hive
Module 5: Serverless Data Processing
Module 6: Security and Monitoring of Amazon EMR Clusters
Module 7: Designing Batch Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWSYou have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.
You will receive the original course documentation by Amazon Web Services in English language as an e-book.
-
Target Group
-
This course is intended for:
• Data platform engineers
• Architects and operators who build and manage data analytics pipelinesIndividuals with at least one year of experience managing open source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.
-
Knowledge Prerequisites
-
Students with a minimum one-year experience managing open-source data frameworks such as Apache
Spark or Apache Hadoop will benefit from this course.
We suggest the AWS Hadoop Fundamentals course for those that need a refresher on Apache Hadoop.
We recommend that attendees of this course have:
• Completed either AWS Technical Essentials or Architecting on AWS
• Completed either Building Data Lakes on AWS or Getting Started with AWS Glue
| Module A: Overview of Data Analytics and the Data Pipeline |
| • Data analytics use cases |
| • Using the data pipeline for analytics |
| Module 1: Introduction to Amazon EMR |
| • Using Amazon EMR in analytics solutions |
| • Amazon EMR cluster architecture |
| • Interactive Demo 1: Launching an Amazon EMR cluster |
| • Cost management strategies |
| Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage |
| • Storage optimization with Amazon EMR |
| • Data ingestion techniques |
| Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR |
| • Apache Spark on Amazon EMR use cases |
| • Why Apache Spark on Amazon EMR |
| • Spark concepts |
| • Interactive Demo 2: Interactive analytics using Apache Spark on Amazon EMR |
| • Transformation, processing, and analytics |
| • Using notebooks with Amazon EMR |
| • Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR |
| Module 4: Processing and Analyzing Batch Data with Amazon EMR and Hive |
| • Using Amazon EMR with Hive to process batch data |
| • Transformation, processing, and analytics |
| • Practice Lab 2: Batch data processing using Amazon EMR with Hive |
| • Introduction to HBase on Amazon EMR |
| Module 5: Serverless Data Processing |
| • Serverless data processing, transformation, and analytics |
| • Using AWS Glue with Amazon EMR workloads |
| • Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions |
| Module 6: Security and Monitoring of Amazon EMR Clusters |
| • Securing EMR clusters |
| • Interactive Demo 3: Encrypting data at rest in Amazon EMR |
| • Monitoring and troubleshooting EMR clusters |
| • Demo: Reviewing Apache Spark cluster history |
| • Monitoring and troubleshooting Amazon EMR clusters |
| Module 7: Designing Batch Data Analytics Solutions |
| • Batch data analytics use cases |
| • Activity: Designing a batch data analytics workflow |
| Module B: Developing Modern Data Architectures on AWS |
| • Modern data architectures |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
You can find the complete description of this course with dates and prices ready for download at as PDF.
Online Training
Trainer language German