Sold by: The Campus
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.
IMPORTANT: The Campus is not authorized to deliver AWS training outside of Europe. We apologize for the inconvenience.
Sold by: The Campus
Overview
Course Objectives
In this course, you will learn to:
- Compare the features and benefits of data warehouses, data lakes, and modern data architectures
- Design and implement a batch data analytics solution
- Identify and apply appropriate techniques, including compression, to optimize data storage
- Select and deploy appropriate options to ingest, transform, and store data
- Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
- Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
- Secure data at rest and in transit
- Monitor analytics workloads to identify and remediate problems
- Apply cost management best practices
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
Course Content
- 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 Apache 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 AWS
You can find more information about this training on our website .
Highlights
- This course is intended for data platform engineers and architects and operators who build and manage data analytics pipelines.
- You can enroll for one of the available training dates on our website, or we can organize this training for your company upon request.
Details
Pricing
Custom pricing options
Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.
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Still have questions? Don't hesitate to contact us for more information.
Email: hello@thecampus.be Phone: +32 472 58 74 86 (you'll reach Joy Buelens, our Managing Partner)