AMA17 – Building Batch Data Analytics Solutions on AWS

Course description

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.

Activities

This course includes presentations, interactive demos, practice labs, discussions, and class exercises.

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

Intended audience

This course is intended for:
Data platform engineers
Architects and operators who build and manage data analytics pipelines

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

Enroll today

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