Data Analytics
Data Analytics
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The AWS Data Analytics Learning Path teaches you how to transform data into actionable insights using AWS services. It covers AWS services for data processing, storage, and visualization. By the end of this path, you will be able to use AWS services to gain insights from your data.
Training
Introduction to Amazon Kinesis Streams
Fundamental
0 hour 11 minutes
This course will teach you how to use Amazon Kinesis Streams to collect, process, and analyze real-time streaming data for important insights. There will also be an overview of the service components and a brief demonstration.
Free
Training
Introduction to Amazon Kinesis Analytics
Fundamental
0 hour 6 minutes
In this course, you will be introduced to Amazon Kinesis Analytics. This will assist you in querying streaming data or construct entire streaming applications using SQL. You will understand how the service collects, processes and analyzes streaming data in real-time. You will also explore how to use and monitor Amazon Kinesis Analytics and explore use cases.
Free
Training
Amazon EMR Getting Started
Fundamental
1 hour
Course Description Amazon EMR is the industry-leading cloud big data solution for petabyte-scale data processing, interactive analytics, and machine learning using open-source frameworks such as Apache Spark, Apache Hive, and Presto. You can use Amazon EMR to set up, operate, and scale your big data environments and automate time-consuming tasks like provisioning capacity. In this course, you will learn Amazon EMR Serverless which is a new option in Amazon EMR that makes it efficient and cost-effective for data engineers and analysts to run applications built using open-source big data frameworks without having to tune, operate, optimize, secure, or manage clusters. Additionally, you will learn the benefits, typical use cases, and technical concepts of Amazon EMR. You will have an opportunity to try Amazon EMR Serverless and Amazon EMR Cluster through tutorials using the AWS Management Console.
Free
Training
AWS Glue Getting Started
Fundamental
1 hour
AWS Glue is a serverless data integration service that you can use to discover, prepare, and combine data for analytics, machine learning, and application development. In this course, you will learn the benefits, typical use cases, and technical concepts of AWS Glue, including AWS Glue Studio and AWS Glue DataBrew. DataBrew is a new visual data preparation tool that helps data analysts and data scientists clean and normalize data to prepare it for analytics and machine learning. You will have an opportunity to try the service through a demonstration using the AWS Management Console.
Free
Training
Introduction to Amazon Athena
Fundamental
0 hour 10 minutes
Get familiar with the Amazon Athena Service in this course. The course covers how it works and the basic steps for putting Amazon Athena to use. There will also be a short demonstration of creating a database to run SQL queries for validation.
Free
Training
Introduction to Amazon Quicksight
Fundamental
0 hour 18 minutes
In this course, you will get an overview of Amazon QuickSight, a cloud-based business analytics solution that assists you in gaining insights from your data. The course will also teach you the different advantages of utilizing Amazon QuickSight, how the service works, and get a live demonstration of the platform.
Free
Training
Introduction to AWS IoT Analytics
Fundamental
0 hour 31 minutes
This course will explain how to look at the main parts of AWS loT analytics and also show you how to run complex analytics on huge amounts of loT data. After the course, you will have knowledge of the main parts of AWS loT analytics, as well as the architecture of deployment and some use cases.
Free
Training
Data Analytics Fundamentals
Intermediate
3 hours 30 minutes
In this course, you'll learn how to plan different ways to look at data and the steps you need to take. We'll talk about five important things that you need AWS tools to get, work with, look at, and show your data. You'll learn about simple designs, why they're useful, and some examples. We'll show you how to use AWS tools and give you ideas for making your data work better. We'll also look at safety features in Amazon ECS and Amazon EKS to help you choose the best container service.
Free
Training
Getting Started with Amazon Redshift
Fundamental
1 hour
In this course, you will be introduced to the advantages, typical use cases, and technical concepts of Amazon Redshift. You will also be able to test the service though a demonstration using the AWS Management Console.
Free
Training
Deep Dive into Concepts and Tools for Analyzing Streaming Data on AWS
Fundamental
0 hour 35 minutes
This course will introduce you to the basic stream processing concepts and discuss common ways for dealing with the issues that occur from querying streaming data. You will get familiar with various time semantics, processing guarantees, and how to cope with event reordering and late arrival. You will also get comfortable with the advantages of maintaining state within a stream processing engine and how it affects the way we construct architectures in the streaming realm.
Free
Training
Introduction to Amazon Kinesis Data Analytics for Java Applications
Fundamental
0 hour 12 minutes
In this course, you will learn how to use Java programming to address problems with Amazon Kinesis Data Analytics. You will also learn about the supported SDKs and see how they apply in real-world use cases through the Apache Flink libraries.
Free
Training
Exam Readiness: AWS Certified Data Analytics - Specialty
Intermediate
3 hours 30 minutes
This course gives you a wide range of AWS data analytics services and how to be able to understand use data analytics to drive business transformation. This course helps to get ready for the exam, with information about the topics and shows how the exam is set up.
Free