Building Streaming Data Analytics Solutions on AWS

Length 1 day

Course overview

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Why study this course

Learn how to build streaming data analytics solutions using AWS services, including Amazon Kinesis and Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon Kinesis is a massively scalable and durable real-time data streaming service. Amazon MSK offers a secure, fully managed, and highly available Apache Kafka service. You will learn how Amazon Kinesis and Amazon MSK integrate with AWS services such as AWS Glue and AWS Lambda. The course addresses the streaming data ingestion, stream storage, and stream processing components of the data analytics pipeline. You will also learn to apply security, performance, and cost management best practices to the operation of Kinesis and Amazon MSK.

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

Aligns to certification

AWS Certified Data Engineer - Associate

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What you’ll learn

This course is designed to teach participants how to:

Understand the features and benefits of a modern data architecture. Learn how AWS streaming services fit into a modern data architecture.
Design and implement a streaming data analytics solution
Identify and apply appropriate techniques, such as compression, sharding, and partitioning, to optimise data storage
Select and deploy appropriate options to ingest, transform, and store real-time and near real-time data
Choose the appropriate streams, clusters, topics, scaling approach, and network topology for a particular business use case
Understand how data storage and processing affect the analysis and visualisation mechanisms needed to gain actionable business insights
Secure streaming data at rest and in transit
Monitor analytics workloads to identify and remediate problems
Apply cost management best practices

AWS at Lumify Work

Lumify Work is an official AWS Training Partner for Australia, New Zealand, and the Philippines. Through our Authorised AWS Instructors, we can provide you with a learning path that’s relevant to you and your organisation, so you can get more out of the cloud. We offer virtual and face-to-face classroom-based training to help you build your cloud skills and enable you to achieve industry-recognised AWS Certification.

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Who is the course for?

Data engineers and architects
Developers who want to build and manage real-time applications and streaming data analytics solutions

Course subjects

Module A: Overview of Data Analytics and the Data Pipeline

Data analytics use cases
Using the data pipeline for analytics

Module 1: Using Streaming Services in the Data Analytics Pipeline

The importance of streaming data analytics
The streaming data analytics pipeline
Streaming concepts

Module 2: Introduction to AWS Streaming Services

Streaming data services in AWS
Amazon Kinesis in analytics solutions
Demonstration: Explore Amazon Kinesis Data Streams
Practice Lab: Setting up a streaming delivery pipeline with Amazon Kinesis
Using Amazon Kinesis Data Analytics
Introduction to Amazon MSK
Overview of Spark Streaming

Module 3: Using Amazon Kinesis for Real-time Data Analytics

Exploring Amazon Kinesis using a clickstream workload
Creating Kinesis data and delivery streams
Demonstration: Understanding producers and consumers
Building stream producers
Building stream consumers
Building and deploying Flink applications in Kinesis Data Analytics
Demonstration: Explore Zeppelin notebooks for Kinesis Data Analytics
Practice Lab: Streaming analytics with Amazon Kinesis Data Analytics and Apache Flink

Module 4: Securing, Monitoring, and Optimising Amazon Kinesis

Optimise Amazon Kinesis to gain actionable business insights
Security and monitoring best practices

Module 5: Using Amazon MSK in Streaming Data Analytics Solutions

Use cases for Amazon MSK
Creating MSK clusters
Demonstration: Provisioning an MSK Cluster
Ingesting data into Amazon MSK
Practice Lab: Introduction to access control with Amazon MSK
Transforming and processing in Amazon MSK

Module 6: Securing, Monitoring, and Optimising Amazon MSK

Optimising Amazon MSK
Demonstration: Scaling up Amazon MSK storage
Practice Lab: Amazon MSK streaming pipeline and application deployment
Security and monitoring
Demonstration: Monitoring an MSK cluster

Module 7: Designing Streaming Data Analytics Solutions

Use case review
Class Exercise: Designing a streaming data analytics workflow

Module B: Developing Modern Data Architectures on AWS

Modern data architectures

Please note: This is an emerging technology course. Course outline is subject to change as needed.

Prerequisites

We recommend that attendees of this course have:

At least one year of data analytics experience or direct experience building real-time applications or streaming analytics solutions. We suggest the Streaming Data Solutions on AWS whitepaper for those that need a refresher on streaming concepts
Completed Architecting on AWS course
Completed Building Data Lakes on AWS course

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.