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Building Streaming Data Analytics Solutions on AWS

  • Length 1 day
  • Price  NZD 850 exc GST
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.

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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


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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.


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:


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.


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