Building Streaming Data Analytics Solutions on AWS

In this course, you will learn 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.

Course Contents

Module A: Overview of Data Analytics and the Data Pipeline
Module 1: Using Streaming Services in the Data Analytics Pipeline
Module 2: Introduction to AWS Streaming Services
Module 3: Using Amazon Kinesis for Real-time Data Analytics
Module 4: Securing, Monitoring, and Optimizing Amazon Kinesis
Module 5: Using Amazon MSK in Streaming Data Analytics Solutions
Module 6: Securing, Monitoring, and Optimizing Amazon MSK
Module 7: Designing Streaming Data Analytics Solutions
Module B: Developing Modern Data Architectures on AWS

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

Target Group

This course is intended for:
• Data engineers and architects
• Developers who want to build and manage real-time applications and streaming data analytics
solutions

Knowledge 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 either Architecting on AWS or Data Analytics Fundamentals
• Completed Building Data Lakes on AWS

Important: Therefore, please bring your notebook to the course! If this is not possible, please contact us in advance.

Please note our overview AWS Trainings!

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 Optimizing Amazon Kinesis

Optimize 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 Optimizing Amazon MSK

Optimizing 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

Classroom training: Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
Online training: You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
Tailor-made courses: You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request for customized courses

You can find the complete description of this course with dates and prices ready for download at as PDF.