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Building Streaming Data Analytics Solutions on AWS - 1 Day ILT

Build real-time data analytics solutions with AWS services like Kinesis and MSK. Covers data ingestion, storage, processing, and best practices.

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About

Course Overview

Learn to design and deploy streaming data analytics solutions on the AWS cloud. Building Streaming Data Analytics Solutions on AWS course helps teams dive deep into Amazon Kinesis and Amazon MSK services. It familiarizes learners with data store optimization, transformation, and compression.

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Level: Intermediate

Duration: 1 Day

Delivery Type: Instructor-Led Training

Course Objectives

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 optimize 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 visualization 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.

Prerequisites

Recommended

At least one year of data analytics experience or direct experience building real-time applications or streaming analytics solutions.

Building Data Lakes on AWS

Architecting on AWS

Who Should Go For This Training?

Cloud Developer

AWS Architect

Cloud Architect

Data Engineer

Course Outline

Day 1

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 architecture

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