Migration to AWS Training

current course dates can be found at the bottom of this page … company training available on request!

Course description

This course is for individuals who seek an understanding of how to plan and migrate existing workloads to the AWS Cloud. You will learn about various cloud migration strategies and how to apply each step of the migration process, including portfolio discovery, application migration planning and design, conducting a migration, and post-migration validation and application optimization. Hands-on labs reinforce learning, and each lab is designed to provide you with the understanding and foundation necessary to complete migration tasks in your organization.

Course objectives

In this course, you will learn to:

• Recognize the common business and technical drivers for migrating to the cloud
• Summarize the three phases of migration and associated objectives, tasks, and stakeholders
• Describe AWS architecture, tools, and migration best practices
• Distinguish the various cloud migration strategies and when each is most appropriate
• Determine an organization’s application and server migration readiness
• Discover a portfolio and gather data necessary for migration
• Plan and design migration strategy for servers, applications and databases
• Perform and validate application migration to the cloud
• Optimize applications and operations after migrating to the cloud

Intended audience

This course is intended for:

• Solutions architects
• Software engineers
• IT project managers
• Operations leads
• Other individuals involved in the planning and running of migration projects

Prerequisites

We recommend that attendees of this course have:

• Familiarity with enterprise IT infrastructure (hardware and software)
• Completed the AWS Technical Essentials or Architecting on AWS course
• Achieved (optional): AWS Certified Solutions Architect – Associate

Activities

This course includes:

•  presentations
• hands-on labs
• demonstrations
• assessments
• group exercises

Course duration / Price

• 3 days – € 1,995.00 (excl. tax) per person (DE)

Course outline

Day 1

Module 0: Introduction to Migrating to AWS

• Course introduction

Module 1: What Is a Cloud Migration?

• Summarize the drivers and desired outcomes of a cloud migration
• Identify the elements of a successful migration journey
• Describe the three-phase AWS migration process

Module 2: Assessing Migration Readiness

• Summarize the activities and goals of the assess phase
• Evaluate tools for assessing your organization’s cloud readiness
• Describe Migration Readiness Assessments (MRAs) and their importance
• Group Exercise: Assess cloud migration readiness with AWS Cloud Adoption Readiness Tool (CART)

Module 3: Preparing for a Migration and Understanding Related Workstreams

• Summarize the mobilize phase of the process
• Discuss the eight unique migration-related workstreams

Module 4: Discovering Landing Zones and Their Benefits

• Explain the function of a landing zone
• Discuss best practices for creating a custom landing zone
• Describe how you would use AWS Control Tower to create a landing zone

Module 5: Building a Landing Zone

• Summarize the process of building a landing zone
• Determine the best multi-account structure, governance policies, and connectivity plan for a landing zone
• Demonstration: AWS Control Tower
• Hands-On Lab: Connecting Your On-Premises Network and Directory Services to AWS

Module 6: Discovering the Portfolio and Understanding Migration Strategies

• Explain the activities of the detailed portfolio discovery workstream
• Describe how to assess an application’s migration readiness
• Summarize the seven migration strategies
• Group Exercise: Choose the best strategy (scenario-based)

Day 2

Module 7: Understanding and Choosing Portfolio Discovery Tools

• Summarize the various discovery tools available
• Distinguish which tools are best to use based on scenario
• Hands-On Lab: Gathering Application Data Necessary for Migration

Module 8: Planning and Designing a Migration

• Describe the planning and design process
• Summarize how to set up a migration factory
• Choose and finalize an application migration strategy

Module 9: Performing the Migration to AWS

• Explain the server migration process
• Discuss the various migration automation and governance tools available
• Evaluate server migration tools for compatibility with your environment
• Hands-On Lab: Migrating an Application to AWS

Module 10: Understanding Database and Data Migration Services

• Summarize the significance of database and data migration
• Discuss the various data migration tools available
• Hands-On Lab: Migrating an Existing Database to Amazon Aurora

Day 3

Module 11: Understanding Additional Migration Support Options

• Discuss additional migration support options
• Summarize AWS Managed Services and AWS Marketplace
• Describe SAP on AWS and services offered for Windows

Module 12: Integrating, Validating, and Cutting Over Applications

• Discuss the process and benefits of integrating, validating, and cutting over applications

Module 13: Modernizing and Optimizing an Application Migration

• Identify post-migration opportunities for modernization and optimization
• Understand cost and security optimization processes
• Explore tools available to support these processes
• Hands-On Lab: Optimizing an Application with Amazon S3 and Amazon ECS

Module 14: Understanding Operations Tools, Integration Testing, and Automation

• Summarize operations in the cloud
• Discuss four functions of operations and their domains
• Review operations automation and relevant support tools

Module 15: Migration Best Practices

• Course review and key takeaways
• Summarize and reinforce AWS best practices for migrating
• Hands-On Lab: Automating Application Deployments

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.

Data Warehousing on AWS

current course dates can be found at the bottom of this page … company training available on request!

Course description

In this course, you’ll learn concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. The course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis Firehose, and Amazon Simple Storage Service (Amazon S3). You’ll also explore how to use business intelligence (BI) tools to perform analysis on your data.

Course objectives

In this course, you will learn to:

• Discuss the core concepts of data warehousing, and the intersection between data warehousing and big data solutions
• Launch an Amazon Redshift cluster and use the components, features, and functionality to implement a data warehouse in the cloud
• Use other AWS data and analytic services, such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis, and Amazon S3, to contribute to the data warehousing solution
• Architect the data warehouse
• Identify performance issues, optimize queries, and tune the database for better performance
• Use Amazon Redshift Spectrum to analyze data directly from an Amazon S3 bucket
• Use Amazon QuickSight to perform data analysis and visualization tasks against the data warehouse

Intended audience

This course is intended for:

• Database Architects
• Database Administrators
• Database Developers
• Data Analysts
• Data Scientist

Prerequisites

We recommend that attendees of this course have:

• Taken AWS Technical Essentials (or equivalent experience with AWS)
• Familiarity with relational databases and database design concepts

Activities

This course includes:

• Training with instructor
• Practical exercises

Course duration / Price

• 3 days / € 2,685.00 (excl. tax) per person (DE)

Course outline

Day 1
Module 1: Introduction to Data Warehousing

• Relational databases
• Data warehousing concepts
• The intersection of data warehousing and big data
• Overview of data management in AWS
• Hands-on lab 1: Introduction to Amazon Redshift

Module 2: Introduction to Amazon Redshift

• Conceptual overview
• Real-world use cases
• Hands-on lab 2: Launching an Amazon Redshift cluster

Module 3: Launching clusters

• Building the cluster
• Connecting to the cluster
• Controlling access
• Database security
• Load data
• Hands-on lab 3: Optimizing database schemas

Day 2
Module 4: Designing the database schema

• Schemas and data types
• Columnar compression
• Data distribution styles
• Data sorting methods

Module 5: Identifying data sources

• Data sources overview
• Amazon S3
• Amazon DynamoDB
• Amazon EMR
• Amazon Kinesis Data Firehose
• AWS Lambda Database Loader for Amazon Redshift
• Hands-on lab 4: Loading real-time data into an Amazon Redshift database

Module 6: Loading data

• Preparing Data
• Loading data using COPY
• Maintaining tables
• Concurrent write operations
• Troubleshooting load issues
• Hands-on lab 5: Loading data with the COPY command

Day 3
Module 7: Writing queries and tuning for performance

• Amazon Redshift SQL
• User-Defined Functions (UDFs)
• Factors that affect query performance
• The EXPLAIN command and query plans
• Workload Management (WLM)
• Hands-on lab 6: Configuring workload management

Module 8: Amazon Redshift Spectrum

• Amazon Redshift Spectrum
• Configuring data for Amazon Redshift Spectrum
• Amazon Redshift Spectrum Queries
• Hands-on lab 7: Using Amazon Redshift Spectrum

Module 9: Maintaining clusters

• Audit logging
• Performance monitoring
• Events and notifications
• Lab 8: Auditing and monitoring clusters
• Resizing clusters
• Backing up and restoring clusters
• Resource tagging and limits and constraints
• Hands-on lab 9: Backing up, restoring and resizing clusters

Module 10: Analyzing and visualizing data

• Power of visualizations
• Building dashboards
• Amazon QuickSight editions and features

IMPORTANT: Please bring your notebook (Windows, Linux or Mac) to our trainings. If this is not possible, please contact us in advance.

Course materials are in English, on request also in German (if available).
Course language is German, on request also in English.