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Building Batch Data Analytics Solutions on AWS

Written by Gemma Corrado on . Posted in AWS Training, Training.

Building Batch Data Analytics Solutions 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 will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

Course objectives

In this course, you will learn to:

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a batch data analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, 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 data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Intended audience

This course is intended for:

  • Data platform engineers
  • Architects and operators who build and manage data analytics pipelines

Prerequisites

We recommend that attendees of this course have:

Activities

This course includes:

  • Training with instructor
  • Practical exercises

Course duration / Price

  • 1 day / € 795.00 (excl. tax) per person (DE)

Course outline

Module A: Overview of Data Analytics and the Data Pipeline

  • Data analytics use cases
  • Using the data pipeline for analytics

Module 1: Introduction to Amazon EMR

  • Using Amazon EMR in analytics solutions
  • Amazon EMR cluster architecture
  • Interactive Demo 1: Launching an Amazon EMR cluster
  • Cost management strategies

Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage

  • Storage optimization with Amazon EMR
  • Data ingestion techniques

Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR

  • Apache Spark on Amazon EMR use cases
  • Why Apache Spark on Amazon EMR
  • Spark concepts
  • Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell
  • Transformation, processing, and analytics
  • Using notebooks with Amazon EMR
  • Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR

Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive

  • Using Amazon EMR with Hive to process batch data
  • Transformation, processing, and analytics
  • Practice Lab 2: Batch data processing using Amazon EMR with Hive
  • Introduction to Apache HBase on Amazon EMR

Module 5: Serverless Data Processing

  • Serverless data processing, transformation, and analytics
  • Using AWS Glue with Amazon EMR workloads
  • Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions

Module 6: Security and Monitoring of Amazon EMR Clusters

  • Securing EMR clusters
  • Interactive Demo 3: Client-side encryption with EMRFS
  • Monitoring and troubleshooting Amazon EMR clusters
  • Demo: Reviewing Apache Spark cluster history

Module 7: Designing Batch Data Analytics Solutions

  • Batch data analytics use cases
  • Activity: Designing a batch data analytics workflow

Module B: Developing Modern Data Architectures on AWS

  •  Modern data architectures

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.

Running Container-Enabled Microservices on AWS

Written by wamrhein on . Posted in AWS Training, Training.

Running Container-Enabled Microservices on AWS

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

Course description

The Running Container-Enabled Microservices on AWS course is designed to show you how to manage and scale container-enabled applications using Amazon EC2 Container Service (ECS). The course highlights the challenges of custom applications running on containers and provides a guide to building and using Amazon ECS to develop and deploy microservices-based applications running on containers. In the hands-on exercises, you will use Amazon ECS to handle long-running services, create and deploy container images, connect services, and scale capacity to meet demand. This bootcamp will also discuss how to run container for asynchronous application processes.

Course objectives

In this course, you will learn to:

  • Developing a microservices-based architecture with containers
  • Using Amazon ECS to Run and Scale a Microservices-Based Application
  • Integrating Amazon ECS with Other AWS Services

Intended audience

This course is intended for:

  • Developers
  • System administrators
  • Solution architects

Prerequisites

We recommend that attendees of this course have:

  • Basic knowledge of key AWS services and features.
  • Practical knowledge of how to run container-based applications

Activities

This course includes:

  • Training with instructor
  • Practical exercises

Course duration / Price

  • 1 day / € 750.00 (excl. tax) per person (DE)

Course outline

This course covers the following concepts:

  • Overview of containers in AWS
  • Introduction to microservices-based architecture in AWS
  • Scaling container-based applications
  • Integrating Amazon ECS with other AWS services

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, language of the trainer is German.

AWS Security Essentials

Written by wamrhein on . Posted in AWS Training, Training.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

AWS Security Essentials

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

Course description

This course covers fundamental AWS cloud security concepts, including AWS access control, data encryption methods, and how network access to your AWS infrastructure can be secured. Based on the AWS Shared Security Model, you learn where you are responsible for implementing security in the AWS Cloud and what security-oriented services are available to you and why and how the security services can help meet the security needs of your organization.

Course objectives

In this course, you will learn to:

  • Assimilate Identify security benefits and responsibilities of using the AWS Cloud
  • Describe the access control and management features of AWS
  • Explain the available methods for providing encryption of data in transit and data at rest when storing your data in AWS.
  • Describe how to secure network access to your AWS resources
  • Determine which AWS services can be used for monitoring and incident response

Intended audience

This course is intended for:

  • Security IT business-level professionals interested in cloud security practices
  • Security professionals with minimal to no working knowledge of AWS

Prerequisites

We recommend that attendees of this course have:

  • Working knowledge of IT security practices and infrastructure concepts, familiarity with cloud computing concepts

Activities

This course includes:

  • presentations
  • hands-on labs

Course duration / Price

  • 1 Day
  • € 895.00 (excl. tax) per person (DE)
  • CHF 900.00 (excl. tax) per person (CH)

Course outline

Day 1

  • Module 1: Security on AWS
    • Security design principles in the AWS Cloud
    • AWS Shared Responsibility Model
  • Module 2: Security OF the Cloud
    • AWS Global Infrastructure
    • Data center security
    • Compliance and governance
  • Module 3: Security IN the Cloud – Part
    • Identity and access management
    • Data protection essentials
    • Lab 01 – Introduction to security policies
  • Module 4: Security IN the Cloud – Part 2
    • Securing your infrastructure
    • Monitoring and detective controls
    • Lab 02 – Securing VPC resources with Security Groups
  • Module 5: Security IN the Cloud – Part 3
    • DDoS mitigation
    • Incident response essentials
    • Lab 03 – Remediating issues with AWS Config Conformance Packs
  • Module 6: Course Wrap Up
    • AWS Well-Architected tool overview
    • Next Steps

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

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

Neue Termine in Planung!

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Quantum Computing Essentials

Written by wamrhein on . Posted in tecRacer Trainings, Training.

Quantum Computing
Essentials

Quantum technology has had a strong media presence even before Europe’s first quantum computer went into operation in Ehningen on June 15, 2021. Being one of the most important technological fields of the future, a huge amount of money is currently being invested in this field. It is therefore worthwhile to look at what added value this technology can create in the future. From an IT perspective, but also from a business analytics perspective.

  • Aws Advanced Training Partner

  • Aws Premium Consuting Partner

Objective

In a four-hour course, we will focus on the practical part of quantum technology. We will teach just as much theory as necessary to quickly compute practical examples of quantum algorithms on our own. To do this, we will take advantage of the AWS Cloud to book the necessary hardware on a short-term and temporary basis. In the process, you will learn what is already possible with the technology today, what potential it has and how it can be used productively.

All you need for the course is a laptop with free internet access. Please study the links below in advance if you would like to familiarize yourself more intensively with the mathematical-physical theory of quantum computation.

Quantum-safe encryption

Are you already using quantum-safe encryption? How long do you estimate it would take to convert all your current TLS-based encryption and which consequences this would have? Did you know that the National Institute for Standards and Technology (NIST) has been publicly soliciting standardization for quantum-safe Pulic key exchange methods since 2016?

AWS is also participating in this and you can already try out so-called post-quantum encryption methods today. It is expected that the search for a stable standard will be completed in 2024. Start preparing for the future today.

  • Quantum Computing

    13 September 2021

    A quantum computer is a processor that uses the laws of quantum mechanics. The principles of superposition and entanglement ensure that, compared to computers with electrically stored information, certain problems can be calculated much more efficiently.

    Read More

  • AWS Braket

    04 September 2021

    Amazon Braket is a fully managed quantum computing service. Self-developed quantum algorithms can be tested on quantum circuit simulators and executed on various quantum hardware technologies.

    Read More

  • Amazon SageMaker

    31 August 2021

    Amazon SageMaker is a fully managed service to work with machine learning in the cloud. Models can be developed, trained, refined, and deployed productively, including using built-in pipelines. No on-premises hardware is required.

    Read More

Facts and figures

Course Duration / Price
  • 0,5 days / € 650.00 (excl. tax) per person (DE)
Intended Audience
  • Technically interested roles that want to see today what the future has in store

Course Outline

  • Introduction

    • What is QC actually?
    • Physical basics of quantum computing and introduction to the theory of quantum computing.

  • AWS Introduction

    • What are the capabilities of AWS for QC?
    • How can AWS be used for your own purposes?
    • What are the things to consider when thinking from PoCs to MVPs to production workloads?

  • Pre- and debriefing

    • Necessary theory to be able to perform the following lab variants

  • HandsOn – Exercise 1

    • Getting started with QC in AWS.
    • Getting to know a working environment

  • HandsOn – Exercise 2

    • Graph theoretic problem with DWave or simulation problem with Rigettit/IonQ

  • HandsOn – Exercise 3

    • Practical exercise for selection: Simulation problem with Rigettit/ gate creation with IonQ.

  • WrapUp, NextSteps, Discussion

    • What have we learned?
    • How could we generate added value in the future?

IMPORTANT:

For the course you only need a laptop with free internet access.
Please study the above links in advance if you would like to familiarize yourself more intensively with the mathematical-physical theory of quantum computation

Next Quantum Computing Essentials dates:

DatumKursPreis pro TN
19.05.2025 Quantencomputing Workshop
Online in - Virtual Classroom		650,00 EUR zzgl. MwSt.Buchen
17.11.2025 Quantencomputing Workshop
Online in - Virtual Classroom		650,00 EUR zzgl. MwSt.Buchen

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AWS Cloud Essentials for Business Leaders

Written by wamrhein on . Posted in AWS Training, Training.

AWS Cloud Essentials for Business Leaders

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

Course description

This course is for business leaders who seek an overall understanding of the fundamental concepts of cloud computing. Learn how a cloud strategy can help you meet business objectives. The course dives into the business value of the cloud through customer examples, exploring industry trends, and the Cloud Value Framework, which helps you understand the business value of building on AWS by assessing cost and value impact.

Course objectives

In this course, you will learn to:

  • Explain the role of information technology (IT) in an organization for business transformation
  • Explain the customer value proposition for using the cloud across industries
  • Define key characteristics of cloud computing
  • Explain the cloud business model
  • Identify key security practices of cloud computing
  • Frame the cloud business value using the Cloud Value Framework

Intended audience

This course is intended for:

  • Line of Business (LoB) owners and executives

Prerequisites

We recommend that attendees of this course have:

  • No prior IT experience or cloud experience is required.

Activities

This course includes:

  • Training with instructor
    Practical exercises

Course duration / Price

  • 4 hours / € 750.00 (excl. tax) per person (DE)

Course outline

Module 1: Course Introduction

Module 2: Information Technology for Business Transformation

  • Role of IT in an organization for business transformation
  • Brief history of IT
  • Legacy approach to IT
  • What drives customers to move from traditional infrastructure to the cloud

Module 3: Cloud Computing

  • Define cloud computing
  • Key characteristics of cloud technology
  • The cloud business model
  • Key security practices within the cloud

Module 4: Business Value of the Cloud

  • The customer value proposition
  • Identify who is using cloud computing
  • Industry trends
  • Customer examples

Module 5: The Cloud Value Framework

  • Introduction to the Cloud Value Framework
  • Cost Savings
  • Staff Productivity
  • Operational Resilience
  • Business Agility

Module 6: Business Value Activity

  • Using a fictional customer case study, we review and apply lessons learned from the course

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.