Big Data on AWS

Price
Net €
VAT €

Price
Price on Request

Duration
3 days

For companies and job seekers:
this course is 100% fundable!

Location

Course Language
English

Training Solutions
Online Live

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Data volumes are growing rapidly and require scalable, secure, and intelligent cloud solutions. Modern data processing on AWS combines big data, analytics, and AI to form a powerful basis for informed decisions and automated processes.

Key topics

Big data architectures and data pipelines on AWS.
Processing large amounts of data with cloud-native services.
Scalability, security, and cost optimization.
Integration of analytics, machine learning, and AI.
Data visualization and data-based decision models.

Prerequisites
Basic knowledge of IT, data processing, or cloud environments is helpful.

Target audience
Suitable for specialists and managers from IT, data, analytics, and architecture, as well as anyone who wants to classify and evaluate data-driven solutions in the cloud.

The content taught strengthens understanding of modern big data strategies on AWS and supports the secure, efficient, and AI-oriented use of data as a strategic success factor.

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Course content

Fundamentals of Big Data

Definition and significance of big data
Setting up a data pipeline
Principles of modern data architecture

Collection and sharing of big data

Overview: Data collection
Data transmission

Amazon Kinesis for big data

Real-time streams with mass data
Amazon's Kinesis platform
Data flow via Kinesis Firehose
Video transmission via Kinesis Streams
Analytics with Kinesis Data Analytics

Large-scale data management

Overview of AWS storage types
Fundamentals of modern storage strategies
Criteria for choosing the right storage

Big Data Processing & Analysis

Analysis of large amounts of data
Amazon Athena

Big Data with Hadoop & EMR

Basics of Amazon EMR & Hadoop
Best practices for data collection
Using Amazon EMR
Architecture of Amazon EMR

Use of Amazon EMR

Create and operate a program
Start and set up clusters
Evaluate results of completed jobs

Hadoop development framework

Hadoop libraries
Alternative frameworks on Amazon EMR

Web interfaces on Amazon EMR

Hue in Amazon EMR
Cluster Monitoring

Apache Spark on Amazon EMR

Spark Basics
Using Spark

AWS Glue for automated ETL processes

Basics of AWS Glue
Orchestrating Glue jobs

Big data analytics with Redshift

Data warehouses vs. traditional databases
Amazon Redshift Platform
Architecture of Amazon Redshift

Security strategies in AWS

Security for Amazon deployments
Overview Amazon EMR Security
Overview of AWS Identity & Access Management
Protecting Data Assets
Overview of Amazon Kinesis Security
Overview of Amazon DynamoDB Security
Overview of Amazon Redshift Security

Cost management for big data

Total cost with Amazon EMR
Amazon EC2 pricing options
Amazon Kinesis cost models
Budget focus with Amazon DynamoDB
Price overview for Amazon Redshift
AWS cost optimization

Visualization & control of big data

Data visualization in the big data environment
Amazon QuickSight in use
Workflow orchestration for big data

Design Patterns for Big Data

Central structures

Course completion

What happens next?

Your training will be 100% funded

Our funding schemes are available exclusively to participants who live or work in Germany. Funding is not available outside Germany.

For career starters, job seekers, career changers, startups, experienced professionals, those looking to advance their careers, specialists, etc.

The QCG program for everyone in the company

Further information

The education voucher for all job seekers

Further information

Frequently asked questions

What is "Big Data on AWS"?

Big Data on AWS means storing, processing, and analyzing large amounts of data using Amazon Web Services. Scalable tools such as Amazon EMR, Redshift, and Kinesis are used for this purpose.

Who is further training in Big Data on AWS suitable for?

Particularly relevant for professionals in IT, data science, or business intelligence. Ideal for anyone who wants to analyze data professionally or make data-driven decisions.

What content is typically taught?

Topics covered include data processing with Amazon EMR, data visualization with QuickSight, data storage in S3, streaming with Kinesis, security, and cost control.

What prior knowledge is required?

Basic knowledge of cloud computing and a fundamental understanding of data processing are helpful. Experience with AWS or programming is an advantage, but not essential.

How can big data training with AWS help your career?

Demanded skills in AWS and big data tools increase your chances of finding jobs in areas such as cloud architecture, data engineering, or analytics—in companies of all sizes.

Is there a recognized certification?

Yes, the training program concludes with an official AWS certification. This is internationally recognized as proof of practical knowledge in the field of big data and cloud technology.

What advantages does AWS offer in the area of big data?

AWS enables flexible scaling, high reliability, numerous analysis functions, and a wide range of services for different data formats, workflows, and real-time applications.

Do you have any further questions? Please contact us.

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