Master Big Data on AWS - eLearning
450,00 EUR
- 25 hours
Master the power of Big Data on AWS and learn how to design, build, and manage scalable data processing systems in the cloud. This comprehensive course is designed to help you understand how AWS services work together to process massive volumes of data efficiently and securely. You will gain hands-on experience with core big data tools such as Amazon EMR, Amazon Kinesis, AWS Glue, Amazon Redshift, and Amazon Athena. The training focuses on building end-to-end big data pipelines using Hadoop ecosystems, Spark-based analytics, and real-time streaming architectures.
Key Features
Language
Course and material in English
Level
Beginner-Intermediate level
Access
1 Year access to the learning platform
14 Hours of On-Demand Videos
with 25+ hours recommended study time
18 Exercises & 6 Assessments
4 Assignments & 1 Project
Certification
Program completion certification included
Learning Outcomes
At the end of this Course, you will be able to:
Understand
Understand big data concepts and AWS big data architecture
Deploy
Deploy and configure Amazon EMR clusters for distributed processing
Hadoop
Work with Hadoop ecosystem tools such as Hive, Pig, and Spark
Kinesis
Process real-time data using Amazon Kinesis
ETL
Use AWS Glue for data integration and ETL workflows
Analyze
Query and analyze data using Amazon Athena and Redshift
Storage
Implement storage strategies for scalable big data systems
Design
Design secure, cost-efficient big data solutions on AWS
Apply
Apply in-memory analytics for faster data processing
Pipeline
Build end-to-end cloud-based big data pipelines
Course timeline
Introduction to Big Data on AWS
Lesson 01
- Big Data Fundamentals
- Understanding the AWS Services Stack for Big Data Analytics
- Building Data Lake Quickly Using Lake Formation
Data Collection, Catalogs, and Preparation
Lesson 02
- Data Ingestion Patterns in AWS
- Migrating Data Using AWS DMS and SCT
- Batch Data Loading with S3 Load, and Transfer Family
- Crawling Databases with AWS Glue Crawlers
- Real-Time Data Streaming with Kinesis
- Using Managed Kafka Queue to Handle Multi-Velocity Data
- Bringing in Third Party Data with AWS AppFlow
Storing Large Data
Lesson 03
- Identifying Data Storage Requirements
- Manage your Big data with AWS Glue Catalog
- Perform Interactive Big Data Query with Amazon Athena
- Creating a Data Warehouse with Amazon Redshift
- Bringing in External Data for Analytics Using Redshift Spectrum
- Storing NoSQL Data on DynamoDB
Real-Time Data Streaming
Lesson 04
- Introduction to streaming data
- Amazon Kinesis Data Streams
- Kinesis Data Firehose and Analytics
- Processing live data streams
Data Storage Solutions on AWS
Lesson 05
- AWS storage services for big data
- Choosing the right data storage model
- S3 as a data lake
- Data lifecycle management
Processing Your Data on AWS
Lesson 06
- Introduction to Apache Hadoop and Amazon EMR
- Working with Spark on EMR
- Creating and Querying Tables with Spark and Spark SQL on Amazon EMR
- Working with AWS Glue
- Building Big Data ETL Orchestration with Amazon MWAA
- Visualize Data with Amazon QuickSight
Advanced Topic on Big Data
Lesson 07
- Building Data Lake Using AWS Lake Formation
- Cost Management Strategies to Optimize EMR Clusters
- Securing Big Data Applications on AWS
- Building ML Models on Data Lake using SageMaker
Who Should Enroll in This Program?
Data engineers and cloud engineers
Solutions architects working with AWS
Data analysts and data scientists
Big data professionals transitioning to cloud
DevOps engineers and support engineers
IT professionals preparing for AWS data certifications
Prerequisites
- Basic understanding of big data concepts (Hadoop, SQL, NoSQL)
- Familiarity with core AWS services is recommended
- Knowledge of data warehousing and database fundamentals
- Prior exposure to cloud computing concepts is helpful
- Basic understanding of data processing workflows
Statements
Licensing and accreditation
This course is offered according to Partner Program Agreement and complies with the License Agreement requirements
Equity Policy
Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.
Frequently Asked Questions
Need corporate solutions or LMS integration?
Didn't find the course or program which would work for your business? Need LMS integration? Write us, we will solve everything!