-
In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.
-
Course Contents
-
- Module 1: Introduction to data lakes
- Module 2: Data ingestion, cataloging, and preparation
- Module 3: Data processing and analytics
- Module 4: Building a data lake with AWS Lake Formation
- Module 5: Additional Lake Formation configurations
- Module 6: Architecture and course review
You have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.
You will receive the original course documentation by Amazon Web Services in English language as an e-book.
-
Target Group
-
This course is intended for:
- Data platform engineers
- Solutions architects
- IT professionals
-
Knowledge Prerequisites
-
We recommend that attendees of this course have:
- Completed the AWS Technical Essentials
- One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals
-
Please note our overview AWS Trainings!
| Module 1: Introduction to data lakes |
| Describe the value of data lakes |
| Compare data lakes and data warehouses |
| Describe the components of a data lake |
| Recognize common architectures built on data lakes |
| Module 2: Data ingestion, cataloging, and preparation |
| Describe the relationship between data lake storage and data ingestion |
| Describe AWS Glue crawlers and how they are used to create a data catalog |
| Identify data formatting, partitioning, and compression for efficient storage and query |
| Lab 1: Set up a simple data lake |
| Module 3: Data processing and analytics |
| Recognize how data processing applies to a data lake |
| Use AWS Glue to process data within a data lake |
| Describe how to use Amazon Athena to analyze data in a data lake |
| Module 4: Building a data lake with AWS Lake Formation |
| Describe the features and benefits of AWS Lake Formation |
| Use AWS Lake Formation to create a data lake |
| Understand the AWS Lake Formation security model |
| Lab 2: Build a data lake using AWS Lake Formation |
| Module 5: Additional Lake Formation configurations |
| Automate AWS Lake Formation using blueprints and workflows |
| Apply security and access controls to AWS Lake Formation |
| Match records with AWS Lake Formation FindMatches |
| Visualize data with Amazon QuickSight |
| Lab 3: Automate data lake creation using AWS Lake Formation blueprints |
| Lab 4: Data visualization using Amazon QuickSight |
| Module 6: Architecture and course review |
| Post course knowledge check |
| Architecture review |
| Course review |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request for customized courses
You can find the complete description of this course with dates and prices ready for download at as PDF.-
In this course, you will learn how to build an operational data lake that supports analysis of both structured and unstructured data. You will learn the components and functionality of the services involved in creating a data lake. You will use AWS Lake Formation to build a data lake, AWS Glue to build a data catalog, and Amazon Athena to analyze data. The course lectures and labs further your learning with the exploration of several common data lake architectures.
-
Course Contents
-
- Module 1: Introduction to data lakes
- Module 2: Data ingestion, cataloging, and preparation
- Module 3: Data processing and analytics
- Module 4: Building a data lake with AWS Lake Formation
- Module 5: Additional Lake Formation configurations
- Module 6: Architecture and course review
You have access to the labs for another 14 days after the course. This way you can repeat exercises or deepen them individually.
You will receive the original course documentation by Amazon Web Services in English language as an e-book.
-
Target Group
-
This course is intended for:
- Data platform engineers
- Solutions architects
- IT professionals
-
Knowledge Prerequisites
-
We recommend that attendees of this course have:
- Completed the AWS Technical Essentials
- One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals
-
Please note our overview AWS Trainings!
| Module 1: Introduction to data lakes |
| Describe the value of data lakes |
| Compare data lakes and data warehouses |
| Describe the components of a data lake |
| Recognize common architectures built on data lakes |
| Module 2: Data ingestion, cataloging, and preparation |
| Describe the relationship between data lake storage and data ingestion |
| Describe AWS Glue crawlers and how they are used to create a data catalog |
| Identify data formatting, partitioning, and compression for efficient storage and query |
| Lab 1: Set up a simple data lake |
| Module 3: Data processing and analytics |
| Recognize how data processing applies to a data lake |
| Use AWS Glue to process data within a data lake |
| Describe how to use Amazon Athena to analyze data in a data lake |
| Module 4: Building a data lake with AWS Lake Formation |
| Describe the features and benefits of AWS Lake Formation |
| Use AWS Lake Formation to create a data lake |
| Understand the AWS Lake Formation security model |
| Lab 2: Build a data lake using AWS Lake Formation |
| Module 5: Additional Lake Formation configurations |
| Automate AWS Lake Formation using blueprints and workflows |
| Apply security and access controls to AWS Lake Formation |
| Match records with AWS Lake Formation FindMatches |
| Visualize data with Amazon QuickSight |
| Lab 3: Automate data lake creation using AWS Lake Formation blueprints |
| Lab 4: Data visualization using Amazon QuickSight |
| Module 6: Architecture and course review |
| Post course knowledge check |
| Architecture review |
| Course review |
-
Classroom training
- Do you prefer the classic training method? A course in one of our Training Centers, with a competent trainer and the direct exchange between all course participants? Then you should book one of our classroom training dates!
-
Online training
- You wish to attend a course in online mode? We offer you online course dates for this course topic. To attend these seminars, you need to have a PC with Internet access (minimum data rate 1Mbps), a headset when working via VoIP and optionally a camera. For further information and technical recommendations, please refer to.
-
Tailor-made courses
-
You need a special course for your team? In addition to our standard offer, we will also support you in creating your customized courses, which precisely meet your individual demands. We will be glad to consult you and create an individual offer for you.
Request for customized courses
You can find the complete description of this course with dates and prices ready for download at as PDF.