Building Data Lakes on AWS
Duration : 1 Day (8 Hours)
Building Data Lakes on AWS Course Overview:
In this Building Data Lakes on AWS 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 level: Intermediate
Intended audience:
- Data platform engineers
- Solutions architects
- IT professionals
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
Building Data Lakes on AWS Course Prerequisites:
We recommend that attendees of this course have:
- Completed the AWS Technical Essentials classroom course
- One year of experience building data analytics pipelines or have completed the Data Analytics
- Fundamentals digital course
Q: What is Building Data Lakes on AWS training?
A: Building Data Lakes on AWS training is a comprehensive program designed to provide individuals with the knowledge and skills needed to design, build, and manage data lakes on the Amazon Web Services (AWS) platform. It covers various aspects of data lake architecture, data ingestion, storage, processing, security, and analytics using AWS services such as Amazon S3, AWS Glue, and Amazon Athena.
Q: Who should consider taking Building Data Lakes on AWS training?
A: This training is suitable for data engineers, data architects, and IT professionals who want to build and manage data lakes on AWS. It is beneficial for those involved in data ingestion, transformation, and analysis, as well as individuals responsible for architecting scalable and cost-effective data lake solutions.
Q: What topics are covered in Building Data Lakes on AWS training?
A: The training covers a range of topics, including data lake architecture and components, data ingestion strategies, data transformation and processing using AWS Glue, data cataloging and metadata management, data lake security and compliance, data lake analytics with Amazon Athena and other services, and best practices for building scalable and resilient data lakes.
Q: Are there any prerequisites for taking Building Data Lakes on AWS training?
A:
- Completed the AWS Technical Essentials classroom course
- One year of experience building data analytics pipelines or have completed the Data Analytics
- Fundamentals digital course
Q: How can I prepare for Building Data Lakes on AWS training?
A: To prepare for the training, it is recommended to have a good understanding of data concepts, including data formats, data modeling, and data integration. Familiarizing yourself with AWS services such as Amazon S3, AWS Glue, and Amazon Athena will also be advantageous. Exploring AWS documentation and hands-on exercises related to data lake building can enhance your preparation.
Q: How can I register for Building Data Lakes on AWS training?
A: To register for the training, click Enroll Now, we will provide you with information on available training schedules, formats (in-person or online), and enrollment procedures.
Q: Is Building Data Lakes on AWS training available online?
A: Yes, we offers online training options for Building Data Lakes on AWS to provide flexibility for learners.
Q: Can Building Data Lakes on AWS training help in obtaining AWS certifications?
A: While Building Data Lakes on AWS training provides valuable knowledge and skills in building data lakes, it does not directly prepare you for specific AWS certifications. However, it lays a solid foundation for pursuing advanced certifications related to data analytics or AWS architecture.
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This course comes with following benefits:
- Practice Labs.
- Get Trained by Certified Trainers.
- Access to the recordings of your class sessions for 90 days.
- Digital courseware
- Experience 24*7 learner support.
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