8 Hrs
4383+ Enrollments
Building Data Lakes on AWS
This course is designed for data engineers, data analysts, and data scientists who want to learn how to build and manage data lakes on the AWS platform. The course covers the fundamentals of data lakes, including data ingestion, storage, and processing, as well as advanced topics such as data cataloging, metadata management, and data governance.
Building Data Lakes on AWS
Overview of Course
The "Building Data Lakes on AWS" course is designed to help you learn how to build and manage data lakes on the AWS platform. The course provides hands-on training on various AWS services, including Amazon S3, Amazon Redshift, AWS Glue, and Amazon Athena. By the end of this course, you will have the skills and knowledge needed to design, build, and manage a data lake on AWS.
Course Highlights
Hands-on training on AWS services such as Amazon S3, Amazon Redshift, AWS Glue, and Amazon Athena
Understand the fundamentals of data lakes, including data ingestion, storage, and processing
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
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We help organizations deliver right outcomes by training talent
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Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
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Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Design and build data lakes on the AWS platform
Ingest and process data using AWS services such as Amazon S3, Amazon Redshift, and AWS Glue
Catalog and manage metadata using AWS Glue and Amazon Athena
Implement data governance and security best practices for data lakes
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
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- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- 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
- 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
- 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
- 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
- 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
- Post course knowledge check
- Architecture review
- Course review
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Data Engineers
- Data Analysts
- Data Scientists
- IT Professionals
Prerequisite:
- Basic knowledge of AWS
- Familiarity with SQL
- Familiarity with data warehousing concepts
Benefits of the course:
- Hands-on training on AWS services for data lakes
- Learn how to design, build, and manage data lakes on AWS
- Understand data cataloging, metadata management, and data governance best practices
- Real-world case studies and examples
- Receive a certificate of completion
Exam details to pass the course:
- There is no exam for this course.
- Learners will receive a certificate of completion upon finishing the course.
Certification path:
- There are no specific certifications required to take this course.
- However, learners may consider pursuing AWS Certified Big Data - Specialty certification after completing this course.
Career options after doing the course:
- Data Engineer
- Data Analyst
- Data Scientist
- AWS Solutions Architect
- AWS Big Data Specialist
Why should you take this course from Skillzcafe:
Comprehensive and hands-on training on AWS services for data lakes- Real-world case studies and examples
- Experienced and certified instructors
- Flexible learning options
- 30-day money-back guarantee
FAQs
The course duration is 1 day.
The course covers AWS services such as Amazon S3, Amazon Redshift, AWS Glue, and Amazon Athena.
Learners should have basic knowledge of AWS, familiarity with SQL, and familiarity with data warehousing concepts.
You will receive a certificate of completion from Skillzcafe.
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