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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.

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Course Highlights

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Hands-on training on AWS services such as Amazon S3, Amazon Redshift, AWS Glue, and Amazon Athena

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Understand the fundamentals of data lakes, including data ingestion, storage, and processing




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Skills You’ll Learn

#1

Design and build data lakes on the AWS platform

#2

Ingest and process data using AWS services such as Amazon S3, Amazon Redshift, and AWS Glue

#3

Catalog and manage metadata using AWS Glue and Amazon Athena

#4

Implement data governance and security best practices for data lakes

Training Options

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1-on-1 Training

USD 450 / INR 36000

  • Option Item Access to live online classes
  • Option Item Flexible schedule including weekends
  • Option Item Hands-on exercises with virtual labs
  • Option Item Session recordings and learning courseware included
  • Option Item 24X7 learner support and assistance
  • Option Item Book a free demo before you commit!
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Corporate Training

On Request

  • Option Item Everything in 1-on-1 Training plus
  • Option Item Custom Curriculum
  • Option Item Extended access to virtual labs
  • Option Item Detailed reporting of every candidate
  • Option Item Projects and assessments
  • Option Item Consulting Support
  • Option Item Training aligned to business outcomes
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Course Reviews

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Skillzcafe's training program has been an exceptional learning experience for me. The course content was comprehensive and taught by industry experts, enabling me to acquire practical skills that are highly relevant. I strongly recommend Skillzcafe to anyone looking to upskill or kickstart their career.

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The training was a game-changer for me! The course material was comprehensive, the instructors were knowledgeable and supportive, and the hands-on approach helped me gain practical experience. I am confident and ready to tackle any challenge. Thank you, Skillzcafe!

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I was thoroughly impressed with Skillzcafe's training program. The curriculum was comprehensive and up-to-date, and the instructors were knowledgeable and helpful. The hands-on approach helped me develop practical skills to apply in my future career. Overall, a fantastic learning experience!

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The platform was easy to use, and the trainers were knowledgeable and supportive. I learned practical skills that have helped me in my job, and the flexibility of the online training allowed me to balance work and studies.

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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
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Description

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Target Audience:

  • Data Engineers
  • Data Analysts
  • Data Scientists
  • IT Professionals
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Prerequisite:

  • Basic knowledge of AWS
  • Familiarity with SQL
  • Familiarity with data warehousing concepts

 

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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
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Exam details to pass the course:

  • There is no exam for this course.
  • Learners will receive a certificate of completion upon finishing the course.



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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.
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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:

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Why should you take this course from Skillzcafe:

  • Bullet Icon Comprehensive and hands-on training on AWS services for data lakes
  • Bullet Icon Real-world case studies and examples
  • Bullet Icon Experienced and certified instructors
  • Bullet Icon Flexible learning options
  • Bullet Icon 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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