Building Data Lakes on AWS
In this course you will learn how to build an operational data lake which supports analysis of both structured and unstructured data. You will get to learn the parts and the functionality of the services that are involved in the creation of a data lake. You will learn to use AWS lake formation to build a data lake, also use AWS Glue to build a data catalog and Amazon Athena to analyze data.
The course is best suited for Data platform engineers, solution architects and IT professionals. We recommend that you should have completed the AWS Technical Essentials classroom course or have at least one year of experience in building data analytics pipelines. An expert AWS instructor delivers this course with the help of presentations, lectures, hands-on labs and group exercises
The course is best suited for Data platform engineers, solution architects and IT professionals. We recommend that you should have completed the AWS Technical Essentials classroom course or have at least one year of experience in building data analytics pipelines. An expert AWS instructor delivers this course with the help of presentations, lectures, hands-on labs and group exercises
In this course, you will learn to:
- Apply data lake methodologies in planning and designing a data lake
- Articulate the components and services required for building an AWS data lake
- Secure a data lake with appropriate permission
- Ingest, store, and transform data in a data lake
- Query, analyze, and visualize data within a data lake
This course is intended for:
- Data platform engineers
- Solutions architects
- IT professionals
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
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
Why choose Cloud Wizard
- Advanced Tier Training Partner
- Amazon Authorised Instructors
- Official AWS Content
- Hands-on Labs
Class Deliverables
- E-Content kit by AWS
- Hands-on labs
- Class completion certificates
- Exam Prep sessions
Dates Available
Choose a date that works for you and click on Book Now to proceed with your registration.
| Method | Duration | Start Time | Start date | Price | Action |
|---|---|---|---|---|---|
| Classroom | 1 days | All Day | May 7, 2024 | ₹15,000 | |
| Classroom | 1 days | All Day | May 21, 2024 | ₹15,000 | |
| Classroom | 1 days | All Day | May 28, 2024 | ₹15,000 | |
| Classroom | 1 days | All Day | June 18, 2024 | ₹15,000 |
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FAQs
To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.
Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order.
There is no minimum number of candidates required, we are happy to train 1 to 1 . With regards to the maximum number, we can accomodate 30 learners in one batch.
- Training Delivered by an Amazon Authorized Instructor.
- AWS Content E-Kit
- Hands-on-labs for 30 days
- Class attendance certificate
You will get the access to course content & lab on first day of your training session.
The course Completion Certificate will be issued to your email id within 2 weeks of completing your course.
A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day)
