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 the attendees 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
1 Day / 8 Hours
Live Class
Certificate on completion
You will learn about the following
- Utilize data lake design and planning approaches while creating a data lake.
- Describe the elements and services necessary to establish an AWS data lake.
- Protect a data lake with the proper authorization.
- Data lake ingest, storing, and transformation
- Data lake query, analysis, and visualization
What experience you need
- Completed the AWS Technical Essentials classroom course
- One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
Who should take this course
- 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
Talk to a Learning Advisor
Popular AWS Courses
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.
You may reach out at the contact number listed on our official website or write us at info@cloudwizardconsulting.com
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)
MOBILE LAYOUT
Building Data Lakes on AWS
1 Day / 8 Hours
Live Class
Certificate on completion
Objectives
Here’s what you’ll learn in this AWS course:
- Utilize data lake design and planning approaches while creating a data lake.
- Describe the elements and services necessary to establish an AWS data lake.
- Protect a data lake with the proper authorization.
- Data lake ingest, storing, and transformation
- Data lake query, analysis, and visualization
Prerequisites
To qualify for taking up this course, you’ll need the following:
- Completed the AWS Technical Essentials classroom course
- One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
Intendend Audience
You can take on this course if you belong to the following category of individuals:
- Data platform engineers
- Solutions architects
- IT professionals
Module Breakdown
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
Talk to a Learning Advisor
Tablet View
Popular AWS Courses
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.
You may reach out at the contact number listed on our official website or write us at info@cloudwizardconsulting.com
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)
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 the attendees 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
1 Day / 8 Hours
Live Class
Certificate on completion
Objectives
Here’s what you’ll learn in this AWS course:
- Utilize data lake design and planning approaches while creating a data lake.
- Describe the elements and services necessary to establish an AWS data lake.
- Protect a data lake with the proper authorization.
- Data lake ingest, storing, and transformation
- Data lake query, analysis, and visualization
Prerequisites
To qualify for taking up this course, you’ll need the following:
- Completed the AWS Technical Essentials classroom course
- One year of experience building data analytics pipelines or have completed the Data Analytics Fundamentals digital course
Intended Audience
You can take on this course if you belong to the following category of individuals:
- 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
Talk to a Learning Advisor
FAQs
Yes, we are an AWS Advanced Tier Training Partner
Anyone who wants to start a profession in AWS cloud is fit to enroll in this course. No prior knowledge of coding or other technical skills is required.
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.
You may reach out at the contact number listed on our official website or write to us at info@cloudwizard.wpenginepowered.com.
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 should you wish. With regard to the maximum number, we can accommodate 30 learners in one batch.
1. Training delivered by an Amazon Authorised Instructor
2. AWS Content E-Kit
3. Hands-on labs- 30 days
4. 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).
