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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

15,000

Choose a date

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

Activities

  • Group Discussions
  • Live Demonstrations
  • Hands-On Labs
  • Knowledge Checks

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

Please enable JavaScript in your browser to complete this form.

Exam Readiness

AWS Certified Data Analytics - Specialty

The AWS Certified Data Analytics – Specialty exam verifies candidates’ proficiency in building, deploying, and fine-tuning data models, as well as in utilizing AWS services to scale up this process. In this intermediate-level course, learn how to study for the exam by reviewing the subject areas and how they relate to Data analysis on AWS.

Certification

AWS Certified Data Analytics - Specialty

This certification enables businesses to find and nurture personnel with the essential competencies to carry out cloud activities. AWS Certified Data Analytics – Specialty status verifies knowledge of how to use AWS data lakes and analytics services to extract insights from data.

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).

MOBILE LAYOUT

Building Data Lakes on AWS

1 Day / 8 Hours

Live Class

Certificate on completion

15,000

(Taxes Extra)

Choose a date

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

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

You can take on this course if you belong to the following category of individuals:

  • Data platform engineers
  • Solutions architects
  • IT professionals

This Building a Serverless Data Lake on AWS Training includes the following activities: 

  • Group Discussions
  • Live Demonstrations
  • Hands-On Labs
  • Knowledge Checks

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

Exam Readiness

The AWS Certified Data Analytics – Specialty exam verifies candidates’ proficiency in building, deploying, and fine-tuning data models, as well as in utilizing AWS services to scale up this process. In this intermediate-level course, learn how to study for the exam by reviewing the subject areas and how they relate to Data analysis on AWS.

Certifications

AWS Certified Data Analytics - Specialty

This certification enables businesses to find and nurture personnel with the essential competencies to carry out cloud activities. AWS Certified Data Analytics – Specialty status verifies knowledge of how to use AWS data lakes and analytics services to extract insights from data.

Talk to a Learning Advisor

Please enable JavaScript in your browser to complete this form.

Tablet View

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

15,000

Choose a date

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

Activities

This Building a Serverless Data Lake on AWS Training includes the following activities: 

  • Group Discussions
  • Live Demonstrations
  • Hands-On Labs
  • Knowledge Checks

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

Please enable JavaScript in your browser to complete this form.

Exam Readiness

AWS Certified Data Analytics - Specialty

The AWS Certified Data Analytics – Specialty exam verifies candidates’ proficiency in building, deploying, and fine-tuning data models, as well as in utilizing AWS services to scale up this process. In this intermediate-level course, learn how to study for the exam by reviewing the subject areas and how they relate to Data analysis on AWS.

Certification

AWS Certified Data Analytics - Specialty

This certification enables businesses to find and nurture personnel with the essential competencies to carry out cloud activities. AWS Certified Data Analytics – Specialty status verifies knowledge of how to use AWS data lakes and analytics services to extract insights from data.

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).

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