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Building Data Lakes on AWS

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Course description

In this course, you will develop an operational data lake that allows the study of structured and unstructured data. You will gain knowledge of the elements and features of the services used to build a data lake. You will create a data lake using AWS Lake Formation, a data catalog with AWS Glue, and data analysis with Amazon Athena. Your understanding is furthered by examining numerous typical data lake structures in the course lectures and laboratories.

Activities

This AWS training will include the following activities: 

  • Live Demonstrations 
  • Group Discussions 
  • Presentations 
  • Knowledge Checks

Course Objectives

Here’s what you’ll learn in this 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

Intended Audience

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

  • Data platform engineers
  • Solutions architects
  • IT professionals

Prerequisites

To qualify for taking up this course, you’ll need the following:

Module Breakdown

Course outline

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

CERTIFICAITON : 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.

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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.

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FAQ's

Is Cloud Wizard Consulting an official AWS training partner?

Yes, we have been since 2015.

Who should take up this course?

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

  • Data platform engineers
  • Solutions architects
  • IT professionals

What prior experience do you need for this course?

To qualify for taking up this course, you’ll need the following:

How do I enroll in this course?

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.

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Course Schedule

Course Name Date Register
No schedule found for this Course.

Course Overview

Duration 1D / 8 HRS
Modality ViLT/ Classroom
Data Sheet DOWNLOAD
Check Dates CLICK HERE
Price 15,000.00

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